Daniel Davies
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- T-cell and B-cell Immunology 1
- Immune responses and vaccinations 1
-
- Cervical Cancer and HPV Research 5
- Hepatitis B Virus Studies 1
- Co-authors
- Andrew Hayward (3 shared papers)Laura Shallcross (3 shared papers)Aidan Irwin-Singer (3 shared papers)Andrew Copas (3 shared papers)Tom Palmer (3 shared papers)Maria Krutikov (3 shared papers)Madhumita Shrotri (3 shared papers)Gokhan Tut (3 shared papers)
- Journals
- Journal of General Virology (2 papers)The Lancet Healthy Longevity (1 paper)European Journal of Immunology (1 paper)The Lancet Infectious Diseases (1 paper)Nature Cancer (1 paper)
- Partner nations
- United KingdomGermanyDenmark
In The Last Decade
Daniel Davies
12 papers receiving 317 citations
Peers
Comparison fields: 5 of 46
- Modeling and Simulation 44
- Infectious Diseases 129
- Health 54
- Immunology 106
- Virology 10
Countries citing papers authored by Daniel Davies
This map shows the geographic impact of Daniel 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 Daniel Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Davies more than expected).
Fields of papers citing papers by Daniel Davies
This network shows the impact of papers produced by Daniel 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 Daniel Davies. The network helps show where Daniel Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | 2021 | 121 | |
| 2 | 2021 | 38 | |
| 3 | Human cytotoxic T lymphocytes stimulated by endogenously processed human papillomavirus type 11 E7 recognize a peptide containing a HLA-A2 (A*0201) motif. | 1994 | 34 |
| 4 | 2024 | 29 | |
| 5 | 1991 | 24 | |
| 6 | 1992 | 21 | |
| 7 | 1990 | 16 | |
| 8 | 2021 | 11 | |
| 9 | Cancer of the cervix: prospects for immunological control. | 1991 | 10 |
| 10 | 1999 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2000 | 3 |
About Daniel Davies
Daniel Davies is a scholar working on Immunology, Epidemiology, Infectious Diseases, Oncology and Molecular Biology, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Poxvirus research and outbreaks (1 paper), Hepatitis B Virus Studies (1 paper), T-cell and B-cell Immunology (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Modeling and Simulation (44 citations), Infectious Diseases (129 citations), Health (54 citations), Immunology (106 citations) and Virology (10 citations). Daniel Davies has collaborated with scholars based in United Kingdom, Germany and Denmark. Frequent co-authors include Andrew Hayward, Laura Shallcross, Aidan Irwin-Singer, Andrew Copas, Tom Palmer, Maria Krutikov, Madhumita Shrotri, Gokhan Tut, Benny Chain and Paul Moss. Their work appears in journals such as Journal of General Virology, The Lancet Healthy Longevity, European Journal of Immunology, The Lancet Infectious Diseases and Nature Cancer.
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.