Catherine Will

28 papers receiving 346 citations

Peers

Catherine Will
Comparison fields: 5 of 96
  • Applied Microbiology and Biotechnology 19
  • Health Informatics 6
  • Pharmacy 19
  • General Health Professions 97
  • Human-Computer Interaction 20
Replace Kim Bercovitz with:
Kim Bercovitz Canada
Shelagh K. Genuis Canada
Nicole Isaacson United States
Josephine de Costa Australia
Nan Robertson United States
Christina Lachance United States
Sung‐Hee Ahn South Korea
Chris Carmona United Kingdom
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Catherine Will relative to Kim Bercovitz Canada Kim Bercovitz's profile →
Citations per field
00.5×4.3×
Kim Bercovitz · 1×
Citations per year

Countries citing papers authored by Catherine Will

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Catherine Will, 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 Catherine Will Line = papers co-authored together Catherine Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201832
2 201930
3 200729
4 200527
5 201421
6 202021
7 201419
8 201019
9
Medical Proofs, Social Experiments: Clinical Trials in Shifting Contexts
201217
10 202015
11 201613
12 202012
13 202012
14 200910
15 201110
16 20109
17 20209
18 20188
19 20117
20 20177

About Catherine Will

Catherine Will is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management, Economics and Econometrics and Genetics, having authored 30 papers that have together received 357 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Mental Health and Patient Involvement (5 papers), Global Public Health Policies and Epidemiology (5 papers), Innovative Human-Technology Interaction (4 papers), Pharmaceutical industry and healthcare (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Health Policy Implementation Science (2 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Health Informatics (6 citations), Pharmacy (19 citations), General Health Professions (97 citations) and Human-Computer Interaction (20 citations). Catherine Will has collaborated with scholars based in United Kingdom, United States and Qatar. Frequent co-authors include Kate Weiner, Flis Henwood, Ros Williams, Tiago Moreira, Theresa M. Marteau, David Armstrong, Helen Eborall, Deidra C. Crews, Andrew Wolfe and Katherine L. Wilson. Their work appears in journals such as Sociology of Health & Illness, Social Science & Medicine, Critical Public Health, BioSocieties and Information Communication & Society.

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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