Kelly Wang
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 5
- HIV/AIDS Research and Interventions 2
- Virology 5
- HIV Research and Treatment 5
- Co-authors
- X. Peter (1 shared paper)Jun Wang (1 shared paper)Weiping Zhu (1 shared paper)Bernard P. Murray (5 shared papers)Tomáš Cihlář (2 shared papers)Andrew Mulato (2 shared papers)Christian Callebaut (2 shared papers)William Rowe (3 shared papers)
- Journals
- Gynecologic Oncology (2 papers)Xenobiotica (2 papers)Thrombosis Research (1 paper)Journal of Medicinal Chemistry (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Kelly Wang
22 papers receiving 212 citations
Peers
Comparison fields: 5 of 88
- Virology 43
- Infectious Diseases 59
- Biomaterials 20
- Human-Computer Interaction 8
- Pharmacology 12
Countries citing papers authored by Kelly Wang
This map shows the geographic impact of Kelly 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 Kelly Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Wang more than expected).
Fields of papers citing papers by Kelly Wang
This network shows the impact of papers produced by Kelly 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 Kelly Wang. The network helps show where Kelly Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kelly 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 34 | |
| 2 | 2011 | 30 | |
| 3 | 2023 | 28 | |
| 4 | 2020 | 17 | |
| 5 | 2018 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 1 |
About Kelly Wang
Kelly Wang is a scholar working on Infectious Diseases, Virology, Epidemiology, Oncology and Surgery, having authored 26 papers that have together received 215 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (5 papers), Drug Transport and Resistance Mechanisms (2 papers), HIV/AIDS Research and Interventions (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Psychological Well-being and Life Satisfaction (1 paper), Behavioral Health and Interventions (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Virology (43 citations), Infectious Diseases (59 citations), Biomaterials (20 citations), Human-Computer Interaction (8 citations) and Pharmacology (12 citations). Kelly Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include X. Peter, Jun Wang, Weiping Zhu, Bernard P. Murray, Tomáš Cihlář, Andrew Mulato, Christian Callebaut, William Rowe, Anna Chiu and Gong-Xin He. Their work appears in journals such as Gynecologic Oncology, Xenobiotica, Thrombosis Research, Journal of Medicinal Chemistry and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.