Yu‐Min Shen
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Hemophilia Treatment and Research
- Internal Medicine top 10%
Papers in
- Hematology 17
- Platelet Disorders and Treatments 12
- Blood groups and transfusion 5
- Blood Coagulation and Thrombosis Mechanisms 4
- Immunology 10
- Complement system in diseases 7
- Co-authors
- Ravi Sarode (19 shared papers)Karén Matevosyan (5 shared papers)Cynthia Rutherford (2 shared papers)Gilbert Chu (1 shared paper)Howard Sussman (1 shared paper)Eugene P. Frenkel (8 shared papers)Sean G. Yates (7 shared papers)Lily Huang (1 shared paper)
- Journals
- Blood (8 papers)British Journal of Haematology (6 papers)Transfusion (2 papers)Cancer (1 paper)Blood Coagulation & Fibrinolysis (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Yu‐Min Shen
33 papers receiving 543 citations
Peers
Comparison fields: 5 of 86
- Hematology 202
- Internal Medicine 39
- Nephrology 50
- Immunology 142
- Genetics 65
Countries citing papers authored by Yu‐Min Shen
This map shows the geographic impact of Yu‐Min Shen'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 Yu‐Min Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Min Shen more than expected).
Fields of papers citing papers by Yu‐Min Shen
This network shows the impact of papers produced by Yu‐Min Shen. 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 Yu‐Min Shen. The network helps show where Yu‐Min Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Min Shen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2011 | 69 | |
| 3 | 1993 | 54 | |
| 4 | 2018 | 53 | |
| 5 | 2013 | 45 | |
| 6 | 2014 | 31 | |
| 7 | 2008 | 30 | |
| 8 | 2005 | 26 | |
| 9 | 2010 | 25 | |
| 10 | 2023 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2005 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2022 | 6 |
About Yu‐Min Shen
Yu‐Min Shen is a scholar working on Hematology, Immunology, Surgery, Genetics and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 554 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Complement system in diseases (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Systemic Lupus Erythematosus Research (6 papers), Heparin-Induced Thrombocytopenia and Thrombosis (6 papers), Blood groups and transfusion (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Hematology (202 citations), Internal Medicine (39 citations), Nephrology (50 citations), Immunology (142 citations) and Genetics (65 citations). Yu‐Min Shen has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ravi Sarode, Karén Matevosyan, Cynthia Rutherford, Gilbert Chu, Howard Sussman, Eugene P. Frenkel, Sean G. Yates, Lily Huang, Gamze B. Bulut and David Y. Hui. Their work appears in journals such as Blood, British Journal of Haematology, Transfusion, Cancer and Blood Coagulation & Fibrinolysis.
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.