Daniel Todkill

1.0k total citations
43 papers, 585 citations indexed

About

Daniel Todkill is a scholar working on Epidemiology, General Health Professions and Infectious Diseases. According to data from OpenAlex, Daniel Todkill has authored 43 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in General Health Professions and 7 papers in Infectious Diseases. Recurrent topics in Daniel Todkill's work include Data-Driven Disease Surveillance (11 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). Daniel Todkill is often cited by papers focused on Data-Driven Disease Surveillance (11 papers), Pharmaceutical Practices and Patient Outcomes (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). Daniel Todkill collaborates with scholars based in United Kingdom, Ireland and Australia. Daniel Todkill's co-authors include Aileen Clarke, Sian Taylor‐Phillips, Julia Geppert, Samantha Johnson, Chris Stinton, Karoline Freeman, Karen Rees, Nadine Flowers, Louise Hartley and Jeremy Hawker and has published in prestigious journals such as The Lancet, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Daniel Todkill

40 papers receiving 570 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Todkill United Kingdom	13	192	136	88	71	61	43	585
Sajaysurya Ganesh United Kingdom	4	122 0.6×	54 0.4×	13 0.1×	102 1.4×	48 0.8×	10	886
Julie Domen Belgium	4	116 0.6×	32 0.2×	13 0.1×	77 1.1×	27 0.4×	7	777
Jeffrey P. Ferraro United States	14	56 0.3×	145 1.1×	61 0.7×	246 3.5×	111 1.8×	33	729
Michael Chary United States	12	34 0.2×	50 0.4×	28 0.3×	81 1.1×	59 1.0×	25	464
Yanbing Ding China	7	76 0.4×	28 0.2×	8 0.1×	51 0.7×	31 0.5×	12	766
Laura Morgan United States	11	39 0.2×	77 0.6×	10 0.1×	184 2.6×	176 2.9×	20	798
Bogdan Doroftei Romania	15	61 0.3×	15 0.1×	14 0.2×	50 0.7×	95 1.6×	73	747
Tavpritesh Sethi India	13	58 0.3×	28 0.2×	26 0.3×	94 1.3×	118 1.9×	27	827
Byron Crowe United States	7	80 0.4×	118 0.9×	200 2.3×	134 1.9×	204 3.3×	16	534
Yanjun Zhong China	10	99 0.5×	31 0.2×	8 0.1×	169 2.4×	42 0.7×	22	1.2k

Countries citing papers authored by Daniel Todkill

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Todkill

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Todkill. A scholar is included among the top collaborators of Daniel Todkill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Todkill. Daniel Todkill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Geppert, Julia, Peter Auguste, Hesam Ghiasvand, et al.. (2025). Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation. Health Technology Assessment. 29(14). 1–234. 3 indexed citations

Smith, Sue, Megan Bardsley, Paul Loveridge, et al.. (2025). Trends in general practitioner consultations for hand foot and mouth disease in England between 2017 and 2022. Epidemiology and Infection. 153. e22–e22. 3 indexed citations

Morbey, Roger, et al.. (2024). Using a novel ‘difference-in-differences’ method and syndromic surveillance to estimate the change in local healthcare utilisation during periods of media reporting in the early stages of the COVID-19 pandemic in England. Public Health. 232. 132–137. 2 indexed citations

Elson, William H., Cecilia Okusi, Rachel Byford, et al.. (2024). Validation of an acute respiratory infection phenotyping algorithm to support robust computerised medical record-based respiratory sentinel surveillance, England, 2023. Eurosurveillance. 29(35).

