Jun Wu
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Liver physiology and pathology
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 28
- Hepatitis C virus research 20
- Hepatitis Viruses Studies and Epidemiology 7
- Epidemiology 40
- Hepatitis B Virus Studies 36
- Liver Disease Diagnosis and Treatment 14
- Co-authors
- Mengji Lu (26 shared papers)JF Schlaak (8 shared papers)Dongliang Yang (26 shared papers)Ruth Broering (6 shared papers)Guido Gerken (5 shared papers)Zhongji Meng (7 shared papers)Martin Trippler (5 shared papers)Michael Roggendorf (9 shared papers)
In The Last Decade
Jun Wu
68 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 120
- Hepatology 769
- Epidemiology 1.1k
- Immunology 487
- Complementary and alternative medicine 104
- Infectious Diseases 200
Countries citing papers authored by Jun Wu
This map shows the geographic impact of Jun Wu'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 Jun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu more than expected).
Fields of papers citing papers by Jun Wu
This network shows the impact of papers produced by Jun Wu. 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 Jun Wu. The network helps show where Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 286 | |
| 2 | 2007 | 235 | |
| 3 | 2019 | 203 | |
| 4 | 2009 | 187 | |
| 5 | 2019 | 115 | |
| 6 | 2008 | 86 | |
| 7 | 2014 | 75 | |
| 8 | 2002 | 57 | |
| 9 | 2010 | 56 | |
| 10 | 2003 | 50 | |
| 11 | 2015 | 43 | |
| 12 | 2013 | 41 | |
| 13 | 2015 | 41 | |
| 14 | 2017 | 37 | |
| 15 | 2014 | 34 | |
| 16 | 2008 | 34 | |
| 17 | 2019 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2007 | 27 | |
| 20 | 2008 | 25 |
About Jun Wu
Jun Wu is a scholar working on Hepatology, Epidemiology, Immunology, Infectious Diseases and Animal Science and Zoology, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (36 papers), Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (14 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Immunotherapy and Immune Responses (6 papers), Immune Response and Inflammation (5 papers), Viral Infections and Outbreaks Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Hepatology (769 citations), Epidemiology (1.1k citations), Immunology (487 citations), Complementary and alternative medicine (104 citations) and Infectious Diseases (200 citations). Jun Wu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Mengji Lu, JF Schlaak, Dongliang Yang, Ruth Broering, Guido Gerken, Zhongji Meng, Martin Trippler, Michael Roggendorf, Ulf Dittmer and Frank Krux. Their work appears in journals such as Frontiers in Immunology, Vaccine, European Journal of Clinical Microbiology & Infectious Diseases, PLoS ONE and Biochemical and Biophysical Research Communications.
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.