E J Brown
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Immunology top 2%
- Complement system in diseases
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Cell Adhesion Molecules Research 8
- Immunology 25
- Complement system in diseases 8
- Immunodeficiency and Autoimmune Disorders 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Mast cells and histamine 3
- T-cell and B-cell Immunology 3
- Co-authors
- Keith A. JoinerM M FrankMartin FrankJohn J. O’SheaZhou MingBruce SeligmannJulia A. MetcalfJ I Gallin
- Journals
- The Journal of Immunology (21 papers)Blood (7 papers)The Journal of Experimental Medicine (5 papers)Journal of Clinical Investigation (1 paper)Annual Review of Immunology (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
E J Brown
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Immunology and Allergy 351
- Immunology 974
- Microbiology 258
- Endocrinology 162
- Hematology 259
Countries citing papers authored by E J Brown
This map shows the geographic impact of E 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 E 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 E J Brown more than expected).
Fields of papers citing papers by E J Brown
This network shows the impact of papers produced by E 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 E J Brown. The network helps show where E J Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside E 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 | 1994 | 13 | |
| 2 | 1993 | 93 | |
| 3 | 1992 | 27 | |
| 4 | 1991 | 63 | |
| 5 | 1991 | 16 | |
| 6 | 1990 | 30 | |
| 7 | 1988 | 12 | |
| 8 | 1988 | 44 | |
| 9 | 1985 | 259 | |
| 10 | 1985 | 75 | |
| 11 | 1985 | 52 | |
| 12 | 1985 | 26 | |
| 13 | 1985 | 13 | |
| 14 | 1983 | 22 | |
| 15 | 1983 | 46 | |
| 16 | Mechanism of bacterial resistance to serum killing | 1982 | 2 |
| 17 | 1982 | 124 | |
| 18 | 1982 | 158 | |
| 19 | 1976 | 2 | |
| 20 | 1976 | 69 |
About E J Brown
E J Brown is a scholar working on Immunology and Allergy, Immunology, Hematology, Endocrinology and Microbiology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Cell Adhesion Molecules Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Blood groups and transfusion (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Mast cells and histamine (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology and Allergy (351 citations), Immunology (974 citations), Microbiology (258 citations), Endocrinology (162 citations) and Hematology (259 citations). E J Brown has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Keith A. Joiner, M M Frank, Martin Frank, John J. O’Shea, Zhou Ming, Bruce Seligmann, Julia A. Metcalf, J I Gallin, Julian L. Ambrus and R. J. Cole. Their work appears in journals such as The Journal of Immunology, Blood, The Journal of Experimental Medicine, Journal of Clinical Investigation and Annual Review of Immunology.
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.