Qisheng Wang
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 7
- Animal Science and Zoology top 1%
- Biological Psychiatry top 5%
- Neurology top 2%
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- Enzyme Structure and Function 26
- Covalent Organic Framework Applications 3
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- Protein Structure and Dynamics 12
- Biochemical and Molecular Research 6
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- Advanced X-ray Imaging Techniques 6
- Co-authors
- Huan ZhouXinquan WangShilong FanJiwan GeQi ZhangLinqi ZhangSisi ShanJinfang Yu
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Qisheng Wang
53 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Infectious Diseases 5.2k
- Computational Theory and Mathematics 1.3k
- Animal Science and Zoology 569
- Biological Psychiatry 112
- Neurology 564
Countries citing papers authored by Qisheng Wang
This map shows the geographic impact of Qisheng 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 Qisheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qisheng Wang more than expected).
Fields of papers citing papers by Qisheng Wang
This network shows the impact of papers produced by Qisheng 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 Qisheng Wang. The network helps show where Qisheng Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qisheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 0 | |
| 14 | 2022 | 20 | |
| 15 | 2021 | 25 | |
| 16 | 2021 | 38 | |
| 17 | Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main proteasebreakdown → | 2020 | 392 |
| 18 | 2020 | 49 | |
| 19 | Structural and Functional Basis of SARS-CoV-2 Entry by Using Human ACE2breakdown → | 2020 | 2018 |
| 20 | 2018 | 6 |
About Qisheng Wang
Qisheng Wang is a scholar working on Structural Biology, Radiation and Materials Chemistry, having authored 60 papers that have together received 7.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (26 papers), Protein Structure and Dynamics (12 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers), Biochemical and Molecular Research (6 papers), Advanced X-ray Imaging Techniques (6 papers), COVID-19 Clinical Research Studies (4 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Computational Theory and Mathematics (1.3k citations) and Animal Science and Zoology (569 citations). Qisheng Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Huan Zhou, Xinquan Wang, Shilong Fan, Jiwan Ge, Qi Zhang, Linqi Zhang, Sisi Shan, Jinfang Yu, Jun Lan and Xuanling Shi. Their work appears in journals such as Nature, Cell and Journal of the American Chemical Society.
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.