Beth Browning
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in ⓘ
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- TGF-β signaling in diseases 3
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- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
- Co-authors
- Linda C. Burkly (9 shared papers)Timothy S. Zheng (8 shared papers)Jennifer S. Michaelson (4 shared papers)Aniela Jakubowski (2 shared papers)Yen‐Ming Hsu (4 shared papers)Christine Ambrose (2 shared papers)Monica Z. Wang (2 shared papers)John Lincecum (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (2 papers)Cell Communication & Adhesion (1 paper)Cancer Biology & Therapy (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Beth Browning
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 538
- Immunology 525
- Hepatology 192
- Immunology and Allergy 77
- Virology 47
Countries citing papers authored by Beth Browning
This map shows the geographic impact of Beth 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 Beth Browning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Browning more than expected).
Fields of papers citing papers by Beth Browning
This network shows the impact of papers produced by Beth 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 Beth Browning. The network helps show where Beth Browning may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth 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 | 2005 | 329 | |
| 2 | 2006 | 184 | |
| 3 | 2008 | 177 | |
| 4 | 2006 | 143 | |
| 5 | 2006 | 132 | |
| 6 | 2002 | 105 | |
| 7 | 2003 | 101 | |
| 8 | 2005 | 73 | |
| 9 | 1997 | 62 | |
| 10 | 2015 | 16 | |
| 11 | 2010 | 5 | |
| 12 | 2008 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2022 | 1 |
About Beth Browning
Beth Browning is a scholar working on Molecular Biology, Immunology, Cancer Research, Immunology and Allergy and Oncology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), NF-κB Signaling Pathways (5 papers), TGF-β signaling in diseases (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), interferon and immune responses (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cancer Research (538 citations), Immunology (525 citations), Hepatology (192 citations), Immunology and Allergy (77 citations) and Virology (47 citations). Beth Browning has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Linda C. Burkly, Timothy S. Zheng, Jennifer S. Michaelson, Aniela Jakubowski, Yen‐Ming Hsu, Christine Ambrose, Monica Z. Wang, John Lincecum, Lihe Su and Martin Scott. Their work appears in journals such as The Journal of Immunology, Cancer Research, Cell Communication & Adhesion, Cancer Biology & Therapy and The EMBO Journal.
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.