David Johnston

5.3k citations
154 papers · 3.2k · h-index 31

Impact in

Papers in

David Johnston

144 papers receiving 3.0k citations

Peers

David Johnston
Comparison fields: 5 of 166
  • Health 466
  • General Health Professions 653
  • Gender Studies 162
  • Social Psychology 326
  • Demography 173
Replace Janet K. Shim with:
Janet K. Shim United States
Paul Spicer United States
Richard Reading United Kingdom
Joseph Murray Brazil
Jennifer B. Dowd United States
Yvonne Kelly United Kingdom
Nazeem Muhajarine Canada
Alan Barnard Australia
Julie Taylor United Kingdom
JM Johnston Hong Kong
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Citations per field
00.5×2.9×
Janet K. Shim · 1×
Citations per year

Countries citing papers authored by David Johnston

Since Specialization
Citations

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

Fields of papers citing papers by David Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009197
2 2002179
3 1965173
4 2014154
5 2014127
6 197485
7 201385
8 196685
9 200175
10 200866
11 201555
12 201355
13 201151
14
Complementary and alternative medicine use among colorectal cancer patients in Alberta, Canada.
200249
15 201348
16 201343
17 201541
18 200640
19 200339
20 201439

About David Johnston

David Johnston is a scholar working on General Health Professions, Health, Sociology and Political Science, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 154 papers that have together received 3.2k indexed citations. Recurring topics across this work include Health disparities and outcomes (31 papers), Global Health Care Issues (22 papers), Employment and Welfare Studies (16 papers), Psychological Well-being and Life Satisfaction (15 papers), Intergenerational and Educational Inequality Studies (10 papers), Hemispheric Asymmetry in Neuroscience (9 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers) and Gender, Labor, and Family Dynamics (6 papers). The work is most often cited by research in Health (466 citations), General Health Professions (653 citations), Gender Studies (162 citations), Social Psychology (326 citations) and Demography (173 citations). David Johnston has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Michael A. Shields, Paul Frijters, Suzanne Tough, Carol Propper, Nicole Au, Arthur Cleveland Bent, Grace Lordan, Nicole Black, Lawrence W. Svenson and Stefanie Schurer. Their work appears in journals such as Health Economics, Journal of Health Economics, Social Science & Medicine, Journal of Economic Behavior & Organization and Economics Letters.

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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