John McNally
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Ophthalmology top 2%
Papers in ⓘ
- Hepatology 23
- Hepatitis C virus research 23
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- HIV/AIDS drug development and treatment 14
- Co-authors
- Robin L. Chalmers (9 shared papers)Diana M. Brainard (23 shared papers)Lisa Keay (3 shared papers)Mark Sulkowski (8 shared papers)Brian Doehle (7 shared papers)John G. McHutchison (9 shared papers)Yang Li (2 shared papers)Jami Kern (1 shared paper)
- Journals
- Optometry and Vision Science (7 papers)Gastroenterology (3 papers)Annals of Internal Medicine (3 papers)Journal of Hepatology (3 papers)Hepatology (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
John McNally
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Hepatology 1.0k
- Ophthalmology 329
- Epidemiology 1.2k
- Radiology, Nuclear Medicine and Imaging 466
- Public Health, Environmental and Occupational Health 561
Countries citing papers authored by John McNally
This map shows the geographic impact of John McNally'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 John McNally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McNally more than expected).
Fields of papers citing papers by John McNally
This network shows the impact of papers produced by John McNally. 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 John McNally. The network helps show where John McNally may publish in the future.
Co-authors
The 25 scholars most cited alongside John McNally, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 263 | |
| 2 | 2014 | 145 | |
| 3 | 2005 | 144 | |
| 4 | 2017 | 102 | |
| 5 | 2012 | 101 | |
| 6 | 2017 | 90 | |
| 7 | 2015 | 82 | |
| 8 | 2016 | 71 | |
| 9 | 2015 | 66 | |
| 10 | 2016 | 65 | |
| 11 | 2017 | 63 | |
| 12 | 2007 | 63 | |
| 13 | 2017 | 60 | |
| 14 | 2022 | 57 | |
| 15 | 2003 | 54 | |
| 16 | 2017 | 50 | |
| 17 | 2018 | 49 | |
| 18 | 1994 | 47 | |
| 19 | 2015 | 41 | |
| 20 | 2002 | 40 |
About John McNally
John McNally is a scholar working on Hepatology, Infectious Diseases, Ophthalmology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (23 papers), Hepatitis B Virus Studies (16 papers), Ocular Surface and Contact Lens (15 papers), Corneal surgery and disorders (14 papers), HIV/AIDS drug development and treatment (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Ophthalmology and Visual Impairment Studies (6 papers) and Corneal Surgery and Treatments (5 papers). The work is most often cited by research in Hepatology (1.0k citations), Ophthalmology (329 citations), Epidemiology (1.2k citations), Radiology, Nuclear Medicine and Imaging (466 citations) and Public Health, Environmental and Occupational Health (561 citations). John McNally has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robin L. Chalmers, Diana M. Brainard, Lisa Keay, Mark Sulkowski, Brian Doehle, John G. McHutchison, Yang Li, Jami Kern, Joseph P. Shovlin and James M. Tielsch. Their work appears in journals such as Optometry and Vision Science, Gastroenterology, Annals of Internal Medicine, Journal of Hepatology and Hepatology.
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.