Supawit Tangpanithandee
- Health Informatics top 1%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Nephrology top 10%
- Surgery
- Co-authors
- Wisit CheungpasitpornCharat ThongprayoonPajaree KrisanapanJing MiaoSupawadee SuppadungsukOscar A. Garcia ValenciaMichael A. MaoIasmina Craici
- Topics
- Renal Transplantation Outcomes and Treatments (11 papers)Dialysis and Renal Disease Management (6 papers)Renal and Vascular Pathologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- ThailandUnited StatesJordan
In The Last Decade
Supawit Tangpanithandee
33 papers receiving 287 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 96
- Pulmonary and Respiratory Medicine 58
- Artificial Intelligence 56
- Nephrology 44
- Surgery 43
Countries citing papers authored by Supawit Tangpanithandee
This map shows the geographic impact of Supawit Tangpanithandee'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 Supawit Tangpanithandee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supawit Tangpanithandee more than expected).
Fields of papers citing papers by Supawit Tangpanithandee
This network shows the impact of papers produced by Supawit Tangpanithandee. 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 Supawit Tangpanithandee. The network helps show where Supawit Tangpanithandee may publish in the future.
Co-authorship network of co-authors of Supawit Tangpanithandee
This figure shows the co-authorship network connecting the top 25 collaborators of Supawit Tangpanithandee. A scholar is included among the top collaborators of Supawit Tangpanithandee 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 Supawit Tangpanithandee. Supawit Tangpanithandee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 53 | |
| 13 | 6 | |
| 14 | 32 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 18 | |
| 20 | 7 |
About Supawit Tangpanithandee
Supawit Tangpanithandee is a scholar working on Transplantation, Health Informatics and Nephrology, having authored 36 papers that have together received 294 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (11 papers), Dialysis and Renal Disease Management (6 papers) and Renal and Vascular Pathologies (6 papers). The work is most often cited by research in Health Informatics (96 citations), Transplantation (29 citations) and Nephrology (44 citations). Supawit Tangpanithandee has collaborated with scholars based in Thailand, United States and Jordan. Frequent co-authors include Wisit Cheungpasitporn, Charat Thongprayoon, Pajaree Krisanapan, Jing Miao, Supawadee Suppadungsuk, Oscar A. Garcia Valencia, Michael A. Mao, Iasmina Craici, Pattharawin Pattharanitima and Fawad Qureshi. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.