Brian Long
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Galectins and Cancer Biology
- Reproductive System and Pregnancy
- Virology top 5%
- HIV Research and Treatment
Papers in
- Immunology 20
- Immune Cell Function and Interaction 15
- Reproductive System and Pregnancy 8
- T-cell and B-cell Immunology 5
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- Single-cell and spatial transcriptomics 6
- Co-authors
- Douglas F. Nixon (10 shared papers)Lewis L. Lanier (7 shared papers)Lishomwa C. Ndhlovu (3 shared papers)Jason D. Barbour (5 shared papers)Tsuyoshi Fujita (1 shared paper)Sandra López‐Vergès (1 shared paper)Aashish R. Jha (1 shared paper)R. Brad Jones (1 shared paper)
- Journals
- Blood (3 papers)Scientific Reports (3 papers)Journal of Virology (2 papers)Nature Neuroscience (2 papers)Virology (2 papers)
- Partner nations
- United StatesSwedenBrazil
In The Last Decade
Brian Long
45 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Immunology 1.0k
- Virology 187
- Biophysics 133
- Neurology 96
- Oncology 293
Countries citing papers authored by Brian Long
This map shows the geographic impact of Brian Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Long more than expected).
Fields of papers citing papers by Brian Long
This network shows the impact of papers produced by Brian Long. 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 Long. The network helps show where Brian Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Long, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 423 | |
| 2 | 2022 | 152 | |
| 3 | 2004 | 135 | |
| 4 | 2014 | 114 | |
| 5 | 2008 | 93 | |
| 6 | 2008 | 91 | |
| 7 | 2011 | 86 | |
| 8 | 2009 | 81 | |
| 9 | 2021 | 77 | |
| 10 | 2007 | 57 | |
| 11 | 2007 | 57 | |
| 12 | 2021 | 57 | |
| 13 | 2001 | 55 | |
| 14 | 2008 | 55 | |
| 15 | 2015 | 54 | |
| 16 | 2008 | 43 | |
| 17 | 2012 | 42 | |
| 18 | 2015 | 39 | |
| 19 | 2012 | 37 | |
| 20 | 2007 | 35 |
About Brian Long
Brian Long is a scholar working on Immunology, Molecular Biology, Biophysics, Virology and Neurology, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Cell Image Analysis Techniques (9 papers), HIV Research and Treatment (9 papers), Reproductive System and Pregnancy (8 papers), Single-cell and spatial transcriptomics (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), T-cell and B-cell Immunology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (1.0k citations), Virology (187 citations), Biophysics (133 citations), Neurology (96 citations) and Oncology (293 citations). Brian Long has collaborated with scholars based in United States, Sweden and Brazil. Frequent co-authors include Douglas F. Nixon, Lewis L. Lanier, Lishomwa C. Ndhlovu, Jason D. Barbour, Tsuyoshi Fujita, Sandra López‐Vergès, Aashish R. Jha, R. Brad Jones, Cheryl A. Stoddart and Roland Tisch. Their work appears in journals such as Blood, Scientific Reports, Journal of Virology, Nature Neuroscience and Virology.
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.