Jin Wang
Impact in
- Aging top 2%
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
Papers in
-
- Protein Degradation and Inhibitors 19
- Ubiquitin and proteasome pathways 16
- RNA Interference and Gene Delivery 16
-
- Ferroptosis and cancer prognosis 12
- Co-authors
- Mary E. Napier (6 shared papers)Joseph M. DeSimone (5 shared papers)Matthew S. Platz (24 shared papers)James D. Byrne (1 shared paper)Meng C. Wang (18 shared papers)Gotard Burdziński (13 shared papers)Jianwei Chen (16 shared papers)Jacek Kubicki (12 shared papers)
- Journals
- Journal of the American Chemical Society (22 papers)Nature Communications (8 papers)Oncotarget (5 papers)The Journal of Physical Chemistry A (5 papers)Blood (5 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Jin Wang
404 papers receiving 11.3k citations
Jin Wang's Hit Papers
Peers
Comparison fields: 5 of 188
- Aging 133
- Biochemistry 522
- Biological Psychiatry 147
- Molecular Biology 4.3k
- Biomaterials 837
Countries citing papers authored by Jin Wang
This map shows the geographic impact of Jin Wang'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 Jin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wang more than expected).
Fields of papers citing papers by Jin Wang
This network shows the impact of papers produced by Jin Wang. 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 Jin Wang. The network helps show where Jin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Wang, 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 429 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 414 | |
| 2 | 2010 | 298 | |
| 3 | 2017 | 278 | |
| 4 | 2017 | 238 | |
| 5 | 2018 | 211 | |
| 6 | 2020 | 190 | |
| 7 | An analysis of factors affecting the severity of marine accidents Hit paper breakdown → | 2021 | 190 |
| 8 | 2019 | 185 | |
| 9 | 2006 | 174 | |
| 10 | 2014 | 167 | |
| 11 | 2020 | 165 | |
| 12 | 2020 | 163 | |
| 13 | 2014 | 160 | |
| 14 | 2014 | 152 | |
| 15 | 2012 | 149 | |
| 16 | 2006 | 147 | |
| 17 | 2021 | 139 | |
| 18 | 2020 | 132 | |
| 19 | 2017 | 125 | |
| 20 | 2006 | 117 |
About Jin Wang
Jin Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Immunology, having authored 429 papers that have together received 11.4k indexed citations. Recurring topics across this work include Chemical Reactions and Mechanisms (23 papers), Protein Degradation and Inhibitors (19 papers), Photochemistry and Electron Transfer Studies (17 papers), Ubiquitin and proteasome pathways (16 papers), RNA Interference and Gene Delivery (16 papers), Ferroptosis and cancer prognosis (12 papers), CAR-T cell therapy research (11 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Aging (133 citations), Biochemistry (522 citations), Biological Psychiatry (147 citations), Molecular Biology (4.3k citations) and Biomaterials (837 citations). Jin Wang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Mary E. Napier, Joseph M. DeSimone, Matthew S. Platz, James D. Byrne, Meng C. Wang, Gotard Burdziński, Jianwei Chen, Jacek Kubicki, Shaomin Tian and Xiqian Jiang. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Oncotarget, The Journal of Physical Chemistry A and Blood.
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.