Anna E. Snider
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Hepatitis C virus research 7
-
- Hepatitis B Virus Studies 5
- HIV, Drug Use, Sexual Risk 1
- Co-authors
- Stuart C. Ray (6 shared papers)Justin R. Bailey (6 shared papers)William O. Osburn (5 shared papers)Andrea L. Cox (2 shared papers)David L. Thomas (2 shared papers)Rachel Latanich (1 shared paper)Lisa N. Wasilewski (4 shared papers)Ramy El–Diwany (3 shared papers)
- Journals
- Annals of Internal Medicine (2 papers)PLoS Pathogens (1 paper)The Journal of Infectious Diseases (1 paper)Journal of Virology (1 paper)AIDS (1 paper)
- Partner nations
- United States
In The Last Decade
Anna E. Snider
10 papers receiving 524 citations
Peers
Comparison fields: 5 of 27
- Hepatology 450
- Virology 88
- Radiology, Nuclear Medicine and Imaging 227
- Epidemiology 323
- Infectious Diseases 40
Countries citing papers authored by Anna E. Snider
This map shows the geographic impact of Anna E. Snider'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 Anna E. Snider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna E. Snider more than expected).
Fields of papers citing papers by Anna E. Snider
This network shows the impact of papers produced by Anna E. Snider. 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 Anna E. Snider. The network helps show where Anna E. Snider may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna E. Snider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 225 | |
| 2 | 2017 | 110 | |
| 3 | 2014 | 76 | |
| 4 | 2017 | 43 | |
| 5 | 2016 | 26 | |
| 6 | 2015 | 26 | |
| 7 | 2015 | 16 | |
| 8 | 2021 | 6 | |
| 9 | 1952 | 3 | |
| 10 | Incident Hepatitis B Virus Infection in HIV-Infected and HIV-Uninfected Men Who Have Sex With Men From Pre-HAART to HAART Periods | 2015 | 1 |
About Anna E. Snider
Anna E. Snider is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Virology, having authored 10 papers that have together received 532 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HIV/AIDS Research and Interventions (2 papers), Calibration and Measurement Techniques (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Infrared Target Detection Methodologies (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hepatology (450 citations), Virology (88 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Epidemiology (323 citations) and Infectious Diseases (40 citations). Anna E. Snider has collaborated with scholars based in United States. Frequent co-authors include Stuart C. Ray, Justin R. Bailey, William O. Osburn, Andrea L. Cox, David L. Thomas, Rachel Latanich, Lisa N. Wasilewski, Ramy El–Diwany, Steven K. H. Foung and Zhen–Yong Keck. Their work appears in journals such as Annals of Internal Medicine, PLoS Pathogens, The Journal of Infectious Diseases, Journal of Virology and AIDS.
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.