Thomas Starkey
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in ⓘ
- Oncology 7
- COVID-19 and healthcare impacts 5
- Colorectal Cancer Treatments and Studies 1
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Lennard Y. W. Lee (9 shared papers)Alex Richter (1 shared paper)Antonio Pagliuca (1 shared paper)Ian Tomlinson (1 shared paper)Sujata Biswas (1 shared paper)Stefania Segditsas (1 shared paper)Michaël Tilby (2 shared papers)Chiara Bardella (1 shared paper)
- Journals
- British Journal of Cancer (2 papers)Clinical Cancer Research (1 paper)British Journal of Haematology (1 paper)Cancer Epidemiology (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Thomas Starkey
10 papers receiving 158 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 93
- Modeling and Simulation 8
- Oncology 31
- Immunology 21
- Biomedical Engineering 37
Countries citing papers authored by Thomas Starkey
This map shows the geographic impact of Thomas Starkey'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 Thomas Starkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Starkey more than expected).
Fields of papers citing papers by Thomas Starkey
This network shows the impact of papers produced by Thomas Starkey. 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 Thomas Starkey. The network helps show where Thomas Starkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Starkey, 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 | 73 | |
| 2 | 2018 | 24 | |
| 3 | 2023 | 23 | |
| 4 | 2022 | 14 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 6 | |
| 7 | COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study | 2020 | 4 |
| 8 | 2020 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2021 | 1 |
About Thomas Starkey
Thomas Starkey is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 159 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Genetic factors in colorectal cancer (2 papers), SARS-CoV-2 detection and testing (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Infectious Diseases (93 citations), Modeling and Simulation (8 citations), Oncology (31 citations), Immunology (21 citations) and Biomedical Engineering (37 citations). Thomas Starkey has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Lennard Y. W. Lee, Alex Richter, Antonio Pagliuca, Ian Tomlinson, Sujata Biswas, Stefania Segditsas, Michaël Tilby, Chiara Bardella, Shazia Irshad and Gary Middleton. Their work appears in journals such as British Journal of Cancer, Clinical Cancer Research, British Journal of Haematology, Cancer Epidemiology and BMC 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.