Jun Cai
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
-
- Vasculitis and related conditions
- Renal and Vascular Pathologies
Papers in
-
- Vasculitis and related conditions 15
- Renal and Vascular Pathologies 6
- Coronary Artery Anomalies 4
-
- Blood Pressure and Hypertension Studies 8
- Cardiovascular Health and Disease Prevention 3
- Co-authors
- Huimin Zhang (18 shared papers)Xianliang Zhou (12 shared papers)Dan Qi (1 shared paper)Lei Song (10 shared papers)Peng Fan (9 shared papers)Shouling Wu (5 shared papers)Haiying Wu (6 shared papers)Deyu Zheng (5 shared papers)
- Journals
- The American Journal of the Medical Sciences (4 papers)International Journal of Cardiology (3 papers)Circulation Journal (1 paper)Journal of Hypertension (1 paper)The Heart Surgery Forum (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Cai
38 papers receiving 354 citations
Peers
Comparison fields: 5 of 72
- Nephrology 63
- Pulmonary and Respiratory Medicine 174
- Cardiology and Cardiovascular Medicine 96
- Health Informatics 5
- Endocrinology, Diabetes and Metabolism 41
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2016 | 34 | |
| 3 | 2012 | 33 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2019 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 6 |
About Jun Cai
Jun Cai is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 43 papers that have together received 356 indexed citations. Recurring topics across this work include Vasculitis and related conditions (15 papers), Hormonal Regulation and Hypertension (9 papers), Blood Pressure and Hypertension Studies (8 papers), Renal and Vascular Pathologies (6 papers), Coronary Artery Anomalies (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Cardiovascular Health and Disease Prevention (3 papers) and Adrenal Hormones and Disorders (3 papers). The work is most often cited by research in Nephrology (63 citations), Pulmonary and Respiratory Medicine (174 citations), Cardiology and Cardiovascular Medicine (96 citations), Health Informatics (5 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Jun Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huimin Zhang, Xianliang Zhou, Dan Qi, Lei Song, Peng Fan, Shouling Wu, Haiying Wu, Deyu Zheng, Lirui Yang and Kun‐Qi Yang. Their work appears in journals such as The American Journal of the Medical Sciences, International Journal of Cardiology, Circulation Journal, Journal of Hypertension and The Heart Surgery Forum.
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.