Yu‐Min Shen

2.2k citations
40 papers · 603 · h-index 12

Impact in

Papers in

    • Platelet Disorders and Treatments 10
    • Blood groups and transfusion 4
    • Blood Coagulation and Thrombosis Mechanisms 4
    • Complement system in diseases 7

Yu‐Min Shen

36 papers receiving 577 citations

Peers

Yu‐Min Shen
Comparison fields: 5 of 85
  • Hematology 190
  • Internal Medicine 25
  • Immunology 145
  • Genetics 63
  • Nephrology 38
Replace Takakazu Higuchi with:
Takakazu Higuchi Japan
Josette Champagne Canada
John E. Curtis Canada
Derik Hermsen Germany
Michio Matsuzaki Japan
J Kerbauy Brazil
Daniel Coriu Romania
Silvia Negri Italy
S Kaufman Israel
Eva Norström Sweden
Yu‐Min Shen relative to Takakazu Higuchi Japan Takakazu Higuchi's profile →
Citations per field
00.5×4.8×
Takakazu Higuchi · 1×
Citations per year

Countries citing papers authored by Yu‐Min Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yu‐Min Shen Line = papers co-authored together Yu‐Min Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 201173
3 199363
4 201854
5 201345
6 201433
7 200833
8 201033
9 200527
10 202318
11 201417
12 202311
13 20249
14 20229
15 20059
16 20109
17 20188
18 20147
19 20226
20 20186

About Yu‐Min Shen

Yu‐Min Shen is a scholar working on Hematology, Immunology, Surgery, Genetics and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 603 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (10 papers), Complement system in diseases (7 papers), Heparin-Induced Thrombocytopenia and Thrombosis (6 papers), Systemic Lupus Erythematosus Research (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Blood groups and transfusion (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Hematology (190 citations), Internal Medicine (25 citations), Immunology (145 citations), Genetics (63 citations) and Nephrology (38 citations). Yu‐Min Shen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ravi Sarode, Karén Matevosyan, Cynthia Rutherford, Howard Sussman, Gilbert Chu, Lily Huang, Eugene P. Frenkel, Gamze B. Bulut, Sean G. Yates and Srikanth Gajavelli. Their work appears in journals such as Blood, British Journal of Haematology, Transfusion, Hematology/Oncology Clinics of North America and Thrombosis and Haemostasis.

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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