Sean Grant

110 papers receiving 2.7k citations

Peers

Sean Grant
Comparison fields: 5 of 156
  • Applied Psychology 151
  • Statistics, Probability and Uncertainty 193
  • Clinical Psychology 466
  • General Health Professions 511
  • Experimental and Cognitive Psychology 170
Replace Nahathai Wongpakaran with:
Nahathai Wongpakaran Thailand
Tinakon Wongpakaran Thailand
Jerald R. Herting United States
A. Lauren Crain United States
Geraldine Macdonald United Kingdom
Morwenna Rogers United Kingdom
Kate Williams Australia
Fiona C Warren United Kingdom
Sandra E. Ward United States
Skye Barbic Canada
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Citations per field
00.5×3.4×
Nahathai Wongpakaran · 1×
Citations per year

Countries citing papers authored by Sean Grant

Since Specialization
Citations

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

Fields of papers citing papers by Sean Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018227
2 2018196
3 2015161
4 2017128
5 2018118
6 2009106
7 201493
8 201379
9 201974
10 201370
11 201369
12 201755
13 201754
14 201952
15 201651
16 202251
17 201650
18 201148
19 202045
20 201942

About Sean Grant

Sean Grant is a scholar working on General Health Professions, Statistics, Probability and Uncertainty, Sociology and Political Science, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 118 papers that have together received 2.8k indexed citations. Recurring topics across this work include Health Policy Implementation Science (21 papers), Meta-analysis and systematic reviews (19 papers), Delphi Technique in Research (14 papers), Substance Abuse Treatment and Outcomes (10 papers), Mental Health and Patient Involvement (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Clinical practice guidelines implementation (9 papers) and Patient-Provider Communication in Healthcare (6 papers). The work is most often cited by research in Applied Psychology (151 citations), Statistics, Probability and Uncertainty (193 citations), Clinical Psychology (466 citations), General Health Professions (511 citations) and Experimental and Cognitive Psychology (170 citations). Sean Grant has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Evan Mayo‐Wilson, Paul Montgomery, Geraldine Macdonald, Sally Hopewell, David Moher, Susan Michie, Dmitry Khodyakov, Aneesa Motala, Emily E. Tanner‐Smith and Rajeev Ramchand. Their work appears in journals such as Campbell Systematic Reviews, Prevention Science, Journal of Addiction Medicine, PLoS ONE and Research Synthesis Methods.

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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