Luke C. Davies
- Immunology top 1%
- Immune cells in cancer 18
- Phagocytosis and Immune Regulation 6
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 2
- Biological Psychiatry top 10%
- Rehabilitation top 5%
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- Sphingolipid Metabolism and Signaling 3
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- Pregnancy and preeclampsia studies 2
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- COVID-19 Clinical Research Studies 2
- Co-authors
- Philip R. TaylorJudith E. AllenStephen J. JenkinsMarcela RosasSimon A. JonesDaniel W. McVicarDonald FraserChristopher M. Rice
- Cited by
- ImmunologyNeurologyCancer Research
- Journals
- Science (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Luke C. Davies
28 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 2.4k
- Neurology 351
- Cancer Research 340
- Biological Psychiatry 56
- Rehabilitation 126
Countries citing papers authored by Luke C. Davies
This map shows the geographic impact of Luke C. Davies'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 Luke C. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke C. Davies more than expected).
Fields of papers citing papers by Luke C. Davies
This network shows the impact of papers produced by Luke C. Davies. 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 Luke C. Davies. The network helps show where Luke C. Davies may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luke C. Davies, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 27 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 7 | |
| 6 | Nitric oxide orchestrates metabolic rewiring in M1 macrophages by targeting aconitase 2 and pyruvate dehydrogenasebreakdown → | 2020 | 316 |
| 7 | 2020 | 10 | |
| 8 | 2019 | 41 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 255 | |
| 11 | 2018 | 190 | |
| 12 | 2017 | 27 | |
| 13 | 2017 | 73 | |
| 14 | 2016 | 85 | |
| 15 | 2014 | 45 | |
| 16 | 2013 | 258 | |
| 17 | Tissue-resident macrophagesbreakdown → | 2013 | 1578 |
| 18 | 2011 | 173 | |
| 19 | 2011 | 65 | |
| 20 | 2010 | 26 |
About Luke C. Davies
Luke C. Davies is a scholar working on Neurology, Immunology and Obstetrics and Gynecology, having authored 28 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune cells in cancer (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Phagocytosis and Immune Regulation (6 papers), Sphingolipid Metabolism and Signaling (3 papers), Pregnancy and preeclampsia studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Immunology (2.4k citations), Neurology (351 citations) and Cancer Research (340 citations). Luke C. Davies has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Philip R. Taylor, Judith E. Allen, Stephen J. Jenkins, Marcela Rosas, Simon A. Jones, Daniel W. McVicar, Donald Fraser, Christopher M. Rice, Chia‐Te Liao and Jonathan M. Weiss. Their work appears in journals such as Science, Journal of Clinical Investigation and Nature Communications.
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.