| # | Document title | Authors | Year | Source | Cited by |
| 1 | Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD | Khoomrung S., Chumnanpuen P., Chumnanpuen P., Jansa-Ard S., Staìšhlman M., Nookaew I., Borén J., Nielsen J. | 2013 | Analytical Chemistry,
85(10), pp. 4912-4919 | 111 |
| 2 | Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains | Canelas A.B., Harrison N., Fazio A., Zhang J., Pitkänen J.P., Van Den Brink J., Bakker B.M., Bogner L., Bouwman J., Castrillo J.I., Cankorur A., Chumnanpuen P., Daran-Lapujade P., Dikicioglu D., Van Eunen K., Ewald J.C., Heijnen J.J., Kirdar B., Mattila I., Mensonides F.I.C., Niebel A., Penttilä M., Pronk J.T., Reuss M., Salusjärvi L., Sauer U., Sherman D., Siemann-Herzberg M., Westerhoff H., De Winde J., Petranovic D., Oliver S.G., Workman C.T., Zamboni N., Nielsen J. | 2010 | Nature Communications,
1(9), 145 | 92 |
| 3 | Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions | E-Kobon T., Thongararm P., Roytrakul S., Meesuk L., Chumnanpuen P. | 2016 | Computational and Structural Biotechnology Journal,
14, pp. 49-57 | 82 |
| 4 | Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae | Zhang J., Vaga S., Chumnanpuen P., Kumar R., Vemuri G., Aebersold R., Aebersold R., Nielsen J. | 2011 | Molecular Systems Biology,
7, 545 | 70 |
| 5 | Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae | Khoomrung S., Chumnanpuen P., Jansa-Ard S., Nookaew I., Nielsen J. | 2012 | Applied Microbiology and Biotechnology,
94(6), pp. 1637-1646 | 63 |
| 6 | Alternative metabolic routes in channeling xylose to cordycepin production of Cordyceps militaris identified by comparative transcriptome analysis | Wongsa B., Raethong N., Chumnanpuen P., Wong-ekkabut J., Laoteng K., Vongsangnak W. | 2020 | Genomics,
112(1), pp. 629-636 | 37 |
| 7 | Informatics for metabolomics | Kusonmano K., Vongsangnak W., Chumnanpuen P. | 2016 | Advances in Experimental Medicine and Biology,
939, pp. 91-115 | 27 |
| 8 | Mucus of Achatina fulica stimulates mineralization and inflammatory response in dental pulp cells | Kantawong F., Thaweenan P., Mungkala S., Tamang S., Manaphan R., Wanachantararak P., E-Kobon T., Chumnanpuen P. | 2016 | Turkish Journal of Biology,
40(2), pp. 353-359 | 21 |
| 9 | Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeast | Chumnanpuen P., Chumnanpuen P., Nookaew I., Nielsen J. | 2013 | BMC Systems Biology,
7, S7 | 21 |
| 10 | Unveiling putative functions of mucus proteins and their tryptic peptides in seven gastropod species using comparative proteomics and machine learning-based bioinformatics predictions | Tachapuripunya V., Roytrakul S., Chumnanpuen P., E-kobon T. | 2021 | Molecules,
26(11), 3475 | 19 |
| 11 | Morphological development of glochidia in artificial media through early juvenile of freshwater pearl mussel, Hyriopsis (Hyriopsis) bialatus Simpson, 1900 | Chumnanpuen P., Kovitvadhi U., Chatchavalvanich K., Thongpan A., Kovitvadhi S. | 2011 | Invertebrate Reproduction and Development,
55(1), pp. 40-52 | 18 |
| 12 | Dynamic metabolic footprinting reveals the key components of metabolic network in yeast saccharomyces cerevisiae | Chumnanpuen P., Hansen M., Smedsgaard J., Nielsen J. | 2014 | International Journal of Genomics,
2014, 894296 | 17 |
| 13 | Integrated analysis of transcriptome and lipid profiling reveals the co-influences of inositol-choline and Snf1 in controlling lipid biosynthesis in yeast | Chumnanpuen P., Zhang J., Nookaew I., Nielsen J. | 2012 | Molecular Genetics and Genomics,
287(7), pp. 541-554 | 16 |
