Chen‐Hsiang Shen
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
- Virology 18
- HIV Research and Treatment 18
-
- Glycosylation and Glycoproteins Research 6
- Biochemical and Molecular Research 6
- Co-authors
- Irene T. Weber (11 shared papers)Robert W. Harrison (6 shared papers)Peter D. Kwong (21 shared papers)Yuan‐Fang Wang (4 shared papers)Andrey Kovalevsky (4 shared papers)Johnson Agniswamy (6 shared papers)Gwo‐Yu Chuang (13 shared papers)Reda Rawi (13 shared papers)
- Journals
- Cell Reports (5 papers)Journal of Medicinal Chemistry (3 papers)Structure (3 papers)Nature Communications (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Chen‐Hsiang Shen
33 papers receiving 750 citations
Peers
Comparison fields: 5 of 85
- Virology 346
- Infectious Diseases 313
- Hepatology 74
- Radiology, Nuclear Medicine and Imaging 104
- Molecular Biology 320
Countries citing papers authored by Chen‐Hsiang Shen
This map shows the geographic impact of Chen‐Hsiang Shen'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 Chen‐Hsiang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Hsiang Shen more than expected).
Fields of papers citing papers by Chen‐Hsiang Shen
This network shows the impact of papers produced by Chen‐Hsiang Shen. 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 Chen‐Hsiang Shen. The network helps show where Chen‐Hsiang Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Hsiang Shen, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 114 | |
| 2 | 2017 | 87 | |
| 3 | 2012 | 74 | |
| 4 | 2018 | 59 | |
| 5 | 2018 | 43 | |
| 6 | 2016 | 40 | |
| 7 | 2013 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2020 | 18 | |
| 16 | 2002 | 15 | |
| 17 | 2012 | 12 | |
| 18 | 2015 | 10 | |
| 19 | 2012 | 8 | |
| 20 | 2016 | 8 |
About Chen‐Hsiang Shen
Chen‐Hsiang Shen is a scholar working on Virology, Molecular Biology, Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 755 indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Immune Cell Function and Interaction (6 papers), Biochemical and Molecular Research (6 papers), Hepatitis C virus research (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Virology (346 citations), Infectious Diseases (313 citations), Hepatology (74 citations), Radiology, Nuclear Medicine and Imaging (104 citations) and Molecular Biology (320 citations). Chen‐Hsiang Shen has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Irene T. Weber, Robert W. Harrison, Peter D. Kwong, Yuan‐Fang Wang, Andrey Kovalevsky, Johnson Agniswamy, Gwo‐Yu Chuang, Reda Rawi, John M. Louis and Raghvendra Mall. Their work appears in journals such as Cell Reports, Journal of Medicinal Chemistry, Structure, Nature Communications and Biochemistry.
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.