Jun Cai
Impact in
- Biological Psychiatry top 2%
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Gut microbiota and health 15
- Circular RNAs in diseases 8
-
- Blood Pressure and Hypertension Studies 33
- Cardiovascular Health and Risk Factors 8
- Co-authors
- Bin Geng (19 shared papers)Shouling Wu (21 shared papers)Xinchun Yang (13 shared papers)Qinghua Cui (9 shared papers)Weili Zhang (10 shared papers)Jing Li (9 shared papers)Xiaoyan Liu (7 shared papers)Lei Yang (4 shared papers)
- Journals
- Hypertension (10 papers)PLoS ONE (9 papers)Journal of Cellular and Molecular Medicine (5 papers)European Journal of Preventive Cardiology (5 papers)Hypertension Research (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Cai
172 papers receiving 5.7k citations
Jun Cai's Hit Papers
Peers
Comparison fields: 5 of 145
- Biological Psychiatry 146
- Cancer Research 781
- Cardiology and Cardiovascular Medicine 890
- Molecular Biology 2.8k
- Physiology 978
Countries citing papers authored by Jun Cai
This map shows the geographic impact of Jun Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).
Fields of papers citing papers by Jun Cai
This network shows the impact of papers produced by Jun Cai. 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 Cai. The network helps show where Jun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cai, 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut microbiota dysbiosis contributes to the development of hypertension Hit paper breakdown → | 2017 | 1264 |
| 2 | Prevalence of Ideal Cardiovascular Health and Its Relationship With the 4-Year Cardiovascular Events in a Northern Chinese Industrial City Hit paper breakdown → | 2012 | 348 |
| 3 | 2011 | 282 | |
| 4 | 2018 | 282 | |
| 5 | 2019 | 171 | |
| 6 | 2018 | 123 | |
| 7 | 2020 | 108 | |
| 8 | 2019 | 95 | |
| 9 | 2008 | 87 | |
| 10 | 2017 | 84 | |
| 11 | 2008 | 75 | |
| 12 | 2016 | 74 | |
| 13 | 2017 | 69 | |
| 14 | 2008 | 68 | |
| 15 | 2023 | 68 | |
| 16 | 2022 | 66 | |
| 17 | 2008 | 58 | |
| 18 | 2020 | 55 | |
| 19 | 2014 | 55 | |
| 20 | 2022 | 54 |
About Jun Cai
Jun Cai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Endocrinology, Diabetes and Metabolism, having authored 182 papers that have together received 5.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (33 papers), Gut microbiota and health (15 papers), Hormonal Regulation and Hypertension (14 papers), MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (9 papers), Gastric Cancer Management and Outcomes (8 papers), Cardiovascular Health and Risk Factors (8 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Biological Psychiatry (146 citations), Cancer Research (781 citations), Cardiology and Cardiovascular Medicine (890 citations), Molecular Biology (2.8k citations) and Physiology (978 citations). Jun Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bin Geng, Shouling Wu, Xinchun Yang, Qinghua Cui, Weili Zhang, Jing Li, Xiaoyan Liu, Lei Yang, Ling Jin and Ryan Weldon. Their work appears in journals such as Hypertension, PLoS ONE, Journal of Cellular and Molecular Medicine, European Journal of Preventive Cardiology and Hypertension Research.
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.