Shun‐Min Yang
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Structural Biology top 10%
Papers in
-
- Inflammasome and immune disorders 4
- Protist diversity and phylogeny 3
- Photosynthetic Processes and Mechanisms 2
-
- Renal Diseases and Glomerulopathies 7
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Shuk‐Man Ka (9 shared papers)Ann Chen (9 shared papers)Kuo‐Feng Hua (6 shared papers)Jim‐Tong Horng (1 shared paper)Wen‐Rou Wong (1 shared paper)Jia‐Ming Chang (3 shared papers)Louis Kuoping Chao (3 shared papers)Hao‐Ai Shui (2 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (3 papers)Nature Communications (1 paper)Frontiers in Plant Science (1 paper)Kidney International (1 paper)
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Shun‐Min Yang
23 papers receiving 733 citations
Peers
Comparison fields: 5 of 97
- Nephrology 115
- Structural Biology 23
- Biophysics 67
- Molecular Biology 381
- Immunology 100
Countries citing papers authored by Shun‐Min Yang
This map shows the geographic impact of Shun‐Min 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 Shun‐Min Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Min Yang more than expected).
Fields of papers citing papers by Shun‐Min Yang
This network shows the impact of papers produced by Shun‐Min 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 Shun‐Min Yang. The network helps show where Shun‐Min Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shun‐Min Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 99 | |
| 2 | 2005 | 92 | |
| 3 | 2013 | 76 | |
| 4 | 2014 | 58 | |
| 5 | 2014 | 56 | |
| 6 | 2019 | 53 | |
| 7 | 2019 | 52 | |
| 8 | 2013 | 47 | |
| 9 | 2016 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2019 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2018 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2017 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2000 | 3 | |
| 20 | 2022 | 2 |
About Shun‐Min Yang
Shun‐Min Yang is a scholar working on Molecular Biology, Nephrology, Ecology, Cell Biology and Immunology, having authored 23 papers that have together received 739 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Inflammasome and immune disorders (4 papers), Protist diversity and phylogeny (3 papers), Microbial Community Ecology and Physiology (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Nephrology (115 citations), Structural Biology (23 citations), Biophysics (67 citations), Molecular Biology (381 citations) and Immunology (100 citations). Shun‐Min Yang has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Shuk‐Man Ka, Ann Chen, Kuo‐Feng Hua, Jim‐Tong Horng, Wen‐Rou Wong, Jia‐Ming Chang, Louis Kuoping Chao, Hao‐Ai Shui, Pei‐Yi Tsai and Peilin Chen. Their work appears in journals such as PLoS ONE, Scientific Reports, Nature Communications, Frontiers in Plant Science and Kidney International.
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.