Prasit Tharavichitkul
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Molecular Biology
- Endocrinology top 5%
- Co-authors
- Marcelo GottschalkDaisuke TakamatsuTsutomu SekizakiMakoto OsakiThira SirisanthanaSuparaporn WangkaewKhuanchai SupparatpinyoRomanee Chaiwarith
- Topics
- Streptococcal Infections and Treatments (18 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Infective Endocarditis Diagnosis and Management (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
In The Last Decade
Prasit Tharavichitkul
39 papers receiving 957 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 458
- Public Health, Environmental and Occupational Health 387
- Epidemiology 328
- Molecular Biology 233
- Endocrinology 147
Countries citing papers authored by Prasit Tharavichitkul
This map shows the geographic impact of Prasit Tharavichitkul'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 Tharavichitkul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasit Tharavichitkul more than expected).
Fields of papers citing papers by Prasit Tharavichitkul
This network shows the impact of papers produced by Prasit Tharavichitkul. 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 Tharavichitkul. The network helps show where Prasit Tharavichitkul may publish in the future.
Co-authorship network of co-authors of Prasit Tharavichitkul
This figure shows the co-authorship network connecting the top 25 collaborators of Prasit Tharavichitkul. A scholar is included among the top collaborators of Prasit Tharavichitkul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prasit Tharavichitkul. Prasit Tharavichitkul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 91 | |
| 3 | 9 | |
| 4 | 26 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 55 | |
| 8 | 83 | |
| 9 | 4 | |
| 10 | ISOLATION OF CRYPTOCOCCUS NEOFORMANS FROM AVIAN DROPPINGS IN CHIANG MAI FROM DECEMBER 2005 TO MAY 2006 | 1 |
| 11 | 52 | |
| 12 | 15 | |
| 13 | 73 | |
| 14 | 24 | |
| 15 | 50 | |
| 16 | 8 | |
| 17 | 19 | |
| 18 | Streptococcus suis infection in northern Thailand. | 34 |
| 19 | 7 | |
| 20 | 82 |
About Prasit Tharavichitkul
Prasit Tharavichitkul is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (18 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Infective Endocarditis Diagnosis and Management (8 papers). The work is most often cited by research in Endocrinology (147 citations), Infectious Diseases (458 citations) and Molecular Medicine (118 citations). Prasit Tharavichitkul has collaborated with scholars based in Thailand, Japan and Canada. Frequent co-authors include Marcelo Gottschalk, Daisuke Takamatsu, Tsutomu Sekizaki, Makoto Osaki, Thira Sirisanthana, Suparaporn Wangkaew, Khuanchai Supparatpinyo, Romanee Chaiwarith, Shinji Takaı̈ and Nahuel Fittipaldi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.
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.