Kay McNamee
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 2
- Immunology top 10%
- T-cell and B-cell Immunology 5
- Psoriasis: Treatment and Pathogenesis 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Hematology top 10%
- Pharmacology top 10%
- Inflammatory mediators and NSAID effects 2
-
- Pain Mechanisms and Treatments 2
-
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Richard WilliamsJulia J. InglisSaba AlzabinFiona E. McCannMarc FeldmannMichael SeedClare A. NotleyTonia L. Vincent
- Cited by
- RheumatologyImmunologyHematology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Pain (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomTaiwanUnited States
In The Last Decade
Kay McNamee
14 papers receiving 894 citations
Peers
Comparison fields: 5 of 89
- Rheumatology 345
- Immunology 412
- Hematology 87
- Pharmacology 108
- Physiology 146
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-authorship network
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 | 2021 | 25 | |
| 2 | 2019 | 64 | |
| 3 | 2016 | 46 | |
| 4 | 2015 | 83 | |
| 5 | 2014 | 33 | |
| 6 | 2013 | 34 | |
| 7 | 2012 | 122 | |
| 8 | 2011 | 21 | |
| 9 | 2011 | 53 | |
| 10 | 2011 | 44 | |
| 11 | 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 |
| 12 | 2010 | 119 | |
| 13 | 2008 | 167 | |
| 14 | 2008 | 97 |
About Kay McNamee
Kay McNamee is a scholar working on Complementary and Manual Therapy, Immunology, Physiology, Oncology and Pharmacology, having authored 14 papers that have together received 909 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Immune Cell Function and Interaction (3 papers), Pain Mechanisms and Treatments (2 papers), Immune Response and Inflammation (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Rheumatology (345 citations), Immunology (412 citations), Hematology (87 citations), Pharmacology (108 citations) and Physiology (146 citations). Kay McNamee has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Richard Williams, Julia J. Inglis, Saba Alzabin, Fiona E. McCann, Marc Feldmann, Michael Seed, Clare A. Notley, Tonia L. Vincent, Felix I. L. Clanchy and Yi-Shu Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Pain, PLoS ONE, Annals of the Rheumatic Diseases 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.