Mark Guy
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
- Epidemiology 12
- Hepatitis B Virus Studies 3
- Mycobacterium research and diagnosis 3
- Surgery 5
- Co-authors
- Gurdyal S. Besra (6 shared papers)Steven A. Porcelli (3 shared papers)D. Branch Moody (3 shared papers)Bruce B. Reinhold (1 shared paper)Peter A. Sieling (1 shared paper)Robert L. Modlin (1 shared paper)Evan Beckman (1 shared paper)Ye Song (1 shared paper)
- Journals
- Vaccine (2 papers)Pediatric Transplantation (2 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (2 papers)Schizophrenia Bulletin (1 paper)Human Vaccines (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Mark Guy
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Immunology 596
- Infectious Diseases 334
- Epidemiology 364
- Transplantation 28
- Hepatology 78
Countries citing papers authored by Mark Guy
This map shows the geographic impact of Mark Guy'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 Mark Guy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Guy more than expected).
Fields of papers citing papers by Mark Guy
This network shows the impact of papers produced by Mark Guy. 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 Mark Guy. The network helps show where Mark Guy may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Guy, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 382 | |
| 2 | 2000 | 209 | |
| 3 | 2002 | 129 | |
| 4 | 2000 | 126 | |
| 5 | 1983 | 122 | |
| 6 | 2017 | 77 | |
| 7 | 2009 | 56 | |
| 8 | 2008 | 51 | |
| 9 | 2009 | 49 | |
| 10 | 2009 | 47 | |
| 11 | 2006 | 44 | |
| 12 | 2001 | 39 | |
| 13 | 2005 | 38 | |
| 14 | 2018 | 31 | |
| 15 | 2008 | 30 | |
| 16 | 2004 | 17 | |
| 17 | 2008 | 15 | |
| 18 | 2015 | 12 | |
| 19 | 2017 | 9 | |
| 20 | 2015 | 4 |
About Mark Guy
Mark Guy is a scholar working on Epidemiology, Surgery, Molecular Biology, Immunology and Infectious Diseases, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Mycobacterium research and diagnosis (3 papers), Dialysis and Renal Disease Management (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Liver Disease and Transplantation (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Immunology (596 citations), Infectious Diseases (334 citations), Epidemiology (364 citations), Transplantation (28 citations) and Hepatology (78 citations). Mark Guy has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Gurdyal S. Besra, Steven A. Porcelli, D. Branch Moody, Bruce B. Reinhold, Peter A. Sieling, Robert L. Modlin, Evan Beckman, Ye Song, Tan‐Yun Cheng and Vernon N. Reinhold. Their work appears in journals such as Vaccine, Pediatric Transplantation, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Schizophrenia Bulletin and Human Vaccines.
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.