Gemma E. White
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Immune Response and Inflammation
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Oncology top 10%
- Chemokine receptors and signaling
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 11
- Chemokine receptors and signaling 10
- Cytokine Signaling Pathways and Interactions 1
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- Atherosclerosis and Cardiovascular Diseases 3
- Inflammation biomarkers and pathways 1
- Immune Response and Inflammation 1
- Co-authors
- David R. Greaves (13 shared papers)Asif Jilani Iqbal (5 shared papers)Jenna L. Cash (1 shared paper)Keith M. Channon (6 shared papers)Eileen McNeill (6 shared papers)Alison E. John (1 shared paper)Carl A. Whatling (1 shared paper)William L. McPheat (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Blood (1 paper)Pharmacological Reviews (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Gemma E. White
13 papers receiving 828 citations
Peers
Comparison fields: 5 of 79
- Immunology 222
- Oncology 212
- Neurology 28
- Rehabilitation 18
- Biological Psychiatry 3
Countries citing papers authored by Gemma E. White
This map shows the geographic impact of Gemma E. White'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 Gemma E. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma E. White more than expected).
Fields of papers citing papers by Gemma E. White
This network shows the impact of papers produced by Gemma E. White. 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 Gemma E. White. The network helps show where Gemma E. White may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma E. White, 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 | 2013 | 241 | |
| 2 | 2012 | 131 | |
| 3 | 2009 | 110 | |
| 4 | 2009 | 99 | |
| 5 | 2016 | 61 | |
| 6 | 2014 | 51 | |
| 7 | 2011 | 50 | |
| 8 | 2013 | 32 | |
| 9 | 2009 | 26 | |
| 10 | 2011 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 5 |
About Gemma E. White
Gemma E. White is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Surgery and Nuclear Energy and Engineering, having authored 13 papers that have together received 842 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (10 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Inflammation biomarkers and pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cholesterol and Lipid Metabolism (1 paper), Immune Response and Inflammation (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (222 citations), Oncology (212 citations), Neurology (28 citations), Rehabilitation (18 citations) and Biological Psychiatry (3 citations). Gemma E. White has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include David R. Greaves, Asif Jilani Iqbal, Jenna L. Cash, Keith M. Channon, Eileen McNeill, Alison E. John, Carl A. Whatling, William L. McPheat, Elizabeth J. Soilleux and Lewis Taylor. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Blood, Pharmacological Reviews, Methods in enzymology on CD-ROM/Methods in enzymology and PLoS ONE.
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.