Ross Boylan
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Social Psychology top 10%
- LGBTQ Health, Identity, and Policy
Papers in
-
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 3
- HIV, Drug Use, Sexual Risk 2
-
- Hepatitis C virus research 5
- Co-authors
- George Ayala (4 shared papers)Jay P. Paul (4 shared papers)Kyung–Hee Choi (4 shared papers)Steven E. Gregorich (3 shared papers)John Neuhaus (5 shared papers)Charles E. McCulloch (5 shared papers)Peter Bacchetti (6 shared papers)Chong‐suk Han (1 shared paper)
- Journals
- Biometrics (3 papers)The International Journal of Biostatistics (2 papers)Statistics in Medicine (2 papers)PLoS ONE (2 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Ross Boylan
19 papers receiving 434 citations
Peers
Comparison fields: 5 of 79
- Hepatology 76
- Social Psychology 160
- Infectious Diseases 128
- Statistics and Probability 52
- Gender Studies 49
Countries citing papers authored by Ross Boylan
This map shows the geographic impact of Ross Boylan'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 Ross Boylan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross Boylan more than expected).
Fields of papers citing papers by Ross Boylan
This network shows the impact of papers produced by Ross Boylan. 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 Ross Boylan. The network helps show where Ross Boylan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ross Boylan, 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 | 2013 | 122 | |
| 2 | 2014 | 84 | |
| 3 | 2012 | 36 | |
| 4 | 2008 | 35 | |
| 5 | 2013 | 25 | |
| 6 | 2010 | 22 | |
| 7 | 2014 | 21 | |
| 8 | 2011 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 1991 | 10 | |
| 14 | 2011 | 9 | |
| 15 | 2013 | 4 | |
| 16 | 1992 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Ross Boylan
Ross Boylan is a scholar working on Epidemiology, Hepatology, Statistics and Probability, Infectious Diseases and Social Psychology, having authored 21 papers that have together received 449 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), HIV/AIDS Research and Interventions (4 papers), Hepatitis B Virus Studies (3 papers), Statistical Methods and Inference (3 papers), LGBTQ Health, Identity, and Policy (3 papers) and HIV, Drug Use, Sexual Risk (2 papers). The work is most often cited by research in Hepatology (76 citations), Social Psychology (160 citations), Infectious Diseases (128 citations), Statistics and Probability (52 citations) and Gender Studies (49 citations). Ross Boylan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include George Ayala, Jay P. Paul, Kyung–Hee Choi, Steven E. Gregorich, John Neuhaus, Charles E. McCulloch, Peter Bacchetti, Chong‐suk Han, Norah A. Terrault and Alexander Monto. Their work appears in journals such as Biometrics, The International Journal of Biostatistics, Statistics in Medicine, PLoS ONE and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.