Lunan Wang
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Epidemiology 37
- Hepatitis B Virus Studies 23
- Liver Disease Diagnosis and Treatment 11
-
- SARS-CoV-2 and COVID-19 Research 10
- HIV/AIDS Research and Interventions 8
- Co-authors
- Le Chang (39 shared papers)Ying Yan (27 shared papers)Jinming Li (41 shared papers)Bryan T. Eaton (3 shared papers)Kuo Zhang (27 shared papers)Gary Crameri (1 shared paper)Yang Pan (7 shared papers)Tingting Jia (8 shared papers)
- Journals
- Virology Journal (6 papers)Transfusion (5 papers)PLoS ONE (5 papers)Frontiers in Microbiology (4 papers)Archives of Virology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lunan Wang
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 1.1k
- Hepatology 215
- Modeling and Simulation 122
- Animal Science and Zoology 162
- Agronomy and Crop Science 156
Countries citing papers authored by Lunan Wang
This map shows the geographic impact of Lunan 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 Lunan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lunan Wang more than expected).
Fields of papers citing papers by Lunan Wang
This network shows the impact of papers produced by Lunan 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 Lunan Wang. The network helps show where Lunan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lunan 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 452 | |
| 2 | 2020 | 202 | |
| 3 | 2007 | 193 | |
| 4 | 2014 | 116 | |
| 5 | 2020 | 109 | |
| 6 | 2016 | 103 | |
| 7 | 2012 | 95 | |
| 8 | 2016 | 79 | |
| 9 | 2013 | 77 | |
| 10 | 2008 | 76 | |
| 11 | 2012 | 74 | |
| 12 | 2008 | 69 | |
| 13 | 1995 | 68 | |
| 14 | 2014 | 67 | |
| 15 | 2009 | 45 | |
| 16 | 2015 | 37 | |
| 17 | 2022 | 34 | |
| 18 | 2008 | 34 | |
| 19 | 2021 | 27 | |
| 20 | 2017 | 25 |
About Lunan Wang
Lunan Wang is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Molecular Biology and Virology, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (24 papers), Hepatitis B Virus Studies (23 papers), HIV Research and Treatment (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Animal Disease Management and Epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), HIV/AIDS Research and Interventions (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Hepatology (215 citations), Modeling and Simulation (122 citations), Animal Science and Zoology (162 citations) and Agronomy and Crop Science (156 citations). Lunan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Le Chang, Ying Yan, Jinming Li, Bryan T. Eaton, Kuo Zhang, Gary Crameri, Yang Pan, Tingting Jia, Guigao Lin and Rui Zhang. Their work appears in journals such as Virology Journal, Transfusion, PLoS ONE, Frontiers in Microbiology and Archives of Virology.
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.