Brian E. Nolan
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
Papers in
- Hepatology 12
- Hepatitis C virus research 11
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- Immunodeficiency and Autoimmune Disorders 7
- T-cell and B-cell Immunology 1
- Co-authors
- Georg M. Lauer (12 shared papers)Todd M. Allen (9 shared papers)Arthur Y. Kim (9 shared papers)Laura L. Reyor (7 shared papers)Julian Schulze zur Wiesch (8 shared papers)Lia Laura Lewis‐Ximenez (8 shared papers)Thomas Kuntzen (8 shared papers)Andrew C. Berical (7 shared papers)
- Journals
- Journal of Virology (4 papers)Frontiers in Immunology (3 papers)Blood (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Brian E. Nolan
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Hepatology 613
- Immunology 350
- Virology 50
- Epidemiology 108
- Oncology 56
Countries citing papers authored by Brian E. Nolan
This map shows the geographic impact of Brian E. Nolan'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 Brian E. Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Nolan more than expected).
Fields of papers citing papers by Brian E. Nolan
This network shows the impact of papers produced by Brian E. Nolan. 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 Brian E. Nolan. The network helps show where Brian E. Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Nolan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 191 | |
| 2 | 2007 | 170 | |
| 3 | 2010 | 123 | |
| 4 | 2010 | 108 | |
| 5 | 2007 | 86 | |
| 6 | 2007 | 84 | |
| 7 | 2009 | 70 | |
| 8 | 2018 | 61 | |
| 9 | 2008 | 56 | |
| 10 | 2021 | 50 | |
| 11 | 2008 | 43 | |
| 12 | 2008 | 39 | |
| 13 | 2021 | 32 | |
| 14 | 2007 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2009 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 1982 | 8 | |
| 20 | 2022 | 7 |
About Brian E. Nolan
Brian E. Nolan is a scholar working on Hepatology, Immunology, Epidemiology, Rehabilitation and Surgery, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Influenza Virus Research Studies (2 papers), Pediatric Hepatobiliary Diseases and Treatments (1 paper), Genomics and Chromatin Dynamics (1 paper), T-cell and B-cell Immunology (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Hepatology (613 citations), Immunology (350 citations), Virology (50 citations), Epidemiology (108 citations) and Oncology (56 citations). Brian E. Nolan has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Georg M. Lauer, Todd M. Allen, Arthur Y. Kim, Laura L. Reyor, Julian Schulze zur Wiesch, Lia Laura Lewis‐Ximenez, Thomas Kuntzen, Andrew C. Berical, Victoria O Kasprowicz and Raymond T. Chung. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Blood, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.