| 14 | Transcriptome analysis reveals candidate genes involved in luciferin metabolism in Luciola aquatilis (Coleoptera: Lampyridae) | Vongsangnak W., Chumnanpuen P., Sriboonlert A. | 2016 | PeerJ,
2016(10), e2534 | 14 |
| 15 | Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides | Charoenkwan P., Chumnanpuen P., Schaduangrat N., Lio’ P., Moni M.A., Shoombuatong W. | 2022 | Journal of Computer-Aided Molecular Design | 14 |
| 16 | Computer-Aided Virtual Screening and In Vitro Validation of Biomimetic Tyrosinase Inhibitory Peptides from Abalone Peptidome | Kongsompong S., E-kobon T., Taengphan W., Sangkhawasi M., Khongkow M., Chumnanpuen P. | 2023 | International Journal of Molecular Sciences,
24(4), 3154 | 13 |
| 17 | Lipid biosynthesis monitored at the single-cell level in Saccharomyces cerevisiae | Chumnanpuen P., Brackmann C., Nandy S., Chatzipapadopoulos S., Nielsen J., Enejder A. | 2012 | Biotechnology Journal,
7(5), pp. 594-601 | 13 |
| 18 | K-Nearest Neighbor and Random Forest-Based Prediction of Putative Tyrosinase Inhibitory Peptides of Abalone Haliotis diversicolor | Kongsompong S., E-Kobon T., Chumnanpuen P. | 2021 | Molecules (Basel, Switzerland),
26(12) | 13 |
| 19 | Virtual screening for biomimetic anti-cancer peptides from cordyceps militaris putative pepsinized peptidome and validation on colon cancer cell line | Chantawannakul J., Chatpattanasiri P., Wattayagorn V., Kongsema M., Noikaew T., Chumnanpuen P. | 2021 | Molecules,
26(19), 5767 | 10 |
| 20 | Prediction of Antibacterial Peptides against Propionibacterium acnes from the Peptidomes of Achatina fulica Mucus Fractions | Chalongkulasak S., E-Kobon T., Chumnanpuen P. | 2022 | Molecules,
27(7), 2290 | 10 |
| 21 | Identification of potential candidate genes involved in the sex determination cascade in an aquatic firefly, Sclerotia aquatilis (Coleoptera, Lampyridae) | Nguantad S., Chumnanpuen P., Thancharoen A., Vongsangnak W., Sriboonlert A. | 2020 | Genomics,
112(3), pp. 2590-2602 | 10 |
| 22 | PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning | Charoenkwan P., Chumnanpuen P., Schaduangrat N., Oh C., Manavalan B., Shoombuatong W. | 2023 | Computers in Biology and Medicine,
158, 106784 | 10 |
| 23 | Riceberry Rice Bran Protein Hydrolyzed Fractions Induced Apoptosis, Senescence and G1/S Cell Cycle Arrest in Human Colon Cancer Cell Lines | Wattayagorn V., Kongsema M., Tadakittisarn S., Chumnanpuen P. | 2022 | Applied Sciences (Switzerland),
12(14), 6917 | 10 |
| 24 | Virtual Screening for SARS-CoV-2 Main Protease Inhibitory Peptides from the Putative Hydrolyzed Peptidome of Rice Bran | Harnkit N., Khongsonthi T., Masuwan N., Prasartkul P., Noikaew T., Chumnanpuen P. | 2022 | Antibiotics,
11(10), 1318 | 10 |
| 25 | Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction | Shoombuatong W., Homdee N., Schaduangrat N., Chumnanpuen P. | 2024 | Scientific Reports,
14(1), 4463 | 9 |
| 26 | iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides | Charoenkwan P., Schaduangrat N., Lio P., Moni M.A., Chumnanpuen P., Shoombuatong W. | 2022 | ACS Omega | 7 |
| 27 | Computer-Aided Screening for Potential Coronavirus 3-Chymotrypsin-like Protease (3CLpro) Inhibitory Peptides from Putative Hemp Seed Trypsinized Peptidome | Prasertsuk K., Prongfa K., Suttiwanich P., Harnkit N., Sangkhawasi M., Promta P., Chumnanpuen P. | 2023 | Molecules,
28(1), 50 | 7 |
| 28 | Amplification and bioinformatics analysis of conserved FAD-binding region of L-amino acid oxidase (LAAO) genes in gastropods compared to other organisms | Suwannapan W., Chumnanpuen P., E-kobon T. | 2018 | Computational and Structural Biotechnology Journal,
