Gang Long
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Insect Resistance and Genetics 6
- Viral Infectious Diseases and Gene Expression in Insects 6
- Extracellular vesicles in disease 3
-
- Hepatitis B Virus Studies 6
- Co-authors
- Ralf Bartenschlager (10 shared papers)Marie–Sophie Hiet (3 shared papers)Petr Chlanda (1 shared paper)Jacomine Krijnse‐Locker (1 shared paper)Britta Brügger (1 shared paper)Andreas Merz (1 shared paper)Patrice André (1 shared paper)Felix Wieland (1 shared paper)
- Journals
- Journal of Virology (5 papers)Journal of Extracellular Vesicles (2 papers)PLoS Pathogens (2 papers)Journal of General Virology (2 papers)Virus Research (1 paper)
- Partner nations
- ChinaGermanyNetherlands
In The Last Decade
Gang Long
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Hepatology 623
- Virology 122
- Epidemiology 565
- Infectious Diseases 174
- Rheumatology 116
Countries citing papers authored by Gang Long
This map shows the geographic impact of Gang Long'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 Gang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Long more than expected).
Fields of papers citing papers by Gang Long
This network shows the impact of papers produced by Gang Long. 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 Gang Long. The network helps show where Gang Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang Long, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 284 | |
| 2 | 2009 | 107 | |
| 3 | 2014 | 100 | |
| 4 | 2015 | 93 | |
| 5 | 2011 | 85 | |
| 6 | 2012 | 73 | |
| 7 | 2020 | 57 | |
| 8 | 2006 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2021 | 30 | |
| 12 | 2023 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2022 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2006 | 17 | |
| 17 | 2005 | 16 | |
| 18 | 2003 | 14 | |
| 19 | 2010 | 7 | |
| 20 | 2022 | 6 |
About Gang Long
Gang Long is a scholar working on Molecular Biology, Epidemiology, Hepatology, Virology and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (6 papers), Insect Resistance and Genetics (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), HIV Research and Treatment (5 papers), Mosquito-borne diseases and control (4 papers), Entomopathogenic Microorganisms in Pest Control (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Hepatology (623 citations), Virology (122 citations), Epidemiology (565 citations), Infectious Diseases (174 citations) and Rheumatology (116 citations). Gang Long has collaborated with scholars based in China, Germany and Netherlands. Frequent co-authors include Ralf Bartenschlager, Marie–Sophie Hiet, Petr Chlanda, Jacomine Krijnse‐Locker, Britta Brügger, Andreas Merz, Patrice André, Felix Wieland, Volker Lohmann and Stephanie Kallis. Their work appears in journals such as Journal of Virology, Journal of Extracellular Vesicles, PLoS Pathogens, Journal of General Virology and Virus Research.
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.