David K. Finlay
- Immunology top 0.2%
- Immune Cell Function and Interaction 44
- T-cell and B-cell Immunology 26
- Immune cells in cancer 16
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 5
- Oncology top 2%
- CAR-T cell therapy research 4
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 11
- Metabolism, Diabetes, and Cancer 8
- Genomics, phytochemicals, and oxidative stress 3
- Co-authors
- Doreen A. CantrellRóisín M. LoftusClair M. GardinerKatie O’BrienLinda V. SinclairRaymond P. DonnellyNidhi Kedia-MehtaVanessa Zaiatz-Bittencourt
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Nature Communications (7 papers)The Journal of Immunology (6 papers)Frontiers in Immunology (5 papers)
- Partner nations
- IrelandUnited KingdomCanada
In The Last Decade
David K. Finlay
63 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 4.8k
- Cancer Research 1.2k
- Oncology 1.5k
- Biological Psychiatry 129
- Molecular Biology 2.2k
Countries citing papers authored by David K. Finlay
This map shows the geographic impact of David K. Finlay'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 David K. Finlay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Finlay more than expected).
Fields of papers citing papers by David K. Finlay
This network shows the impact of papers produced by David K. Finlay. 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 David K. Finlay. The network helps show where David K. Finlay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David K. Finlay, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 40 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 109 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 52 | |
| 9 | 2021 | 135 | |
| 10 | 2019 | 208 | |
| 11 | Metabolic reprogramming of natural killer cells in obesity limits antitumor responsesbreakdown → | 2018 | 448 |
| 12 | 2017 | 33 | |
| 13 | 2017 | 90 | |
| 14 | 2015 | 341 | |
| 15 | 2013 | 191 | |
| 16 | 2011 | 16 | |
| 17 | 2011 | 216 | |
| 18 | 2009 | 67 | |
| 19 | 2006 | 28 | |
| 20 | 2006 | 8 |
About David K. Finlay
David K. Finlay is a scholar working on Immunology, Biological Psychiatry and Molecular Biology, having authored 64 papers that have together received 7.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (44 papers), T-cell and B-cell Immunology (26 papers), Immune cells in cancer (16 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Metabolism, Diabetes, and Cancer (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), CAR-T cell therapy research (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Immunology (4.8k citations), Cancer Research (1.2k citations) and Oncology (1.5k citations). David K. Finlay has collaborated with scholars based in Ireland, United Kingdom and Canada. Frequent co-authors include Doreen A. Cantrell, Róisín M. Loftus, Clair M. Gardiner, Katie O’Brien, Linda V. Sinclair, Raymond P. Donnelly, Nidhi Kedia-Mehta, Vanessa Zaiatz-Bittencourt, Klaus Okkenhaug and Sinéad E. Keating. Their work appears in journals such as Nature Communications, The Journal of Immunology, Frontiers in Immunology, European Journal of Immunology and Nature Immunology.
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.