Jiwan Ge
Impact in
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 5
-
- Immune Cell Function and Interaction 2
- Co-authors
- Xinquan Wang (12 shared papers)Linqi Zhang (6 shared papers)Jun Lan (3 shared papers)Xuanling Shi (3 shared papers)Qi Zhang (3 shared papers)Qisheng Wang (1 shared paper)Sisi Shan (1 shared paper)Huan Zhou (1 shared paper)
- Journals
- Immunity (3 papers)Structure (2 papers)Nanotechnology (2 papers)Nature Communications (1 paper)Current Opinion in HIV and AIDS (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jiwan Ge
18 papers receiving 5.1k citations
Jiwan Ge's Hit Papers
Peers
Comparison fields: 5 of 130
- Infectious Diseases 3.9k
- Computational Theory and Mathematics 643
- Animal Science and Zoology 404
- Neurology 492
- Modeling and Simulation 126
Countries citing papers authored by Jiwan Ge
This map shows the geographic impact of Jiwan Ge'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 Jiwan Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwan Ge more than expected).
Fields of papers citing papers by Jiwan Ge
This network shows the impact of papers produced by Jiwan Ge. 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 Jiwan Ge. The network helps show where Jiwan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiwan Ge, 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 | Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor Hit paper breakdown → | 2020 | 4084 |
| 2 | Detection of SARS-CoV-2-Specific Humoral and Cellular Immunity in COVID-19 Convalescent Individuals Hit paper breakdown → | 2020 | 718 |
| 3 | 2021 | 138 | |
| 4 | 2021 | 88 | |
| 5 | 2004 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2016 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2015 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2015 | 1 |
About Jiwan Ge
Jiwan Ge is a scholar working on Infectious Diseases, Immunology, Materials Chemistry, Animal Science and Zoology and Biomedical Engineering, having authored 18 papers that have together received 5.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (5 papers), Animal Virus Infections Studies (3 papers), Plasmonic and Surface Plasmon Research (2 papers), Immune Cell Function and Interaction (2 papers), Poxvirus research and outbreaks (2 papers), GaN-based semiconductor devices and materials (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Infectious Diseases (3.9k citations), Computational Theory and Mathematics (643 citations), Animal Science and Zoology (404 citations), Neurology (492 citations) and Modeling and Simulation (126 citations). Jiwan Ge has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xinquan Wang, Linqi Zhang, Jun Lan, Xuanling Shi, Qi Zhang, Qisheng Wang, Sisi Shan, Huan Zhou, Jinfang Yu and Shilong Fan. Their work appears in journals such as Immunity, Structure, Nanotechnology, Nature Communications and Current Opinion in HIV and AIDS.
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.