Bryan 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 B Virus Studies 7
- Liver Disease Diagnosis and Treatment 2
-
- Hepatitis C virus research 7
- Co-authors
- Francis V. Chisari (10 shared papers)Michael D. Robek (3 shared papers)Stefan Wieland (5 shared papers)Christina Whitten-Bauer (3 shared papers)Urtzi Garaigorta (2 shared papers)Élodie Décembre (1 shared paper)Josan Chung (1 shared paper)Marlène Dreux (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 StatesJapanChina
In The Last Decade
Bryan Boyd
11 papers receiving 1.5k citations
Bryan Boyd's Hit Papers
Peers
Comparison fields: 5 of 65
- Hepatology 639
- Epidemiology 680
- Immunology 432
- Virology 67
- Infectious Diseases 242
Countries citing papers authored by Bryan Boyd
This map shows the geographic impact of Bryan 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 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 Boyd more than expected).
Fields of papers citing papers by Bryan Boyd
This network shows the impact of papers produced by Bryan 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 Boyd. The network helps show where Bryan Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan 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 | 377 |
| 2 | 2005 | 361 | |
| 3 | 2010 | 168 | |
| 4 | 2005 | 156 | |
| 5 | 2005 | 135 | |
| 6 | 2014 | 102 | |
| 7 | 2012 | 100 | |
| 8 | 2004 | 63 | |
| 9 | 2006 | 42 | |
| 10 | 2013 | 33 | |
| 11 | 2022 | 7 |
About Bryan Boyd
Bryan Boyd is a scholar working on Epidemiology, Hepatology, Molecular Biology, Immunology and Animal Science and Zoology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Immunotherapy and Immune Responses (3 papers), Animal Virus Infections Studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Extracellular vesicles in disease (2 papers), Blood properties and coagulation (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Hepatology (639 citations), Epidemiology (680 citations), Immunology (432 citations), Virology (67 citations) and Infectious Diseases (242 citations). Bryan Boyd has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Francis V. Chisari, Michael D. Robek, Stefan Wieland, Christina Whitten-Bauer, Urtzi Garaigorta, Élodie Décembre, Josan Chung, Marlène Dreux, 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.