Pisit Tangkijvanich
- Epidemiology top 1%
- Hepatology top 0.2%
- Molecular Biology top 5%
- Cancer Research top 5%
- Infectious Diseases top 5%
- Co-authors
- Yong PoovorawanNatthaya ChuaypenApiradee TheamboonlersPinit KullavanijayaNattiya HirankarnOrawon ChailapakulSunchai PayungpornDuangporn Thong‐Ngam
- Topics
- Liver Disease Diagnosis and Treatment (119 papers)Hepatitis B Virus Studies (118 papers)Hepatitis C virus research (116 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- ThailandUnited StatesJapan
In The Last Decade
Pisit Tangkijvanich
253 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 143
- Epidemiology 2.5k
- Hepatology 2.3k
- Molecular Biology 1.6k
- Cancer Research 634
- Infectious Diseases 460
Countries citing papers authored by Pisit Tangkijvanich
This map shows the geographic impact of Pisit Tangkijvanich'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 Pisit Tangkijvanich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pisit Tangkijvanich more than expected).
Fields of papers citing papers by Pisit Tangkijvanich
This network shows the impact of papers produced by Pisit Tangkijvanich. 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 Pisit Tangkijvanich. The network helps show where Pisit Tangkijvanich may publish in the future.
Co-authorship network of co-authors of Pisit Tangkijvanich
This figure shows the co-authorship network connecting the top 25 collaborators of Pisit Tangkijvanich. A scholar is included among the top collaborators of Pisit Tangkijvanich 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 Pisit Tangkijvanich. Pisit Tangkijvanich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 60 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | The correlation between markers of oxidative stress and risk factors of coronary artery disease in Thai patients. | 18 |
About Pisit Tangkijvanich
Pisit Tangkijvanich is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 265 papers that have together received 5.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (119 papers), Hepatitis B Virus Studies (118 papers) and Hepatitis C virus research (116 papers). The work is most often cited by research in Hepatology (2.3k citations), Epidemiology (2.5k citations) and Cancer Research (634 citations). Pisit Tangkijvanich has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Yong Poovorawan, Natthaya Chuaypen, Apiradee Theamboonlers, Pinit Kullavanijaya, Nattiya Hirankarn, Orawon Chailapakul, Sunchai Payungporn, Duangporn Thong‐Ngam, Apiwat Mutirangura and Narin Voravud. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.