Eric J. Brown
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Immunology top 1%
- Phagocytosis and Immune Regulation
Papers in
-
- Cell Adhesion Molecules Research 20
-
- Antibiotic Resistance in Bacteria 5
- Co-authors
- Stuart L. SchreiberShirley PeaseDavid BaltimoreCarlos LoisElizabeth J. HongMark W. AlbersWilliam S. LaneCurtis T. Keith
- Journals
- The Journal of Cell Biology (7 papers)Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS Pathogens (4 papers)Infection and Immunity (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eric J. Brown
60 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology and Allergy 1.3k
- Immunology 1.9k
- Molecular Biology 4.7k
- Cell Biology 950
- Infectious Diseases 1.0k
Countries citing papers authored by Eric J. Brown
This map shows the geographic impact of Eric J. Brown'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 Eric J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Brown more than expected).
Fields of papers citing papers by Eric J. Brown
This network shows the impact of papers produced by Eric J. Brown. 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 Eric J. Brown. The network helps show where Eric J. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric J. Brown, 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 | 2020 | 26 | |
| 2 | 2017 | 39 | |
| 3 | 2014 | 129 | |
| 4 | 2011 | 98 | |
| 5 | 2010 | 44 | |
| 6 | 2009 | 258 | |
| 7 | 2009 | 103 | |
| 8 | 2008 | 32 | |
| 9 | 2007 | 156 | |
| 10 | 2006 | 27 | |
| 11 | 2004 | 21 | |
| 12 | 2003 | 212 | |
| 13 | Germline Transmission and Tissue-Specific Expression of Transgenes Delivered by Lentiviral Vectors Hit paper breakdown → | 2002 | 1635 |
| 14 | 1999 | 117 | |
| 15 | 1996 | 326 | |
| 16 | 1996 | 349 | |
| 17 | 1994 | 112 | |
| 18 | 1993 | 14 | |
| 19 | 1985 | 104 | |
| 20 | 1981 | 9 |
About Eric J. Brown
Eric J. Brown is a scholar working on Immunology and Allergy, Molecular Medicine, Hematology, Infectious Diseases and Immunology, having authored 60 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (20 papers), Mycobacterium research and diagnosis (12 papers), Ubiquitin and proteasome pathways (7 papers), Tuberculosis Research and Epidemiology (7 papers), Platelet Disorders and Treatments (7 papers), Protease and Inhibitor Mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Immunology and Allergy (1.3k citations), Immunology (1.9k citations), Molecular Biology (4.7k citations), Cell Biology (950 citations) and Infectious Diseases (1.0k citations). Eric J. Brown has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Stuart L. Schreiber, Shirley Pease, David Baltimore, Carlos Lois, Elizabeth J. Hong, Mark W. Albers, William S. Lane, Curtis T. Keith, Frederik P. Lindberg and Hattie D. Gresham. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, PLoS Pathogens and Infection and Immunity.
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.