Tim Chadborn

2.5k citations
57 papers · 1.5k · h-index 20

Impact in

Papers in

Tim Chadborn

57 papers receiving 1.5k citations

Peers

Tim Chadborn
Comparison fields: 5 of 126
  • Applied Microbiology and Biotechnology 248
  • Applied Psychology 162
  • General Health Professions 299
  • Infectious Diseases 182
  • General Decision Sciences 17
Replace Sarah Tonkin‐Crine with:
Sarah Tonkin‐Crine United Kingdom
Anna Sallis United Kingdom
Sibyl Anthierens Belgium
Vaman Kulkarni India
Reginald Deschepper Belgium
Aidin Aryankhesal Iran
Nicholas Drey United Kingdom
Jasmine R Marcelin United States
Seng Fah Tong Malaysia
Liam Donaldson United Kingdom
Tim Chadborn relative to Sarah Tonkin‐Crine United Kingdom Sarah Tonkin‐Crine's profile →
Citations per field
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Sarah Tonkin‐Crine · 1×
Citations per year

Countries citing papers authored by Tim Chadborn

Since Specialization
Citations

This map shows the geographic impact of Tim Chadborn'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 Tim Chadborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Chadborn more than expected).

Fields of papers citing papers by Tim Chadborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Chadborn. 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 Tim Chadborn. The network helps show where Tim Chadborn may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Chadborn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Chadborn Line = papers co-authored together Tim Chadborn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016309
2 2020172
3 201391
4 202069
5 201354
6 202148
7 201648
8 201644
9 202042
10 201938
11 202136
12 202036
13 201032
14 201530
15 202224
16 202123
17 202322
18 202122
19 202022
20 201922

About Tim Chadborn

Tim Chadborn is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Applied Microbiology and Biotechnology, Infectious Diseases and Applied Psychology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (12 papers), Health Promotion and Cardiovascular Prevention (8 papers), Behavioral Health and Interventions (6 papers), Patient Satisfaction in Healthcare (5 papers), Obesity, Physical Activity, Diet (4 papers), Mobile Health and mHealth Applications (4 papers), HIV/AIDS Research and Interventions (4 papers) and Health Policy Implementation Science (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (248 citations), Applied Psychology (162 citations), General Health Professions (299 citations), Infectious Diseases (182 citations) and General Decision Sciences (17 citations). Tim Chadborn has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Anna Sallis, Jamie Brown, Andy Jones, Daniel J. Berry, Dorothy Szinay, Felix Naughton, Michael Sanders, Sally C. Davies, Michael Hallsworth and Felix Greaves. Their work appears in journals such as BMC Public Health, Journal of Medical Internet Research, Antibiotics, BMJ Open and Preventive Medicine.

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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