Wei Jin
Impact in
-
- Cardiovascular Function and Risk Factors
- Cardiac Fibrosis and Remodeling
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cardiovascular Function and Risk Factors 6
- Cardiac Fibrosis and Remodeling 5
- Cardiomyopathy and Myosin Studies 4
- Co-authors
- Zhijun Wu (16 shared papers)Lin Lu (16 shared papers)Yanjia Chen (21 shared papers)Wenquan Niu (4 shared papers)Wenbo Yang (9 shared papers)Yan Liu (6 shared papers)Yuqing Lou (7 shared papers)Ke Yang (9 shared papers)
- Journals
- PLoS ONE (5 papers)Frontiers in Public Health (4 papers)Frontiers in Endocrinology (3 papers)Scientific Reports (2 papers)BMJ Open (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Jin
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Cardiology and Cardiovascular Medicine 222
- Cancer Research 149
- Nephrology 65
- Reproductive Medicine 50
- Molecular Biology 388
Countries citing papers authored by Wei Jin
This map shows the geographic impact of Wei 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 Wei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Jin more than expected).
Fields of papers citing papers by Wei Jin
This network shows the impact of papers produced by Wei 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 Wei Jin. The network helps show where Wei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 114 | |
| 2 | 2018 | 82 | |
| 3 | 2018 | 66 | |
| 4 | 2004 | 59 | |
| 5 | 2016 | 49 | |
| 6 | 2008 | 47 | |
| 7 | 2012 | 42 | |
| 8 | 2012 | 38 | |
| 9 | 2018 | 37 | |
| 10 | 2016 | 33 | |
| 11 | 2014 | 33 | |
| 12 | 2014 | 33 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 30 | |
| 15 | 2021 | 30 | |
| 16 | 2012 | 30 | |
| 17 | 2015 | 30 | |
| 18 | 2012 | 30 | |
| 19 | 2012 | 27 | |
| 20 | 2016 | 25 |
About Wei Jin
Wei Jin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Nephrology, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Fibrosis and Remodeling (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Sepsis Diagnosis and Treatment (5 papers), Ovarian function and disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Acute Kidney Injury Research (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (222 citations), Cancer Research (149 citations), Nephrology (65 citations), Reproductive Medicine (50 citations) and Molecular Biology (388 citations). Wei Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhijun Wu, Lin Lu, Yanjia Chen, Wenquan Niu, Wenbo Yang, Yan Liu, Yuqing Lou, Ke Yang, Qiujing Chen and Lingyu Sun. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, Frontiers in Endocrinology, Scientific Reports and BMJ Open.
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.