Ewen Gallagher
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- Melanoma and MAPK Pathways 7
- Ubiquitin and proteasome pathways 7
- Protein Kinase Regulation and GTPase Signaling 5
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- NF-κB Signaling Pathways 10
- Co-authors
- Michael Karin (9 shared papers)Min Gao (3 shared papers)Yun‐Cai Liu (2 shared papers)Ying Xia (1 shared paper)Tord Labuda (1 shared paper)Deyu Fang (1 shared paper)Tesha Suddason (6 shared papers)Melanie H. Cobb (4 shared papers)
- Journals
- Cell Death and Differentiation (2 papers)Science (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Ewen Gallagher
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 447
- Immunology 524
- Molecular Biology 1.3k
- Oncology 463
- Cell Biology 229
Countries citing papers authored by Ewen Gallagher
This map shows the geographic impact of Ewen Gallagher'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 Ewen Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewen Gallagher more than expected).
Fields of papers citing papers by Ewen Gallagher
This network shows the impact of papers produced by Ewen Gallagher. 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 Ewen Gallagher. The network helps show where Ewen Gallagher may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewen Gallagher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 343 | |
| 2 | 2004 | 336 | |
| 3 | 2006 | 233 | |
| 4 | 2008 | 179 | |
| 5 | 2008 | 142 | |
| 6 | 2009 | 142 | |
| 7 | 2006 | 85 | |
| 8 | 2004 | 71 | |
| 9 | 2014 | 63 | |
| 10 | 2011 | 60 | |
| 11 | 2002 | 44 | |
| 12 | 2014 | 38 | |
| 13 | 2015 | 36 | |
| 14 | 2002 | 27 | |
| 15 | 2006 | 26 | |
| 16 | 2009 | 24 | |
| 17 | 2011 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2016 | 8 | |
| 20 | 2016 | 2 |
About Ewen Gallagher
Ewen Gallagher is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Cell Biology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (10 papers), Melanoma and MAPK Pathways (7 papers), Ubiquitin and proteasome pathways (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Mechanisms and Therapy (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cancer Research (447 citations), Immunology (524 citations), Molecular Biology (1.3k citations), Oncology (463 citations) and Cell Biology (229 citations). Ewen Gallagher has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael Karin, Min Gao, Yun‐Cai Liu, Ying Xia, Tord Labuda, Deyu Fang, Tesha Suddason, Melanie H. Cobb, Atsushi Matsuzawa and Paul C. Sternweis. Their work appears in journals such as Cell Death and Differentiation, Science, Journal of Biological Chemistry, The Journal of Cell Biology and Advances in experimental medicine and biology.
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.