Panita Pathipvanich
- Infectious Diseases top 10%
- Virology top 5%
- Immunology
- Epidemiology
- Hepatology
- Co-authors
- Koya AriyoshiPathom SawanpanyalertArchawin RojanawiwatNuanjun WichukchindaWattana AuwanitTatsuo ShiodaNaho TsuchiyaEmi E. Nakayama
- Topics
- HIV/AIDS Research and Interventions (19 papers)HIV Research and Treatment (17 papers)HIV/AIDS drug development and treatment (12 papers)
- Partner nations
- ThailandJapanUnited States
In The Last Decade
Panita Pathipvanich
33 papers receiving 359 citations
Peers
Comparison fields: 5 of 48
- Infectious Diseases 205
- Virology 192
- Immunology 132
- Epidemiology 130
- Hepatology 39
Countries citing papers authored by Panita Pathipvanich
This map shows the geographic impact of Panita Pathipvanich'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 Panita Pathipvanich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panita Pathipvanich more than expected).
Fields of papers citing papers by Panita Pathipvanich
This network shows the impact of papers produced by Panita Pathipvanich. 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 Panita Pathipvanich. The network helps show where Panita Pathipvanich may publish in the future.
Co-authorship network of co-authors of Panita Pathipvanich
This figure shows the co-authorship network connecting the top 25 collaborators of Panita Pathipvanich. A scholar is included among the top collaborators of Panita Pathipvanich 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 Panita Pathipvanich. Panita Pathipvanich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 22 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | Screening scheme development for active TB prediction among HIV-infected patients. | 4 |
| 12 | 11 | |
| 13 | 18 | |
| 14 | 29 | |
| 15 | Demographic, socio-economic, behavioral and clinical factors predicting virologic failure with generic fixed-dose combination antiretroviral therapy before universal health insurance coverage in northern Thailand. | 8 |
| 16 | 1 | |
| 17 | 38 | |
| 18 | 31 | |
| 19 | 4 | |
| 20 | 14 |
About Panita Pathipvanich
Panita Pathipvanich is a scholar working on Virology, Infectious Diseases and Immunology, having authored 34 papers that have together received 365 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (19 papers), HIV Research and Treatment (17 papers) and HIV/AIDS drug development and treatment (12 papers). The work is most often cited by research in Virology (192 citations), Infectious Diseases (205 citations) and Immunology (132 citations). Panita Pathipvanich has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Koya Ariyoshi, Pathom Sawanpanyalert, Archawin Rojanawiwat, Nuanjun Wichukchinda, Wattana Auwanit, Tatsuo Shioda, Naho Tsuchiya, Emi E. Nakayama, Toshiyuki Miura and Masahiko Mori. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases 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.