Shun‐Min Yang

949 total citations
23 papers, 731 citations indexed

About

Shun‐Min Yang is a scholar working on Molecular Biology, Nephrology and Ecology. According to data from OpenAlex, Shun‐Min Yang has authored 23 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Nephrology and 3 papers in Ecology. Recurrent topics in Shun‐Min Yang's work include Renal Diseases and Glomerulopathies (7 papers), Inflammasome and immune disorders (4 papers) and Microbial Community Ecology and Physiology (3 papers). Shun‐Min Yang is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Inflammasome and immune disorders (4 papers) and Microbial Community Ecology and Physiology (3 papers). Shun‐Min Yang collaborates with scholars based in Taiwan, United States and Czechia. Shun‐Min Yang's co-authors include Ann Chen, Shuk‐Man Ka, Kuo‐Feng Hua, Wen‐Rou Wong, Jim‐Tong Horng, Louis Kuoping Chao, Jia‐Ming Chang, Pei‐Yi Tsai, Hao‐Ai Shui and Xiao‐Ru Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Shun‐Min Yang

23 papers receiving 722 citations

Peers

Shun‐Min Yang
Comparison fields: 5 of 97
  • Molecular Biology 413
  • Nephrology 127
  • Immunology 117
  • Cardiology and Cardiovascular Medicine 67
  • Biophysics 67
Replace Yi Ming Shao with:
Yi Ming Shao China
Henry R. Wolfe United States
Renu Goel India
Hongyan Liu China
Michael Eder Austria
Christian Goetz France
Li Zhu China
Luca Brunelli United States
Donald J. Wolfgeher United States
Melanie Y. White Australia
Yi Ming Shao China View profile →
Citations per field, relative to Shun‐Min Yang
Shun‐Min Yang · 1×
Citations per year, relative to Shun‐Min Yang
Shun‐Min Yang · 1×

Countries citing papers authored by Shun‐Min Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shun‐Min Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Min Yang. A scholar is included among the top collaborators of Shun‐Min 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 Shun‐Min Yang. Shun‐Min Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 2
5 22
6 7
7 20
8 51
9 51
10 16
11 10
12 30
13 58
14 56
15 16
16 47
17 75
18 100
19 91
20 3

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.

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