Jin Cheng

26 papers receiving 933 citations

Peers

Jin Cheng
Comparison fields: 5 of 91
  • Cardiology and Cardiovascular Medicine 601
  • Emergency Medicine 168
  • Surgery 397
  • Epidemiology 268
  • Biomedical Engineering 289
Replace Takafumi Masai with:
Takafumi Masai Japan
Gil Bolotin Israel
Eiki Tayama Japan
Kwan Lee United States
Michael Huebler Germany
Hirokuni Arai Japan
Omer Dzemali Switzerland
Thomas Puehler Germany
Olivier Jegaden France
Carlo Banfı France
Jin Cheng relative to Takafumi Masai Japan Takafumi Masai's profile →
Citations per field
00.5×2.6×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009308
2 2010134
3 2011128
4 2010109
5 201950
6 200947
7 201432
8 201729
9 201022
10 201815
11 199611
12
Infective endocarditis in a tertiary referral hospital: long-term follow up.
201210
13 20118
14 20238
15 20118
16 20037
17 20117
18 20246
19
Coronary Artery Disease: from Atherosclerosis to Cardiogenic Shock
20154
20 20134

About Jin Cheng

Jin Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Internal Medicine, Developmental Neuroscience and Surgery, having authored 27 papers that have together received 956 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (4 papers), Coronary Interventions and Diagnostics (4 papers), Mechanical Circulatory Support Devices (4 papers), Cardiac Arrest and Resuscitation (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Additive Manufacturing Materials and Processes (2 papers) and Aluminum Alloys Composites Properties (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (601 citations), Emergency Medicine (168 citations), Surgery (397 citations), Epidemiology (268 citations) and Biomedical Engineering (289 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, Martin van der Ent, Corstiaan A. den Uil, Sanne E. Hoeks, Nicolò Piazza, Apostolos Tzikas, Nicolas M. Van Mieghem, Rutger Nuis and Eric Boersma. Their work appears in journals such as European Heart Journal, Journal of Cardiovascular Pharmacology and Therapeutics, EuroIntervention, Biomarkers and Journal of the American College of Cardiology.

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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