Mayla Hsu
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Virology top 1%
- HIV Research and Treatment
Papers in
- Virology 13
- HIV Research and Treatment 13
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- HIV/AIDS drug development and treatment 10
- HIV/AIDS Research and Interventions 5
- Co-authors
- Cecilia Cheng‐Mayer (5 shared papers)Carine Logvinoff (1 shared paper)Mike Flint (1 shared paper)Charles M. Rice (2 shared papers)Jane A. McKeating (1 shared paper)Jie Zhang (1 shared paper)Jie Fang (3 shared papers)Kevin A. Pokornowski (3 shared papers)
- Journals
- Journal of Virology (3 papers)PLoS ONE (2 papers)AIDS Research and Human Retroviruses (2 papers)Hepatology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mayla Hsu
21 papers receiving 1.8k citations
Mayla Hsu's Hit Papers
Peers
Comparison fields: 5 of 76
- Hepatology 939
- Virology 574
- Infectious Diseases 567
- Epidemiology 982
- Radiology, Nuclear Medicine and Imaging 227
Countries citing papers authored by Mayla Hsu
This map shows the geographic impact of Mayla Hsu'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 Mayla Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayla Hsu more than expected).
Fields of papers citing papers by Mayla Hsu
This network shows the impact of papers produced by Mayla Hsu. 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 Mayla Hsu. The network helps show where Mayla Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayla Hsu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hepatitis C virus glycoproteins mediate pH-dependent cell entry of pseudotyped retroviral particles Hit paper breakdown → | 2003 | 642 |
| 2 | 2006 | 276 | |
| 3 | 1996 | 256 | |
| 4 | 2006 | 173 | |
| 5 | 2010 | 69 | |
| 6 | 2002 | 67 | |
| 7 | 2011 | 66 | |
| 8 | 1997 | 56 | |
| 9 | 1998 | 50 | |
| 10 | 2019 | 43 | |
| 11 | 2002 | 42 | |
| 12 | 1996 | 30 | |
| 13 | 2013 | 19 | |
| 14 | 2001 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 1998 | 15 | |
| 17 | 2005 | 14 | |
| 18 | 2003 | 13 | |
| 19 | 1999 | 7 | |
| 20 | 2017 | 3 |
About Mayla Hsu
Mayla Hsu is a scholar working on Virology, Infectious Diseases, Epidemiology, Hepatology and Molecular Biology, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (10 papers), HIV/AIDS Research and Interventions (5 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Immune Cell Function and Interaction (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hepatology (939 citations), Virology (574 citations), Infectious Diseases (567 citations), Epidemiology (982 citations) and Radiology, Nuclear Medicine and Imaging (227 citations). Mayla Hsu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Cecilia Cheng‐Mayer, Carine Logvinoff, Mike Flint, Charles M. Rice, Jane A. McKeating, Jie Zhang, Jie Fang, Kevin A. Pokornowski, Ronald E. Rose and Ann W. Walsh. Their work appears in journals such as Journal of Virology, PLoS ONE, AIDS Research and Human Retroviruses, Hepatology and Nucleic Acids 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.