Ming‐Yi Shen

2.4k citations
80 papers · 2.0k · h-index 26

Impact in

Papers in

Ming‐Yi Shen

77 papers receiving 1.9k citations

Peers

Ming‐Yi Shen
Comparison fields: 5 of 124
  • Biochemistry 206
  • Geriatrics and Gerontology 75
  • Clinical Biochemistry 94
  • Pharmacology 218
  • Pharmacology 110
Replace Hiromichi Wada with:
Hiromichi Wada Japan
Montserrat Rojo de la Vega United States
Po‐Len Liu Taiwan
Mi Jeong Sung South Korea
Junichiro Yamamoto Japan
Heqing Huang China
Wei Deng China
Yen‐Mei Lee Taiwan
Ebtehal El‐Demerdash Egypt
Guang Liang China
Ming‐Yi Shen relative to Hiromichi Wada Japan Hiromichi Wada's profile →
Citations per field
00.5×1.5×2.3×
Hiromichi Wada · 1×
Citations per year

Countries citing papers authored by Ming‐Yi Shen

Since Specialization
Citations

This map shows the geographic impact of Ming‐Yi 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 Ming‐Yi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Yi Shen more than expected).

Fields of papers citing papers by Ming‐Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yi 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 Ming‐Yi Shen. The network helps show where Ming‐Yi Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Yi 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 Ming‐Yi Shen Line = papers co-authored together Ming‐Yi Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003210
2 2004124
3 2007123
4 200473
5 201572
6 201369
7 200357
8 200257
9 201556
10 200549
11 201048
12 200545
13 200842
14 200537
15 200432
16 201732
17 201531
18 202131
19 201931
20 200630

About Ming‐Yi Shen

Ming‐Yi Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Hematology and Biochemistry, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (13 papers), Antioxidant Activity and Oxidative Stress (7 papers), Platelet Disorders and Treatments (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Cholesterol and Lipid Metabolism (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers). The work is most often cited by research in Biochemistry (206 citations), Geriatrics and Gerontology (75 citations), Clinical Biochemistry (94 citations), Pharmacology (218 citations) and Pharmacology (110 citations). Ming‐Yi Shen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Joen‐Rong Sheu, George Hsiao, Duen‐Suey Chou, Chien‐Huang Lin, Kuan‐Hung Lin, Joen R. Sheu, George Hsiao, Tzeng‐Fu Chen, Ching-Hua Su and Duen S. Chou. Their work appears in journals such as Journal of Biomedical Science, PLoS ONE, International Journal of Molecular Sciences, Journal of Agricultural and Food Chemistry and Biochemical Pharmacology.

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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