Felicity N. E. Gavins
- Immunology top 2%
- Immune Response and Inflammation 16
- Biomarkers in Disease Mechanisms 10
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 9
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 7
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms 7
- Molecular Biology top 5%
- S100 Proteins and Annexins 33
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- Acute Ischemic Stroke Management 7
- Co-authors
- Mauro PerrettiRoderick J. FlowerPaul M. HollowayJunaid AnsariStephen J. GettingSimon YonaMichael J. HickeyJulia C. Buckingham
- Journals
- Circulation (2 papers)Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Felicity N. E. Gavins
84 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 1.2k
- Neurology 338
- Immunology and Allergy 187
- Hematology 308
- Molecular Biology 1.9k
Countries citing papers authored by Felicity N. E. Gavins
This map shows the geographic impact of Felicity N. E. Gavins'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 Felicity N. E. Gavins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felicity N. E. Gavins more than expected).
Fields of papers citing papers by Felicity N. E. Gavins
This network shows the impact of papers produced by Felicity N. E. Gavins. 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 Felicity N. E. Gavins. The network helps show where Felicity N. E. Gavins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felicity N. E. Gavins, 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 | 2024 | 2 | |
| 2 | Annexins—a family of proteins with distinctive tastes for cell signaling and membrane dynamicsbreakdown → | 2024 | 53 |
| 3 | 2024 | 3 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 24 | |
| 13 | 2016 | 34 | |
| 14 | 2012 | 51 | |
| 15 | 2012 | 10 | |
| 16 | 2011 | 2 | |
| 17 | 2010 | 29 | |
| 18 | 2008 | 26 | |
| 19 | 2008 | 70 | |
| 20 | 2003 | 71 |
About Felicity N. E. Gavins
Felicity N. E. Gavins is a scholar working on Immunology, Neurology and Immunology and Allergy, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (33 papers), Immune Response and Inflammation (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Biomarkers in Disease Mechanisms (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Acute Ischemic Stroke Management (7 papers) and Cell Adhesion Molecules Research (7 papers). The work is most often cited by research in Immunology (1.2k citations), Neurology (338 citations) and Immunology and Allergy (187 citations). Felicity N. E. Gavins has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mauro Perretti, Roderick J. Flower, Paul M. Holloway, Junaid Ansari, Stephen J. Getting, Simon Yona, Michael J. Hickey, Julia C. Buckingham, Shantel Vital and Helen K. Smith. Their work appears in journals such as Circulation, Nature Communications and The Journal of Experimental Medicine.
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.