Daniel Todkill
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
- Epidemiology 15
- Data-Driven Disease Surveillance 11
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- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Sian Taylor‐Phillips (4 shared papers)Aileen Clarke (4 shared papers)Julia Geppert (3 shared papers)Samantha Johnson (1 shared paper)Karoline Freeman (1 shared paper)Louise Hartley (2 shared papers)Karen Rees (2 shared papers)Nadine Flowers (2 shared papers)
- Journals
- Epidemiology and Infection (6 papers)British Journal of General Practice (4 papers)Eurosurveillance (2 papers)BMJ Open (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Daniel Todkill
41 papers receiving 613 citations
Daniel Todkill's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 62
- Ophthalmology 56
- Radiology, Nuclear Medicine and Imaging 130
- Parasitology 25
- Artificial Intelligence 124
Countries citing papers authored by Daniel Todkill
This map shows the geographic impact of Daniel Todkill'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 Todkill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Todkill more than expected).
Fields of papers citing papers by Daniel Todkill
This network shows the impact of papers produced by Daniel Todkill. 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 Todkill. The network helps show where Daniel Todkill may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Todkill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy Hit paper breakdown → | 2021 | 199 |
| 2 | 2015 | 60 | |
| 3 | 2014 | 51 | |
| 4 | 2020 | 33 | |
| 5 | 2015 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2021 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2013 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2014 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2023 | 8 |
About Daniel Todkill
Daniel Todkill is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Endocrinology and General Health Professions, having authored 45 papers that have together received 627 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), COVID-19 epidemiological studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Escherichia coli research studies (3 papers), Antibiotic Use and Resistance (3 papers), Retinal Imaging and Analysis (2 papers), Streptococcal Infections and Treatments (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Health Informatics (62 citations), Ophthalmology (56 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Parasitology (25 citations) and Artificial Intelligence (124 citations). Daniel Todkill has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Sian Taylor‐Phillips, Aileen Clarke, Julia Geppert, Samantha Johnson, Karoline Freeman, Louise Hartley, Karen Rees, Nadine Flowers, Jeremy Hawker and Saran Shantikumar. Their work appears in journals such as Epidemiology and Infection, British Journal of General Practice, Eurosurveillance, BMJ Open and PLoS ONE.
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.