I‐Ming Chen

2.0k citations
55 papers · 1.6k · h-index 18

Impact in

Papers in

I‐Ming Chen

54 papers receiving 1.5k citations

Peers

I‐Ming Chen
Comparison fields: 5 of 57
  • Hematology 467
  • Pulmonary and Respiratory Medicine 556
  • Cardiology and Cardiovascular Medicine 169
  • Molecular Biology 554
  • Genetics 74
Replace Yasunori Toyoda with:
Yasunori Toyoda Japan
Toon Min United Kingdom
Maria J. A. G. Hamers Norway
José R. Valbuena United States
P. H. M. Kuijper Netherlands
Kimberly L. Gandy United States
Rizwan Naeem United States
Anna Mestice Italy
Jennifer Willert United States
Pascale Lepelley France
I‐Ming Chen relative to Yasunori Toyoda Japan Yasunori Toyoda's profile →
Citations per field
00.5×7.6×
Yasunori Toyoda · 1×
Citations per year

Countries citing papers authored by I‐Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996413
2 2006209
3 2002151
4 201286
5 201282
6 201263
7 201445
8 200545
9 201937
10 199031
11 201728
12 202025
13 201624
14 201721
15 202020
16 201820
17 201519
18 201317
19 200314
20 200713

About I‐Ming Chen

I‐Ming Chen is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Hematology, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (20 papers), Cardiac Valve Diseases and Treatments (10 papers), Aortic aneurysm repair treatments (9 papers), Peripheral Artery Disease Management (5 papers), Acute Myeloid Leukemia Research (3 papers), Vascular Procedures and Complications (2 papers), Infectious Aortic and Vascular Conditions (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Hematology (467 citations), Pulmonary and Respiratory Medicine (556 citations), Cardiology and Cardiovascular Medicine (169 citations), Molecular Biology (554 citations) and Genetics (74 citations). I‐Ming Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheryl L. Willman, Chiao‐Po Hsu, Po‐Lin Chen, Chun-Che Shih, Chun-Che Shih, Weiyuan Chen, Neal G. Copeland, Keisuke Toyama, Takuro Nakamura and Andrew P. Feinberg. Their work appears in journals such as Journal of Vascular Surgery, Journal of Thoracic and Cardiovascular Surgery, Circulation Journal, Annals of Vascular Surgery and Interactive Cardiovascular and Thoracic Surgery.

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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