Jun Cheng

1.1k citations
35 papers · 865 · h-index 15

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Angiogenesis and VEGF in Cancer 3
    • Ion channel regulation and function 3
    • Coronary Interventions and Diagnostics 2

Jun Cheng

35 papers receiving 845 citations

Peers

Jun Cheng
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 213
  • Complementary and alternative medicine 72
  • Endocrinology, Diabetes and Metabolism 65
  • Molecular Biology 266
  • Sensory Systems 15
Replace Ján Klimas with:
Ján Klimas Slovakia
Xiao Han China
Katherine L. Tucker United Kingdom
Takahiro Tanaka Japan
Ruxiu Liu China
Leena P. Bharath United States
Gabriella Ricci Italy
Amarjit S. Arneja Canada
Yuka Kohda Japan
Ren Luo China
Jun Cheng relative to Ján Klimas Slovakia Ján Klimas's profile →
Citations per field
00.5×2.8×
Ján Klimas · 1×
Citations per year

Countries citing papers authored by Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010330
2 201279
3 201153
4 202039
5 200934
6 201728
7 202128
8 201824
9 201322
10 201121
11 201821
12 202319
13 201916
14 201316
15 201816
16 201814
17 201913
18 200413
19 202312
20 201711

About Jun Cheng

Jun Cheng is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 35 papers that have together received 865 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Single-cell and spatial transcriptomics (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Ion channel regulation and function (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Coronary Interventions and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (213 citations), Complementary and alternative medicine (72 citations), Endocrinology, Diabetes and Metabolism (65 citations), Molecular Biology (266 citations) and Sensory Systems (15 citations). Jun Cheng has collaborated with scholars based in China, Saint Kitts and Nevis and United Kingdom. Frequent co-authors include Pengyun Li, Yan Yang, Dong Zhao, Jing Liu, Dongfeng Gu, Lee Goldman, Jiang He, Pamela G. Coxson, Chung-Shiuan Chen and Kirsten Bibbins‐Domingo. Their work appears in journals such as Hypertension, European Journal of Pharmacology, Journal of Molecular and Cellular Cardiology, The Journals of Gerontology Series A and Frontiers in Pharmacology.

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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