Ye Kong

1.3k citations
29 papers · 366 · h-index 11

Impact in

Papers in

Ye Kong

28 papers receiving 354 citations

Peers

Ye Kong
Comparison fields: 5 of 50
  • Cardiology and Cardiovascular Medicine 131
  • Internal Medicine 11
  • Cancer Research 47
  • Genetics 21
  • Surgery 79
Replace Kun Xia with:
Kun Xia China
Sina Jamé United States
Allard Wagenaar Netherlands
Mehrdad Rezaee United States
Motoo Osaka Japan
Song Gu China
Valentina Galuppo Spain
Miloje Tomašević Serbia
Yu Arita Japan
Noémi Pávó Austria
Ye Kong relative to Kun Xia China Kun Xia's profile →
Citations per field
00.5×2.6×
Kun Xia · 1×
Citations per year

Countries citing papers authored by Ye Kong

Since Specialization
Citations

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

Fields of papers citing papers by Ye Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201448
3 201646
4 201823
5 198319
6 201919
7 201718
8 201317
9
Sudden death due to coronary artery disease. A clinical, hemodynamic, and angiographic profile.
197516
10 201810
11 202010
12 201910
13 20019
14 20249
15 20207
16 20226
17 20136
18 20186
19 20195
20
[Significance of COX-2, p53, proliferating cell nuclear antigen and nm23 expressions in gastric cancer and its behavior].
20025

About Ye Kong

Ye Kong is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 29 papers that have together received 366 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Aortic Disease and Treatment Approaches (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Coronary Interventions and Diagnostics (2 papers), Cancer-related gene regulation (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (131 citations), Internal Medicine (11 citations), Cancer Research (47 citations), Genetics (21 citations) and Surgery (79 citations). Ye Kong has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Dan Zhu, Zhifang Liu, Jihui Jia, Wenrui Ma, Wei Zhang, Xia Xu, Wei Shi, Fenghua Yang, Jing Zhang and Busheng Zhang. Their work appears in journals such as The Annals of Thoracic Surgery, Aging, Cancer Letters, Biochemical and Biophysical Research Communications 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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