Hong Shang
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
- Virology 93
- HIV Research and Treatment 93
-
- HIV/AIDS Research and Interventions 60
- HIV/AIDS drug development and treatment 33
- Co-authors
- Junjie Xu (68 shared papers)Xiaoxu Han (71 shared papers)Erik Trinkaus (6 shared papers)Yongjun Jiang (55 shared papers)Zhenxing Chu (48 shared papers)Haibo Ding (61 shared papers)Yutaka Takebe (11 shared papers)Wenqing Geng (48 shared papers)
- Journals
- BMC Infectious Diseases (14 papers)PLoS ONE (10 papers)BioMed Research International (7 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (7 papers)Frontiers in Immunology (7 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hong Shang
274 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 187
- Virology 1.4k
- Infectious Diseases 2.0k
- Epidemiology 996
- Immunology 637
- Paleontology 214
Countries citing papers authored by Hong Shang
This map shows the geographic impact of Hong Shang'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 Hong Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Shang more than expected).
Fields of papers citing papers by Hong Shang
This network shows the impact of papers produced by Hong Shang. 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 Hong Shang. The network helps show where Hong Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Shang, 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 281 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 149 | |
| 2 | 2008 | 140 | |
| 3 | 2015 | 121 | |
| 4 | 2010 | 108 | |
| 5 | 2020 | 107 | |
| 6 | 2013 | 89 | |
| 7 | 2009 | 83 | |
| 8 | 2012 | 80 | |
| 9 | 2010 | 80 | |
| 10 | 2015 | 80 | |
| 11 | 2019 | 80 | |
| 12 | 2018 | 76 | |
| 13 | 2013 | 76 | |
| 14 | 2012 | 72 | |
| 15 | 2014 | 72 | |
| 16 | The Early Modern Human from Tianyuan Cave, China | 2010 | 70 |
| 17 | 2008 | 67 | |
| 18 | 2011 | 63 | |
| 19 | 2012 | 60 | |
| 20 | 2016 | 59 |
About Hong Shang
Hong Shang is a scholar working on Virology, Infectious Diseases, Immunology, Epidemiology and Molecular Biology, having authored 281 papers that have together received 5.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (93 papers), HIV/AIDS Research and Interventions (60 papers), Immune Cell Function and Interaction (42 papers), HIV/AIDS drug development and treatment (33 papers), HIV, Drug Use, Sexual Risk (20 papers), T-cell and B-cell Immunology (13 papers), Cytomegalovirus and herpesvirus research (13 papers) and HIV-related health complications and treatments (13 papers). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (2.0k citations), Epidemiology (996 citations), Immunology (637 citations) and Paleontology (214 citations). Hong Shang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Junjie Xu, Xiaoxu Han, Erik Trinkaus, Yongjun Jiang, Zhenxing Chu, Haibo Ding, Yutaka Takebe, Wenqing Geng, Minghui An and Yongjun Jiang. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, BioMed Research International, JAIDS Journal of Acquired Immune Deficiency Syndromes and Frontiers in Immunology.
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.