Kay McNamee
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Osteoarthritis Treatment and Mechanisms
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
Papers in
-
- T-cell and B-cell Immunology 3
- Psoriasis: Treatment and Pathogenesis 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Richard Williams (12 shared papers)Julia J. Inglis (4 shared papers)Fiona E. McCann (5 shared papers)Saba Alzabin (3 shared papers)Marc Feldmann (6 shared papers)Clare A. Notley (1 shared paper)Michael Seed (1 shared paper)Tonia L. Vincent (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Pain (2 papers)PLoS ONE (2 papers)Cytokine (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomTaiwanUnited States
In The Last Decade
Kay McNamee
14 papers receiving 922 citations
Peers
Comparison fields: 5 of 84
- Rheumatology 286
- Immunology 363
- Hematology 64
- Behavioral Neuroscience 17
- Physiology 115
Countries citing papers authored by Kay McNamee
This map shows the geographic impact of Kay McNamee'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 Kay McNamee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay McNamee more than expected).
Fields of papers citing papers by Kay McNamee
This network shows the impact of papers produced by Kay McNamee. 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 Kay McNamee. The network helps show where Kay McNamee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay McNamee, 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 | 2008 | 173 | |
| 2 | 2010 | 124 | |
| 3 | 2012 | 123 | |
| 4 | 2008 | 100 | |
| 5 | 2015 | 84 | |
| 6 | 2019 | 68 | |
| 7 | 2011 | 54 | |
| 8 | 2016 | 49 | |
| 9 | 2011 | 44 | |
| 10 | 2013 | 37 | |
| 11 | 2014 | 34 | |
| 12 | 2021 | 27 | |
| 13 | 2011 | 21 | |
| 14 | Inhibitor of Kappa B Epsilon (I kappa B epsilon) Is a Non-Redundant Regulator of c-Rel-Dependent Gene Expression in Murine T and B Cells | 2011 | 1 |
About Kay McNamee
Kay McNamee is a scholar working on Immunology, Oncology, Molecular Biology, Pharmacology and Rheumatology, having authored 14 papers that have together received 939 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), T-cell and B-cell Immunology (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (2 papers), Immune Response and Inflammation (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Rheumatology (286 citations), Immunology (363 citations), Hematology (64 citations), Behavioral Neuroscience (17 citations) and Physiology (115 citations). Kay McNamee has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Richard Williams, Julia J. Inglis, Fiona E. McCann, Saba Alzabin, Marc Feldmann, Clare A. Notley, Michael Seed, Tonia L. Vincent, Wen-Yi Tseng and Felix I. L. Clanchy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Pain, PLoS ONE, Cytokine and Annals of the Rheumatic Diseases.
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.