Jun Cheng
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiovascular Health and Risk Factors
- Acute Myocardial Infarction Research
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- Traditional Chinese Medicine Analysis
Papers in
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- Single-cell and spatial transcriptomics 4
- Ion channel regulation and function 3
- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Pengyun Li (18 shared papers)Yan Yang (17 shared papers)Jing Liu (2 shared papers)Dong Zhao (2 shared papers)Pamela G. Coxson (1 shared paper)Yuming Shen (1 shared paper)Kirsten Bibbins‐Domingo (1 shared paper)Y. Claire Wang (1 shared paper)
- Journals
- Hypertension (3 papers)European Journal of Pharmacology (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)The Journals of Gerontology Series A (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited KingdomSaint Kitts and Nevis
In The Last Decade
Jun Cheng
34 papers receiving 834 citations
Peers
Comparison fields: 5 of 109
- Cardiology and Cardiovascular Medicine 290
- Complementary and alternative medicine 77
- Endocrinology, Diabetes and Metabolism 94
- Molecular Biology 284
- Cancer Research 62
Countries citing papers authored by Jun Cheng
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
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.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 326 | |
| 2 | 2012 | 77 | |
| 3 | 2011 | 53 | |
| 4 | 2020 | 35 | |
| 5 | 2009 | 34 | |
| 6 | 2017 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2018 | 24 | |
| 9 | 2013 | 22 | |
| 10 | 2011 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2023 | 16 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 1991 | 16 | |
| 16 | 2013 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2004 | 13 | |
| 20 | 2023 | 12 |
About Jun Cheng
Jun Cheng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 855 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Single-cell and spatial transcriptomics (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Hormonal Regulation and Hypertension (3 papers), Ion channel regulation and function (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (290 citations), Complementary and alternative medicine (77 citations), Endocrinology, Diabetes and Metabolism (94 citations), Molecular Biology (284 citations) and Cancer Research (62 citations). Jun Cheng has collaborated with scholars based in China, United Kingdom and Saint Kitts and Nevis. Frequent co-authors include Pengyun Li, Yan Yang, Jing Liu, Dong Zhao, Pamela G. Coxson, Yuming Shen, Kirsten Bibbins‐Domingo, Y. Claire Wang, Dongfeng Gu and Lee Goldman. 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.