Chih‐Wei Yang
- Nephrology top 0.1%
- Molecular Biology top 10%
- Surgery top 5%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Saraladevi NaickerRajiv SaranLi ZuoKunitoshi IsekiGuillermo García-GarcíaBrett PlattnerVivekanand JhaAngela Yee‐Moon Wang
- Topics
- Liver Disease Diagnosis and Treatment (9 papers)Dialysis and Renal Disease Management (8 papers)Leptospirosis research and findings (8 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetThe Journal of Experimental Medicine
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chih‐Wei Yang
75 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Nephrology 2.2k
- Molecular Biology 909
- Surgery 747
- Epidemiology 665
- Endocrinology, Diabetes and Metabolism 641
Countries citing papers authored by Chih‐Wei Yang
This map shows the geographic impact of Chih‐Wei Yang'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 Chih‐Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Wei Yang more than expected).
Fields of papers citing papers by Chih‐Wei Yang
This network shows the impact of papers produced by Chih‐Wei Yang. 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 Chih‐Wei Yang. The network helps show where Chih‐Wei Yang may publish in the future.
Co-authorship network of co-authors of Chih‐Wei Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Wei Yang. A scholar is included among the top collaborators of Chih‐Wei Yang 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 Chih‐Wei Yang. Chih‐Wei Yang 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 | 2 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 37 | |
| 6 | 2 | |
| 7 | 62 | |
| 8 | 43 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | Sequential Organ Failure Assessment Score Predicts 3-Month Mortality after Molecular Adsorbent Recirculating System Dialysis | 1 |
| 13 | 41 | |
| 14 | 24 | |
| 15 | 63 | |
| 16 | 146 | |
| 17 | 11 | |
| 18 | 44 | |
| 19 | 2 | |
| 20 | 16 |
About Chih‐Wei Yang
Chih‐Wei Yang is a scholar working on Nephrology, Hepatology and Parasitology, having authored 81 papers that have together received 5.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Dialysis and Renal Disease Management (8 papers) and Leptospirosis research and findings (8 papers). The work is most often cited by research in Nephrology (2.2k citations), Clinical Biochemistry (314 citations) and Endocrinology, Diabetes and Metabolism (641 citations). Chih‐Wei Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Saraladevi Naicker, Rajiv Saran, Li Zuo, Kunitoshi Iseki, Guillermo García-García, Brett Plattner, Vivekanand Jha, Angela Yee‐Moon Wang, Liliane J. Striker and E P Peten. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and The Journal of Experimental Medicine.
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.