Shenshen Wang
Impact in
- Virology top 10%
- HIV Research and Treatment
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- T-cell and B-cell Immunology 6
-
- vaccines and immunoinformatics approaches 3
- Co-authors
- Peter G. Wolynes (2 shared papers)Ching-Kit Chan (1 shared paper)Tony E. Lee (1 shared paper)Barry Kriegsman (1 shared paper)Dennis R. Burton (1 shared paper)Herman N. Eisen (1 shared paper)Mehran Kardar (1 shared paper)K. Dane Wittrup (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)iScience (2 papers)International Journal of Heat and Mass Transfer (2 papers)Physical Review X (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shenshen Wang
29 papers receiving 617 citations
Peers
Comparison fields: 5 of 79
- Virology 67
- Immunology 132
- Condensed Matter Physics 62
- Atomic and Molecular Physics, and Optics 156
- Cell Biology 78
Countries citing papers authored by Shenshen Wang
This map shows the geographic impact of Shenshen 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 Shenshen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenshen Wang more than expected).
Fields of papers citing papers by Shenshen Wang
This network shows the impact of papers produced by Shenshen 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 Shenshen Wang. The network helps show where Shenshen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shenshen 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 131 | |
| 2 | 2014 | 128 | |
| 3 | 2012 | 67 | |
| 4 | 2011 | 44 | |
| 5 | 2023 | 43 | |
| 6 | 2017 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 20 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2008 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2020 | 4 |
About Shenshen Wang
Shenshen Wang is a scholar working on Immunology, Molecular Biology, Genetics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 619 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Evolution and Genetic Dynamics (6 papers), Heat Transfer and Optimization (4 papers), Heat Transfer and Boiling Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HIV Research and Treatment (3 papers), vaccines and immunoinformatics approaches (3 papers) and Heat Transfer Mechanisms (2 papers). The work is most often cited by research in Virology (67 citations), Immunology (132 citations), Condensed Matter Physics (62 citations), Atomic and Molecular Physics, and Optics (156 citations) and Cell Biology (78 citations). Shenshen Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peter G. Wolynes, Ching-Kit Chan, Tony E. Lee, Barry Kriegsman, Dennis R. Burton, Herman N. Eisen, Mehran Kardar, K. Dane Wittrup, Melissa C. Hanson and Darrell J. Irvine. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, International Journal of Heat and Mass Transfer, Physical Review X and PLoS Computational Biology.
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.