| # | 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) | 91 |
| 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 | 79 |
| 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 | 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 | 62 |
| 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 | 35 |
| 7 | Informatics for metabolomics | Kusonmano K., Vongsangnak W., Chumnanpuen P. | 2016 | Advances in Experimental Medicine and Biology
939,pp. 91-115 | 27 |
| 8 | 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 | 21 |
| 9 | 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) | 18 |
| 10 | 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 | 18 |
| 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 | 17 |
| 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 | 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) | 14 |
| 15 | 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 |
| 16 | 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
| 11 |
| 17 | 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) | 10 |
| 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) | 10 |
| 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) | 9 |
| 20 | 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 | 9 |
| 21 | 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) | 8 |
| 22 | 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) | 8 |
| 23 | 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 | 8 |
| 24 | 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) | 8 |
| 25 | 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) | 7 |
| 26 | 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 |
| 27 | 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 |
| 28 | 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 |
| 29 | 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 |
| 30 | 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) | 5 |
| 31 | 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) | 5 |
| 32 | 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
| 5 |
| 33 | 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 | 4 |
| 34 | 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 |
| 35 | 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 |
| 36 | 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) | 3 |
| 37 | 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) | 3 |
| 38 | 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 |
| 39 | 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 |
| 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 | 2 |
| 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 | 2 |
| 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) | 2 |
| 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 | 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 |
| 45 | 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 |
| 46 | 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 |
| 47 | 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) | 1 |
| 48 | 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
| 1 |
| 49 | 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) | 1 |
| 50 | 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) | 0 |
| 51 | 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
| 0 |
| 52 | 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 | 0 |
| 53 | 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 |