16, pp. 98-107 | 7 |
| 29 | Gross morphological structure of digestive system in water monitor lizard varanus salvator (Squamata: Varanidae) | Srichairat N., Taksintum W., Chumnanpuen P. | 2018 | Walailak Journal of Science and Technology,
15(3), pp. 245-253 | 7 |
| 30 | Enhancing Genome-Scale Model by Integrative Exometabolome and Transcriptome: Unveiling Carbon Assimilation towards Sphingolipid Biosynthetic Capability of Cordyceps militaris | Cheawchanlertfa P., Chitcharoen S., Chitcharoen S., Raethong N., Liu Q., Chumnanpuen P., Soommat P., Song Y., Song Y., Koffas M., Laoteng K., Vongsangnak W. | 2022 | Journal of Fungi,
8(8), 887 | 6 |
| 31 | TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides | Charoenkwan P., Kongsompong S., Schaduangrat N., Chumnanpuen P., Shoombuatong W. | 2023 | BMC Bioinformatics,
24(1), 356 | 6 |
| 32 | Understanding Snail Mucus Biosynthesis and Shell Biomineralisation through Genomic Data Mining of the Reconstructed Carbohydrate and Glycan Metabolic Pathways of the Giant African Snail (Achatina fulica) | Nualnisachol P., Chumnanpuen P., E-kobon T. | 2023 | Biology,
12(6), 836 | 5 |
| 33 | Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral Peptides | Charoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W. | 2024 | Journal of Molecular Biology,
168853 | 5 |
| 34 | Comparison of Hyaluronic Acid Biosynthetic Genes From Different Strains of Pasteurella multocida | Pasomboon P., Chumnanpuen P., E-kobon T. | 2021 | Bioinformatics and Biology Insights,
15 | 5 |
| 35 | Iron-associated protein interaction networks reveal the key functional modules related to survival and virulence of Pasteurella multocida | Jatuponwiphat T., Chumnanpuen P., Othman S., E-kobon T., Vongsangnak W. | 2019 | Microbial Pathogenesis,
127, pp. 257-266 | 5 |
| 36 | Microanatomy of the digestive system of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona) | Muikham I., Srakaew N., Chatchavalvanich K., Chumnanpuen P. | 2017 | Acta Zoologica,
98(3), pp. 252-270 | 4 |
| 37 | TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus | Charoenkwan P., Waramit S., Chumnanpuen P., Schaduangrat N., Shoombuatong W. | 2023 | PloS one,
18(8), pp. e0290538, e0290538 | 4 |
| 38 | Computational Screening for the Dipeptidyl Peptidase-IV Inhibitory Peptides from Putative Hemp Seed Hydrolyzed Peptidome as a Potential Antidiabetic Agent | Thongtak A., Yutisayanuwat K., Harnkit N., Noikaew T., Chumnanpuen P. | 2024 | International Journal of Molecular Sciences,
25(11), 5730 | 3 |
| 39 | Histological and histochemical studies of the gastrointestinal tract in the water monitor lizard (Varanus salvator) | Srichairat N., Taksintum W., Chumnanpuen P. | 2021 | Acta Zoologica | 3 |
| 40 | Mucous cell distribution and mucus production during early growth periods of the giant African snail (Achatina fulica) | Suwannapan W., Ngankoh S., E-Kobon T., Chumnanpuen P. | 2019 | Agriculture and Natural Resources,
53(4), pp. 423-428 | 3 |
| 41 | PI3K/Akt signaling involved with osteoinductive effects of Achatina fulica Mucus | Kantawong F., Jearasakwattana T., Nira A., Chewae J., Sajjamongkol P., Phothong P., E-kobon T., Chumnanpuen P. | 2020 | Brazilian Archives of Biology and Technology,
63, e20180501 | 3 |
| 42 | Interaction study of Pasteurella multocida with culturable aerobic bacteria isolated from porcine respiratory tracts using coculture in conditioned media | Hanchanachai N., Chumnanpuen P., E-kobon T. | 2021 | BMC Microbiology,
21(1), 19 | 3 |
