Daniel Todkill

68 total papers · 1.0k total citations
43 papers, 574 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 574 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), Viral gastroenteritis research and epidemiology (4 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Daniel Todkill is often cited by papers focused on Data-Driven Disease Surveillance (11 papers), Viral gastroenteritis research and epidemiology (4 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Daniel Todkill collaborates with scholars based in United Kingdom, Ireland and Sweden. Daniel Todkill's co-authors include Aileen Clarke, Sian Taylor‐Phillips, Julia Geppert, Chris Stinton, Karoline Freeman, Samantha Johnson, 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 560 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Todkill	188	134	86	71	61	43	574
Guglielmo Arzilli	130 0.7×	195 1.5×	312 3.6×	61 0.9×	55 0.9×	26	643
Julie Chi Chow	43 0.2×	47 0.4×	52 0.6×	55 0.8×	37 0.6×	51	546
Faisal A. Nawaz	37 0.2×	37 0.3×	56 0.7×	47 0.7×	68 1.1×	73	639
Amy M. Sitapati	36 0.2×	50 0.4×	52 0.6×	245 3.5×	85 1.4×	33	629
Jae Min	54 0.3×	131 1.0×	57 0.7×	60 0.8×	64 1.0×	24	535
Hadi Kazemi-Arpanahi	205 1.1×	150 1.1×	37 0.4×	59 0.8×	68 1.1×	71	594
Mostafa Shanbehzadeh	191 1.0×	143 1.1×	33 0.4×	51 0.7×	54 0.9×	56	519
Lu-Cheng Kuo	42 0.2×	63 0.5×	14 0.2×	116 1.6×	42 0.7×	33	645
Aikaterini Sakagianni	58 0.3×	74 0.6×	44 0.5×	115 1.6×	27 0.4×	35	579
Fatimah Alshahrani	43 0.2×	39 0.3×	77 0.9×	118 1.7×	30 0.5×	36	624

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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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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