Jun Cai
Impact in
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- Vasculitis and related conditions
- Renal and Vascular Pathologies
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
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- Vasculitis and related conditions 14
- Renal and Vascular Pathologies 3
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- Blood Pressure and Hypertension Studies 5
- Cardiovascular Health and Disease Prevention 2
- Co-authors
- Huimin Zhang (17 shared papers)Xianliang Zhou (12 shared papers)Dan Qi (1 shared paper)Lei Song (9 shared papers)Peng Fan (9 shared papers)Haiying Wu (6 shared papers)Wenjun Ma (7 shared papers)Shouling Wu (5 shared papers)
- Journals
- The American Journal of the Medical Sciences (4 papers)International Journal of Cardiology (3 papers)Clinical Rheumatology (1 paper)Arthritis Care & Research (1 paper)Arthritis Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Cai
36 papers receiving 371 citations
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 178
- Nephrology 40
- Health Informatics 4
- Cardiology and Cardiovascular Medicine 55
- Pathology and Forensic Medicine 38
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 39 | |
| 2 | 2016 | 34 | |
| 3 | 2012 | 33 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2018 | 24 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2020 | 7 | |
| 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 Molecular Biology, having authored 40 papers that have together received 373 indexed citations. Recurring topics across this work include Vasculitis and related conditions (14 papers), Hormonal Regulation and Hypertension (7 papers), Blood Pressure and Hypertension Studies (5 papers), Renal and Vascular Pathologies (3 papers), Adrenal Hormones and Disorders (3 papers), Ion Transport and Channel Regulation (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (178 citations), Nephrology (40 citations), Health Informatics (4 citations), Cardiology and Cardiovascular Medicine (55 citations) and Pathology and Forensic Medicine (38 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, Haiying Wu, Wenjun Ma, Haiying Wu, Shouling Wu and Deyu Zheng. Their work appears in journals such as The American Journal of the Medical Sciences, International Journal of Cardiology, Clinical Rheumatology, Arthritis Care & Research and Arthritis Research & Therapy.
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.