Xiaolin Wang
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- HIV/AIDS drug development and treatment 7
- HIV/AIDS Research and Interventions 3
- Immunology 12
- Immune Cell Function and Interaction 5
- Co-authors
- Jingang Gui (14 shared papers)Hanping Li (10 shared papers)Xiaohua Ye (2 shared papers)Ling Li (2 shared papers)Zhenjiang Yao (2 shared papers)Sidong Chen (2 shared papers)Tianyi Li (4 shared papers)Lei Jia (5 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Clinical Immunology (3 papers)Frontiers in Microbiology (2 papers)Cell Death Discovery (1 paper)One Earth (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaolin Wang
49 papers receiving 430 citations
Peers
Comparison fields: 5 of 103
- Virology 70
- Infectious Diseases 195
- Immunology 74
- Microbiology 18
- Nephrology 19
Countries citing papers authored by Xiaolin Wang
This map shows the geographic impact of Xiaolin 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 Xiaolin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wang more than expected).
Fields of papers citing papers by Xiaolin Wang
This network shows the impact of papers produced by Xiaolin 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 Xiaolin Wang. The network helps show where Xiaolin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 39 | |
| 2 | 2016 | 36 | |
| 3 | 2023 | 26 | |
| 4 | 2015 | 25 | |
| 5 | 2021 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2011 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2024 | 8 |
About Xiaolin Wang
Xiaolin Wang is a scholar working on Infectious Diseases, Immunology, Virology, Molecular Biology and Epidemiology, having authored 56 papers that have together received 442 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (7 papers), Immune Cell Function and Interaction (5 papers), Rock Mechanics and Modeling (4 papers), Tailings Management and Properties (4 papers), Bacterial biofilms and quorum sensing (3 papers), HIV/AIDS Research and Interventions (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Virology (70 citations), Infectious Diseases (195 citations), Immunology (74 citations), Microbiology (18 citations) and Nephrology (19 citations). Xiaolin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jingang Gui, Hanping Li, Xiaohua Ye, Ling Li, Zhenjiang Yao, Sidong Chen, Tianyi Li, Lei Jia, Jingwan Han and Jingyun Li. Their work appears in journals such as Frontiers in Immunology, Clinical Immunology, Frontiers in Microbiology, Cell Death Discovery and One Earth.
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.