Prasit Palittapongarnpim
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 71
- Antimicrobial Resistance in Staphylococcus 6
- Epidemiology top 2%
- Mycobacterium research and diagnosis 66
- Endocrinology top 5%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 9
- Surgery top 5%
- Diagnosis and treatment of tuberculosis 16
- Infectious Diseases and Tuberculosis 12
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- RNA and protein synthesis mechanisms 9
- Biochemical and Molecular Research 6
- Co-authors
- Scott G. FranzblauNat SmittipatJames M. MusserRichard FrothinghamPeter W. M. HermansJan D. A. van EmbdenLee W. RileyKristin Kremer
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (1 paper)Scientific Reports (10 papers)
- Partner nations
- ThailandJapanUnited States
In The Last Decade
Prasit Palittapongarnpim
105 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 1.4k
- Epidemiology 1.3k
- Endocrinology 101
- Molecular Medicine 94
- Surgery 765
Countries citing papers authored by Prasit Palittapongarnpim
This map shows the geographic impact of Prasit Palittapongarnpim'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 Prasit Palittapongarnpim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasit Palittapongarnpim more than expected).
Fields of papers citing papers by Prasit Palittapongarnpim
This network shows the impact of papers produced by Prasit Palittapongarnpim. 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 Prasit Palittapongarnpim. The network helps show where Prasit Palittapongarnpim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prasit Palittapongarnpim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 8 | |
| 16 | 2011 | 31 | |
| 17 | 2011 | 24 | |
| 18 | 2009 | 22 | |
| 19 | 2008 | 31 | |
| 20 | 2008 | 24 |
About Prasit Palittapongarnpim
Prasit Palittapongarnpim is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (71 papers), Mycobacterium research and diagnosis (66 papers), Diagnosis and treatment of tuberculosis (16 papers), Infectious Diseases and Tuberculosis (12 papers), RNA and protein synthesis mechanisms (9 papers), Antibiotic Resistance in Bacteria (9 papers), Biochemical and Molecular Research (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Epidemiology (1.3k citations) and Endocrinology (101 citations). Prasit Palittapongarnpim has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Scott G. Franzblau, Nat Smittipat, James M. Musser, Richard Frothingham, Peter W. M. Hermans, Jan D. A. van Embden, Lee W. Riley, Kristin Kremer, Carlos Martı́n and Bonnie B. Plikaytis. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.
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.