Elliot, Alex J., Helen E. Hughes, Sally Harcourt, et al.. (2024). From Fax to Secure File Transfer Protocol: The 25-Year Evolution of Real-Time Syndromic Surveillance in England. Journal of Medical Internet Research. 26. e58704–e58704. 1 indexed citations

Todkill, Daniel, Theresa Lamagni, Richard Pebody, et al.. (2024). Persistent elevation in incidence of pneumonia in children in England, 2023/24. Eurosurveillance. 29(32). 4 indexed citations

Ayorinde, Abimbola, Junaid R Shaikh, Victoria O. Adetunji, et al.. (2024). Improving healthcare professionals’ interactions with patients to tackle antimicrobial resistance: a systematic review of interventions, barriers, and facilitators. Frontiers in Public Health. 12. 1359790–1359790. 3 indexed citations

Geppert, Julia, Emma Helm, Daniel Todkill, et al.. (2024). Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies. Thorax. 79(11). 1040–1049. 15 indexed citations

Cavallaro, Massimo, Louise Dyson, Michael J. Tildesley, Daniel Todkill, & Matt J. Keeling. (2023). Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis. Journal of The Royal Society Interface. 20(208). 20230410–20230410. 1 indexed citations

10.

Morbey, Roger, et al.. (2023). DiD IT?: a differences-in-differences investigation tool to quantify the impact of local incidents on public health using real-time syndromic surveillance health data. Epidemiology and Infection. 151. e56–e56. 1 indexed citations

11.

Morbey, Roger, Daniel Todkill, Conall Watson, & Alex J. Elliot. (2023). Machine learning forecasts for seasonal epidemic peaks: Lessons learnt from an atypical respiratory syncytial virus season. PLoS ONE. 18(9). e0291932–e0291932.

12.

Bardsley, Megan, Paul Loveridge, Sue Smith, et al.. (2023). The Epidemiology of Chickenpox in England, 2016–2022: An Observational Study Using General Practitioner Consultations. Viruses. 15(11). 2163–2163. 7 indexed citations

13.

Smith, Sue, Paul Loveridge, Roger Morbey, et al.. (2023). New developments and expansion of the GP in-hours syndromic surveillance system: collaboration between UKHSA and the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub. British Journal of General Practice. 73(suppl 1). bjgp23X734289–bjgp23X734289. 1 indexed citations

14.

Loveridge, Paul, Roger Morbey, Daniel Todkill, et al.. (2022). The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England. International Journal of Environmental Research and Public Health. 19(7). 3876–3876. 3 indexed citations

15.

Elliot, Alex J., Helen E. Hughes, Roger Morbey, et al.. (2021). Spike in Asthma Healthcare Presentations in Eastern England during June 2021: A Retrospective Observational Study Using Syndromic Surveillance Data. International Journal of Environmental Research and Public Health. 18(23). 12353–12353. 5 indexed citations

16.

Todkill, Daniel, Felipe J. Colón‐González, Roger Morbey, et al.. (2020). Environmental factors associated with general practitioner consultations for allergic rhinitis in London, England: a retrospective time series analysis. BMJ Open. 10(12). e036724–e036724. 9 indexed citations

17.

Todkill, Daniel, Tom Fowler, & Jeremy Hawker. (2018). Estimating the incubation period of acute Q fever, a systematic review. Epidemiology and Infection. 146(6). 665–672. 25 indexed citations

18.

Todkill, Daniel, Paul Loveridge, Alex J. Elliot, et al.. (2017). Socioeconomic and geographical variation in general practitioner consultations for allergic rhinitis in England, 2003–2014: an observational study. BMJ Open. 7(8). e017038–e017038. 7 indexed citations

19.

Todkill, Daniel, Alex J. Elliot, Roger Morbey, et al.. (2016). What is the utility of using syndromic surveillance systems during large subnational infectious gastrointestinal disease outbreaks? An observational study using case studies from the past 5 years in England. Epidemiology and Infection. 144(11). 2241–2250. 11 indexed citations

20.

Taylor‐Phillips, Sian, Hema Mistry, Daniel Todkill, et al.. (2015). Extending the diabetic retinopathy screening interval beyond 1 year: systematic review. British Journal of Ophthalmology. 100(1). 105–114. 58 indexed citations

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.

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