Bryan S. Boyd
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Epidemiology top 5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Hepatitis C virus research 7
-
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Francis V. Chisari (10 shared papers)Michael D. Robek (3 shared papers)Stefan F. Wieland (5 shared papers)Christina Whitten-Bauer (3 shared papers)Urtzi Garaigorta (2 shared papers)Marlène Dreux (1 shared paper)Élodie Décembre (1 shared paper)Josan Chung (1 shared paper)
- Journals
- Journal of Virology (6 papers)Proceedings of the National Academy of Sciences (3 papers)Cell Host & Microbe (1 paper)Seminars in Thrombosis and Hemostasis (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Bryan S. Boyd
11 papers receiving 1.6k citations
Bryan S. Boyd's Hit Papers
Peers
Comparison fields: 5 of 66
- Hepatology 673
- Epidemiology 710
- Immunology 433
- Virology 69
- Infectious Diseases 251
Countries citing papers authored by Bryan S. Boyd
This map shows the geographic impact of Bryan S. Boyd'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 Bryan S. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan S. Boyd more than expected).
Fields of papers citing papers by Bryan S. Boyd
This network shows the impact of papers produced by Bryan S. Boyd. 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 Bryan S. Boyd. The network helps show where Bryan S. Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan S. Boyd, 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 | Short-Range Exosomal Transfer of Viral RNA from Infected Cells to Plasmacytoid Dendritic Cells Triggers Innate Immunity Hit paper breakdown → | 2012 | 392 |
| 2 | 2005 | 373 | |
| 3 | 2010 | 174 | |
| 4 | 2005 | 163 | |
| 5 | 2005 | 144 | |
| 6 | 2014 | 104 | |
| 7 | 2012 | 101 | |
| 8 | 2004 | 65 | |
| 9 | 2006 | 43 | |
| 10 | 2013 | 33 | |
| 11 | 2022 | 8 |
About Bryan S. Boyd
Bryan S. Boyd is a scholar working on Hepatology, Epidemiology, Animal Science and Zoology, Immunology and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Animal Virus Infections Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Extracellular vesicles in disease (2 papers), interferon and immune responses (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Hepatology (673 citations), Epidemiology (710 citations), Immunology (433 citations), Virology (69 citations) and Infectious Diseases (251 citations). Bryan S. Boyd has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Francis V. Chisari, Michael D. Robek, Stefan F. Wieland, Christina Whitten-Bauer, Urtzi Garaigorta, Marlène Dreux, Élodie Décembre, Josan Chung, Susan L. Uprichard and Alana Althage. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Cell Host & Microbe and Seminars in Thrombosis and Hemostasis.
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.