Tim Chadborn

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

Impact in

Papers in

Tim Chadborn

55 papers receiving 1.5k citations

Peers

Tim Chadborn
Comparison fields: 5 of 124
  • Applied Microbiology and Biotechnology 243
  • Applied Psychology 160
  • General Health Professions 288
  • Infectious Diseases 181
  • General Decision Sciences 17
Replace Rolf Wahlström with:
Rolf Wahlström Sweden
Anna Sallis United Kingdom
Sibyl Anthierens Belgium
Reginald Deschepper Belgium
Vaman Kulkarni India
Nicholas Drey United Kingdom
Seng Fah Tong Malaysia
Aidin Aryankhesal Iran
Jasmine R Marcelin United States
Nithin Kumar India
Tim Chadborn relative to Rolf Wahlström Sweden Rolf Wahlström's profile →
Citations per field
00.5×10×13×
Rolf Wahlström · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016301
2 2020170
3 201390
4 202068
5 201352
6 202148
7 201648
8 201644
9 202041
10 201937
11 202036
12 202134
13 201032
14 201530
15 202223
16 202123
17 202322
18 202022
19 201922
20 202121

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 55 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 (243 citations), Applied Psychology (160 citations), General Health Professions (288 citations), Infectious Diseases (181 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, Dorothy Szinay, Felix Naughton, Andy Jones, Daniel J. Berry, Michael Sanders, Felix Greaves, Michael Hallsworth and Sally C. Davies. Their work appears in journals such as BMC Public Health, Journal of Medical Internet Research, Antibiotics, BMJ Open and The Lancet.

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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