Wei Jin
Impact in
Papers in
- Software 14
- Software Testing and Debugging Techniques 14
- Software Reliability and Analysis Research 7
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Alessandro Orso (12 shared papers)Rebecca M. Riley (2 shared papers)Greg C. Gibson (2 shared papers)Kun Cheng (12 shared papers)Russ D. Wolfinger (1 shared paper)Kevin P. White (1 shared paper)Ashutosh J. Barve (7 shared papers)Qinxue Hu (10 shared papers)
- Journals
- Virology (3 papers)Molecular Pharmaceutics (3 papers)The Journal of Immunology (3 papers)Nanomedicine Nanotechnology Biology and Medicine (2 papers)Journal of General Virology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Jin
74 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 139
- Software 373
- Virology 151
- Cancer Research 332
- Molecular Biology 1.3k
- Aging 32
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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 535 | |
| 2 | 2015 | 184 | |
| 3 | 2019 | 116 | |
| 4 | 2012 | 115 | |
| 5 | 2012 | 104 | |
| 6 | 2014 | 98 | |
| 7 | 2016 | 72 | |
| 8 | 2010 | 72 | |
| 9 | 2017 | 68 | |
| 10 | 2012 | 61 | |
| 11 | 2013 | 59 | |
| 12 | 2018 | 57 | |
| 13 | 2015 | 55 | |
| 14 | 2012 | 52 | |
| 15 | 2003 | 49 | |
| 16 | 2016 | 48 | |
| 17 | 2011 | 48 | |
| 18 | 2011 | 46 | |
| 19 | 2017 | 45 | |
| 20 | 2016 | 45 |
About Wei Jin
Wei Jin is a scholar working on Software, Cancer Research, Virology, Information Systems and Molecular Biology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (14 papers), Software Engineering Research (12 papers), RNA Interference and Gene Delivery (8 papers), MicroRNA in disease regulation (8 papers), HIV Research and Treatment (7 papers), Software Reliability and Analysis Research (7 papers), Cancer-related molecular mechanisms research (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Software (373 citations), Virology (151 citations), Cancer Research (332 citations), Molecular Biology (1.3k citations) and Aging (32 citations). Wei Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Alessandro Orso, Rebecca M. Riley, Greg C. Gibson, Kun Cheng, Russ D. Wolfinger, Kevin P. White, Ashutosh J. Barve, Qinxue Hu, Zhen Zhao and Akshay Jain. Their work appears in journals such as Virology, Molecular Pharmaceutics, The Journal of Immunology, Nanomedicine Nanotechnology Biology and Medicine and Journal of General Virology.
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.