Jin Cheng

1.4k citations
25 papers · 990 · h-index 11

Impact in

Papers in

Jin Cheng

24 papers receiving 955 citations

Peers

Jin Cheng
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 479
  • Emergency Medicine 117
  • Surgery 278
  • Biomedical Engineering 292
  • Epidemiology 141
Replace Takafumi Masai with:
Takafumi Masai Japan
Ryan J. Butts United States
Gil Bolotin Israel
Olivier Jegaden France
Minoo N. Kavarana United States
David Pigott United Kingdom
Konstantinos Karatolios Germany
Michael Huebler Germany
Omer Dzemali Switzerland
Paul A. Spence United States
Jin Cheng relative to Takafumi Masai Japan Takafumi Masai's profile →
Citations per field
00.5×1.5×
Takafumi Masai · 1×
Citations per year

Countries citing papers authored by Jin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Cheng. 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 Jin Cheng. The network helps show where Jin Cheng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009334
2 2010137
3 2011131
4 2010111
5 201952
6 200947
7 201433
8 201729
9 201022
10 201815
11 199611
12 202310
13
Infective endocarditis in a tertiary referral hospital: long-term follow up.
201210
14 20038
15 20118
16 20118
17 20117
18 20134
19
Coronary Artery Disease: from Atherosclerosis to Cardiogenic Shock
20154
20 20244

About Jin Cheng

Jin Cheng is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 990 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (3 papers), Acute Myocardial Infarction Research (3 papers), Coronary Interventions and Diagnostics (2 papers), Additive Manufacturing Materials and Processes (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiac Arrest and Resuscitation (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (479 citations), Emergency Medicine (117 citations), Surgery (278 citations), Biomedical Engineering (292 citations) and Epidemiology (141 citations). Jin Cheng has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Patrick W. Serruys, Ron T. van Domburg, Corstiaan A. den Uil, Martin van der Ent, Sanne E. Hoeks, Nicolò Piazza, Apostolos Tzikas, Nicolas M. Van Mieghem, Rutger Nuis and Yoshinobu Onuma. Their work appears in journals such as European Heart Journal, EuroIntervention, Thrombosis and Haemostasis, Journal of the American College of Cardiology and Biomarkers.

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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