Wei Jin
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 6
- Cell death mechanisms and regulation 6
- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 5
- Oncology 23
- Co-authors
- Chuancheng Ren (11 shared papers)Wei Xu (9 shared papers)Xiaoxiao Zhang (5 shared papers)Jiong Wu (7 shared papers)Gen‐Hong Di (6 shared papers)Jing Chen (1 shared paper)Xiaonan Liu (1 shared paper)Dayan B. Goodenowe (5 shared papers)
- Journals
- Journal of Molecular Histology (6 papers)Journal of Molecular Neuroscience (4 papers)Scientific Reports (2 papers)Biomedicine & Pharmacotherapy (2 papers)Cellular and Molecular Neurobiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Jin
96 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 133
- Rehabilitation 238
- Cancer Research 308
- Molecular Biology 998
- Oncology 366
- Neurology 85
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 154 | |
| 2 | 2007 | 153 | |
| 3 | 2016 | 111 | |
| 4 | 2006 | 95 | |
| 5 | 2009 | 79 | |
| 6 | 2015 | 68 | |
| 7 | 2013 | 64 | |
| 8 | 2019 | 61 | |
| 9 | 2010 | 60 | |
| 10 | 2015 | 53 | |
| 11 | 2011 | 53 | |
| 12 | 2007 | 46 | |
| 13 | 2008 | 46 | |
| 14 | 2015 | 44 | |
| 15 | 2007 | 38 | |
| 16 | 2018 | 36 | |
| 17 | 2020 | 35 | |
| 18 | 2015 | 34 | |
| 19 | 2016 | 34 | |
| 20 | 2007 | 34 |
About Wei Jin
Wei Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cell death mechanisms and regulation (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Thyroid Disorders and Treatments (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Rehabilitation (238 citations), Cancer Research (308 citations), Molecular Biology (998 citations), Oncology (366 citations) and Neurology (85 citations). Wei Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuancheng Ren, Wei Xu, Xiaoxiao Zhang, Jiong Wu, Gen‐Hong Di, Jing Chen, Xiaonan Liu, Dayan B. Goodenowe, Zhi-Ming Shao and Lu Gan. Their work appears in journals such as Journal of Molecular Histology, Journal of Molecular Neuroscience, Scientific Reports, Biomedicine & Pharmacotherapy and Cellular and Molecular Neurobiology.
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.