Mark Bryant
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Mast cells and histamine 2
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Thomas F. X. Collins (5 shared papers)Dennis I. Ruggles (5 shared papers)Nicholas Olejnik (5 shared papers)Sean Bong Lee (1 shared paper)Kai Li (1 shared paper)John J. O’Shea (1 shared paper)Chu‐Xia Deng (1 shared paper)Cuiling Li (1 shared paper)
- Journals
- Food and Chemical Toxicology (5 papers)Blood (1 paper)Journal of Clinical Investigation (1 paper)Journal of Alzheimer s Disease (1 paper)Viruses (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Mark Bryant
22 papers receiving 689 citations
Peers
Comparison fields: 5 of 76
- Aging 37
- Geriatrics and Gerontology 45
- Virology 22
- Pathology and Forensic Medicine 74
- Physiology 87
Countries citing papers authored by Mark Bryant
This map shows the geographic impact of Mark Bryant'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 Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Bryant more than expected).
Fields of papers citing papers by Mark Bryant
This network shows the impact of papers produced by Mark Bryant. 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 Bryant. The network helps show where Mark Bryant may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Bryant, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 161 | |
| 2 | 2007 | 124 | |
| 3 | 2003 | 73 | |
| 4 | 2012 | 44 | |
| 5 | 2004 | 36 | |
| 6 | 1998 | 33 | |
| 7 | 2004 | 33 | |
| 8 | 2001 | 32 | |
| 9 | 2005 | 29 | |
| 10 | 2013 | 29 | |
| 11 | 1998 | 27 | |
| 12 | 2005 | 24 | |
| 13 | 2014 | 18 | |
| 14 | 1994 | 16 | |
| 15 | 2005 | 15 | |
| 16 | 1999 | 13 | |
| 17 | 2002 | 7 | |
| 18 | Disseminated trichosporonosis in a murine model of chronic granulomatous disease. | 2003 | 7 |
| 19 | 2009 | 7 | |
| 20 | 2011 | 6 |
About Mark Bryant
Mark Bryant is a scholar working on Immunology, Pathology and Forensic Medicine, Small Animals, Infectious Diseases and Virology, having authored 22 papers that have together received 743 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (3 papers), Mast cells and histamine (2 papers), Multiple Sclerosis Research Studies (2 papers), Antifungal resistance and susceptibility (1 paper), Dermatological diseases and infestations (1 paper), Alzheimer's disease research and treatments (1 paper), HIV Research and Treatment (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Aging (37 citations), Geriatrics and Gerontology (45 citations), Virology (22 citations), Pathology and Forensic Medicine (74 citations) and Physiology (87 citations). Mark Bryant has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Thomas F. X. Collins, Dennis I. Ruggles, Nicholas Olejnik, Sean Bong Lee, Kai Li, John J. O’Shea, Chu‐Xia Deng, Cuiling Li, Alissa Parmelee and Wendy Tharpe Watford. Their work appears in journals such as Food and Chemical Toxicology, Blood, Journal of Clinical Investigation, Journal of Alzheimer s Disease and Viruses.
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.