Jun Jin
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
-
- High Altitude and Hypoxia
- Mesenchymal stem cell research
Papers in
-
- Cardiac Valve Diseases and Treatments 5
- Heart Rate Variability and Autonomic Control 3
- Genetics 13
- High Altitude and Hypoxia 13
- Co-authors
- Lan Huang (15 shared papers)Jihang Zhang (12 shared papers)Shiyong Yu (13 shared papers)Jun Qin (9 shared papers)Jianfei Chen (7 shared papers)Yaoming Song (7 shared papers)Shizhu Bian (12 shared papers)Bin Cui (3 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal of Cardiology (2 papers)BioMed Research International (2 papers)European Journal of Heart Failure (2 papers)Frontiers in Cardiovascular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Jin
45 papers receiving 453 citations
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 54
- Genetics 146
- Genetics 36
- Cardiology and Cardiovascular Medicine 65
- Cancer Research 37
Countries citing papers authored by Jun Jin
This map shows the geographic impact of Jun Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
Fields of papers citing papers by Jun Jin
This network shows the impact of papers produced by Jun Jin. 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 Jin. The network helps show where Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jin, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 55 | |
| 2 | 2012 | 33 | |
| 3 | 2015 | 27 | |
| 4 | 2014 | 23 | |
| 5 | 2008 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2008 | 18 | |
| 9 | 2015 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2014 | 8 |
About Jun Jin
Jun Jin is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 50 papers that have together received 456 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (13 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiac Imaging and Diagnostics (3 papers), Aortic Disease and Treatment Approaches (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Neuroscience of respiration and sleep (3 papers), Ultrasound and Hyperthermia Applications (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Genetics (146 citations), Genetics (36 citations), Cardiology and Cardiovascular Medicine (65 citations) and Cancer Research (37 citations). Jun Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lan Huang, Jihang Zhang, Shiyong Yu, Jun Qin, Jianfei Chen, Yaoming Song, Shizhu Bian, Bin Cui, Xiaojing Wu and Xiaohui Zhao. Their work appears in journals such as PLoS ONE, International Journal of Cardiology, BioMed Research International, European Journal of Heart Failure and Frontiers in Cardiovascular Medicine.
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.