Daniel Davies
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
-
- Cervical Cancer and HPV Research 5
- Co-authors
- Laura Shallcross (3 shared papers)Gokhan Tut (3 shared papers)Andrew Copas (3 shared papers)Aidan Irwin-Singer (3 shared papers)Andrew Hayward (3 shared papers)Maria Krutikov (3 shared papers)Tom Palmer (3 shared papers)Madhumita Shrotri (3 shared papers)
- Journals
- Journal of General Virology (2 papers)Journal of Allergy and Clinical Immunology (1 paper)The Lancet Healthy Longevity (1 paper)Virology (1 paper)The Lancet Infectious Diseases (1 paper)
- Partner nations
- United KingdomCroatiaSpain
In The Last Decade
Daniel Davies
12 papers receiving 306 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 65
- Health 71
- Infectious Diseases 140
- Immunology 108
- 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 | 120 | |
| 2 | 2021 | 36 | |
| 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 | 30 |
| 4 | 2024 | 25 | |
| 5 | 1991 | 24 | |
| 6 | 1992 | 21 | |
| 7 | 1990 | 16 | |
| 8 | 2021 | 11 | |
| 9 | 1999 | 9 | |
| 10 | Cancer of the cervix: prospects for immunological control. | 1991 | 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 312 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Immunotherapy and Immune Responses (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Poxvirus research and outbreaks (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (65 citations), Health (71 citations), Infectious Diseases (140 citations), Immunology (108 citations) and Virology (10 citations). Daniel Davies has collaborated with scholars based in United Kingdom, Croatia and Spain. Frequent co-authors include Laura Shallcross, Gokhan Tut, Andrew Copas, Aidan Irwin-Singer, Andrew Hayward, Maria Krutikov, Tom Palmer, Madhumita Shrotri, Paul Moss and Benny Chain. Their work appears in journals such as Journal of General Virology, Journal of Allergy and Clinical Immunology, The Lancet Healthy Longevity, Virology and The Lancet Infectious 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.