Jeffrey L. Browning
- Immunology top 0.05%
- T-cell and B-cell Immunology 41
- Immunotherapy and Immune Responses 36
- Immune Response and Inflammation 30
- Immune Cell Function and Interaction 20
- Immunology and Allergy top 0.5%
- Cancer Research top 0.5%
- NF-κB Signaling Pathways 10
- Rheumatology top 0.5%
- Oncology top 1%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Lipid Membrane Structure and Behavior 10
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- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Fabienne MackayPascal SchneiderJürg TschoppPaul D. RennertChristine AmbroseR. Blake PepinskyCatherine HessionPaula S. Hochman
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Jeffrey L. Browning
156 papers receiving 18.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 11.3k
- Immunology and Allergy 886
- Cancer Research 2.0k
- Rheumatology 1.8k
- Oncology 2.5k
Countries citing papers authored by Jeffrey L. Browning
This map shows the geographic impact of Jeffrey L. Browning'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 Jeffrey L. Browning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey L. Browning more than expected).
Fields of papers citing papers by Jeffrey L. Browning
This network shows the impact of papers produced by Jeffrey L. Browning. 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 Jeffrey L. Browning. The network helps show where Jeffrey L. Browning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey L. Browning, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 70 | |
| 4 | 2018 | 15 | |
| 5 | 2016 | 38 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 39 | |
| 8 | 2012 | 1 | |
| 9 | 2003 | 51 | |
| 10 | 2003 | 99 | |
| 11 | 2002 | 71 | |
| 12 | Induction of germinal centers by MMTV encoded superantigen on B cells. | 2001 | 1 |
| 13 | 2001 | 76 | |
| 14 | Blocking of BAFF signaling pathway by BCMA-Fc attenuates autoimmune manifestations in BAFF transgenic mice and reveals its important role in maintaining peripheral B cell homeostasis. | 2000 | 1 |
| 15 | Baff Mediates Survival of Peripheral Immature B Lymphocytesbreakdown → | 2000 | 579 |
| 16 | 1999 | 41 | |
| 17 | 1999 | 2 | |
| 18 | 1999 | 58 | |
| 19 | 1996 | 131 | |
| 20 | 1984 | 57 |
About Jeffrey L. Browning
Jeffrey L. Browning is a scholar working on Immunology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 158 papers that have together received 19.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (41 papers), Immunotherapy and Immune Responses (36 papers), Immune Response and Inflammation (30 papers), Immune Cell Function and Interaction (20 papers), NF-κB Signaling Pathways (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Lipid Membrane Structure and Behavior (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Immunology (11.3k citations), Immunology and Allergy (886 citations) and Cancer Research (2.0k citations). Jeffrey L. Browning has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Fabienne Mackay, Pascal Schneider, Jürg Tschopp, Paul D. Rennert, Christine Ambrose, R. Blake Pepinsky, Catherine Hession, Paula S. Hochman, Carl F. Ware and Lesley K. Sinclair. Their work appears in journals such as Nature, Science and Cell.
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.