Phasit Charoenkwan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Protein Hydrolysis and Bioactive Peptides
- Genomics and Phylogenetic Studies
Papers in
-
- Machine Learning in Bioinformatics 40
- vaccines and immunoinformatics approaches 17
- RNA and protein synthesis mechanisms 13
- Protein Structure and Dynamics 6
- Biochemical and Structural Characterization 5
-
- Computational Drug Discovery Methods 10
- Co-authors
- Watshara Shoombuatong (50 shared papers)Chanin Nantasenamat (21 shared papers)Md Mehedi Hasan (17 shared papers)Nalini Schaduangrat (25 shared papers)Balachandran Manavalan (11 shared papers)Mohammad Ali Moni (16 shared papers)Shinn‐Ying Ho (15 shared papers)Janchai Yana (3 shared papers)
In The Last Decade
Phasit Charoenkwan
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 138
- Microbiology 244
- Molecular Biology 1.6k
- Nutrition and Dietetics 330
- Computational Theory and Mathematics 282
- Sensory Systems 67
Countries citing papers authored by Phasit Charoenkwan
This map shows the geographic impact of Phasit Charoenkwan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phasit Charoenkwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phasit Charoenkwan more than expected).
Fields of papers citing papers by Phasit Charoenkwan
This network shows the impact of papers produced by Phasit Charoenkwan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phasit Charoenkwan. The network helps show where Phasit Charoenkwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Phasit Charoenkwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 148 | |
| 2 | 2021 | 147 | |
| 3 | 2011 | 117 | |
| 4 | 2021 | 114 | |
| 5 | 2020 | 111 | |
| 6 | 2021 | 93 | |
| 7 | 2020 | 85 | |
| 8 | 2013 | 81 | |
| 9 | 2012 | 78 | |
| 10 | 2019 | 71 | |
| 11 | 2021 | 67 | |
| 12 | 2021 | 67 | |
| 13 | 2020 | 61 | |
| 14 | 2020 | 55 | |
| 15 | 2020 | 54 | |
| 16 | 2022 | 51 | |
| 17 | 2022 | 45 | |
| 18 | 2021 | 45 | |
| 19 | 2021 | 38 | |
| 20 | 2023 | 34 |
About Phasit Charoenkwan
Phasit Charoenkwan is a scholar working on Molecular Biology, Computational Theory and Mathematics, Microbiology, Artificial Intelligence and Biomedical Engineering, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (40 papers), vaccines and immunoinformatics approaches (17 papers), RNA and protein synthesis mechanisms (13 papers), Antimicrobial Peptides and Activities (10 papers), Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers), Biochemical and Structural Characterization (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Microbiology (244 citations), Molecular Biology (1.6k citations), Nutrition and Dietetics (330 citations), Computational Theory and Mathematics (282 citations) and Sensory Systems (67 citations). Phasit Charoenkwan has collaborated with scholars based in Thailand, Taiwan and Australia. Frequent co-authors include Watshara Shoombuatong, Chanin Nantasenamat, Md Mehedi Hasan, Nalini Schaduangrat, Balachandran Manavalan, Mohammad Ali Moni, Shinn‐Ying Ho, Janchai Yana, Píetro Lió and Hui-Ling Huang. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Computers in Biology and Medicine, PLoS ONE and International Journal of Molecular Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.