I‐Ming Chen

2.0k citations
55 papers · 1.5k · h-index 18

Impact in

Papers in

I‐Ming Chen

53 papers receiving 1.5k citations

Peers

I‐Ming Chen
Comparison fields: 5 of 65
  • Hematology 468
  • Pulmonary and Respiratory Medicine 618
  • Cardiology and Cardiovascular Medicine 348
  • Molecular Biology 570
  • Surgery 351
Replace Lea Ziporen with:
Lea Ziporen Israel
Yasunori Toyoda Japan
Silvia Mas‐Peiró Germany
K H Antman United States
Toon Min United Kingdom
Francesco Spina Italy
Daiki Nakagomi Japan
José Ordi-Ros Spain
John G. Krikorian United States
J Sánchez-Román Spain
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Citations per field
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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 1996398
2 2006203
3 2002148
4 201285
5 201279
6 201260
7 200544
8 201443
9 201933
10 199027
11 201726
12 202024
13 201623
14 201519
15 201719
16 201819
17 202019
18 201317
19 200713
20 200312

About I‐Ming Chen

I‐Ming Chen is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Molecular Biology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (28 papers), Aortic aneurysm repair treatments (25 papers), Cardiac Valve Diseases and Treatments (17 papers), Vascular Procedures and Complications (11 papers), Infectious Aortic and Vascular Conditions (11 papers), Infective Endocarditis Diagnosis and Management (7 papers), Peripheral Artery Disease Management (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Hematology (468 citations), Pulmonary and Respiratory Medicine (618 citations), Cardiology and Cardiovascular Medicine (348 citations), Molecular Biology (570 citations) and Surgery (351 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, Chun-Che Shih, Po‐Lin Chen, Chun-Che Shih, Weiyuan Chen, Kazuma Ohyashiki, Andrew P. Feinberg, David A. Largaespada and Takuro Nakamura. Their work appears in journals such as Journal of Vascular Surgery, Journal of Thoracic and Cardiovascular Surgery, Annals of Vascular Surgery, Interactive Cardiovascular and Thoracic Surgery and Circulation Journal.

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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