| 43 | A study of the aphrodisiac properties of Cordyceps militaris in streptozotocin-induced diabetic male rats | van Nguyen T., Chumnanpuen P., Parunyakul K., Srisuksai K., Fungfuang W. | 2021 | Veterinary World,
14(2), pp. 537-544 | 2 |
| 44 | Prevention potential of Cordyceps militaris aqueous extract against cyclophosphamind-induced mutagenicity and sperm abnormality in rats | Tongmai T., Maketon M., Chumnanpuen P. | 2018 | Agriculture and Natural Resources,
52(5), pp. 419-423 | 2 |
| 45 | Histomorphological studies of the testis and male genital ducts of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona) | Pewhom A., Chumnanpuen P., Muikham I., Chatchavalvanich K., Srakaew N. | 2016 | Acta Zoologica,
97(1), pp. 76-89 | 2 |
| 46 | Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework | Charoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W. | 2024 | Journal of Biomolecular Structure and Dynamics | 2 |
| 47 | Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides | Charoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W. | 2025 | Methods,
234, pp. 131-140 | 2 |
| 48 | Effect of conditioned media from Aeromonas caviae on the transcriptomic changes of the porcine isolates of Pasteurella multocida | Hanchanachai N., Chumnanpuen P., E-kobon T. | 2022 | BMC Microbiology,
22(1), 272 | 1 |
| 49 | Histological and histochemical characteristics of the oral, pharyngeal and accessory digestive organs in the water monitor lizard (Varanus salvator) from Thailand | Srichairat N., Taksintum W., Chumnanpuen P. | 2022 | Journal of Veterinary Medicine Series C: Anatomia Histologia Embryologia | 1 |
| 50 | Using socio-scientific issues-based teaching to develop grade 10 students’ informal reasoning skills | Jansong C., Pitiporntapin S., Chumnanpuen P., Hines L.M., Yokyong S. | 2022 | Kasetsart Journal of Social Sciences,
43(1), pp. 217-222 | 1 |
| 51 | Molecular characterisation of the GdhA- Derivative of pasteurella multocida B:2 | Azam F.M., Azam F.M., Zamri-Saad M., Rahim R.A., Chumnanpuen P., E-Kobon T., Othman S. | 2021 | Pertanika Journal of Tropical Agricultural Science,
44(1), pp. 171-192 | 1 |
| 52 | Microscopic structures of the ovary and female genital ducts of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona) | Pewhom A., Chumnanpuen P., Muikham I., Chatchavalvanich K., Srakaew N. | 2016 | Acta Zoologica,
97(4), pp. 454-463 | 0 |
| 53 | Expanded Gene Regulatory Network Reveals Potential Light-Responsive Transcription Factors and Target Genes in Cordyceps militaris | Buradam P., Thananusak R., Koffas M., Koffas M., Chumnanpuen P., Vongsangnak W. | 2024 | International Journal of Molecular Sciences,
25(19), 10516 | 0 |
| 54 | Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy | Shoombuatong W., Schaduangrat N., Homdee N., Ahmed S., Ahmed S., Chumnanpuen P. | 2025 | Scientific Reports,
15(1), 4762 | 0 |
| 55 | Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language Models | Shoombuatong W., Mookdarsanit P., Mookdarsanit L., Schaduangrat N., Ahmed S., Ahmed S., Kabir M., Chumnanpuen P. | 2025 | Interdisciplinary Sciences - Computational Life Sciences | 0 |
| 56 | Dissecting Metabolic Functions and Sugar Transporters Using Genome and Transportome of Probiotic Limosilactobacillus fermentum KUB-D18 | He Y., Mok K., Chumnanpuen P., Nakphaichit M., Vongsangnak W. | 2025 | Genes,
16(3), 348 | 0 |
| 57 | Study of Anticancer Applications of Ag/Er co-doped ZnO Nanostructures as Potential Candidate Nanomedicine | Srithongkul N., Imboon T., Chumnanpuen P., Harnkit N., Wattayagorn V., Ghosh S., Ghosh S., Chotikaprakhan S., Thongmee S. | 2025 | E3S Web of Conferences,
619, 05002 | 0 |