Wei Jin
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Cell death mechanisms and regulation 6
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
- Oncology 16
- Co-authors
- Chuancheng Ren (11 shared papers)Wei Xu (9 shared papers)Xiaoxiao Zhang (5 shared papers)Jiong Wu (6 shared papers)Xiaonan Liu (1 shared paper)Gen‐Hong Di (5 shared papers)Jing Chen (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)Acta Biochimica et Biophysica Sinica (2 papers)Cellular and Molecular Neurobiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Jin
91 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 126
- Rehabilitation 188
- Cancer Research 233
- Molecular Biology 846
- Oncology 271
- Neurology 66
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 160 | |
| 2 | 2007 | 155 | |
| 3 | 2016 | 115 | |
| 4 | 2006 | 95 | |
| 5 | 2009 | 80 | |
| 6 | 2015 | 68 | |
| 7 | 2013 | 65 | |
| 8 | 2019 | 63 | |
| 9 | 2015 | 54 | |
| 10 | 2011 | 53 | |
| 11 | 2008 | 47 | |
| 12 | 2007 | 47 | |
| 13 | 2015 | 44 | |
| 14 | 2018 | 40 | |
| 15 | 2007 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2016 | 35 | |
| 18 | 2007 | 34 | |
| 19 | 2015 | 34 | |
| 20 | 2012 | 33 |
About Wei Jin
Wei Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), RNA modifications and cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Ubiquitin and proteasome pathways (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Thyroid Disorders and Treatments (4 papers), Phytochemistry and biological activity of medicinal plants (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Rehabilitation (188 citations), Cancer Research (233 citations), Molecular Biology (846 citations), Oncology (271 citations) and Neurology (66 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, Xiaonan Liu, Gen‐Hong Di, Jing Chen, Dayan B. Goodenowe, Zhi-Ming Shao and Zhongjie Zhou. Their work appears in journals such as Journal of Molecular Histology, Journal of Molecular Neuroscience, Scientific Reports, Acta Biochimica et Biophysica Sinica 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.