Beth Browning
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Hepatology top 5%
- Liver physiology and pathology
Papers in
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- TGF-β signaling in diseases 3
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
-
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Linda C. Burkly (9 shared papers)Timothy S. Zheng (8 shared papers)Jennifer S. Michaelson (4 shared papers)Christine Ambrose (2 shared papers)Aniela Jakubowski (2 shared papers)John Lincecum (2 shared papers)Monica Z. Wang (2 shared papers)Yen‐Ming Hsu (4 shared papers)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (2 papers)Cell Communication & Adhesion (1 paper)Oncogene (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Beth Browning
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Cancer Research 545
- Hepatology 182
- Immunology 453
- Immunology and Allergy 59
- Virology 42
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 | 344 | |
| 2 | 2006 | 189 | |
| 3 | 2008 | 187 | |
| 4 | 2006 | 142 | |
| 5 | 2006 | 132 | |
| 6 | 2002 | 105 | |
| 7 | 2003 | 102 | |
| 8 | 2005 | 75 | |
| 9 | 1997 | 63 | |
| 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 1.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Cell Adhesion Molecules Research (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), Ubiquitin and proteasome pathways (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (545 citations), Hepatology (182 citations), Immunology (453 citations), Immunology and Allergy (59 citations) and Virology (42 citations). Beth Browning has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Linda C. Burkly, Timothy S. Zheng, Jennifer S. Michaelson, Christine Ambrose, Aniela Jakubowski, John Lincecum, Monica Z. Wang, Yen‐Ming Hsu, Lihe Su and Martin Scott. Their work appears in journals such as The Journal of Immunology, Cancer Research, Cell Communication & Adhesion, Oncogene and Journal of Clinical Investigation.
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.