Stephen Davies

53 total papers · 1.0k total citations
27 papers, 376 citations indexed

About

Stephen Davies is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Stephen Davies has authored 27 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Economics and Econometrics. Recurrent topics in Stephen Davies's work include Primary Care and Health Outcomes (9 papers), Health and Medical Research Impacts (6 papers) and Global Health Workforce Issues (4 papers). Stephen Davies is often cited by papers focused on Primary Care and Health Outcomes (9 papers), Health and Medical Research Impacts (6 papers) and Global Health Workforce Issues (4 papers). Stephen Davies collaborates with scholars based in United Kingdom, United States and Hong Kong. Stephen Davies's co-authors include Marnie Purciel, Andrew Rundle, James W. Quinn, Kathryn M. Neckerman, Gina S. Lovasi, Alastair M. Buchan, Pavel V. Ovseiko, Lawrence W.C. Lai, Frank T. Lorne and Catherine O’Sullivan and has published in prestigious journals such as Academic Medicine, BMC Health Services Research and Journal of Public Health Policy.

In The Last Decade

Stephen Davies

24 papers receiving 354 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Davies 130 88 87 81 76 27 376
Allison Liebhaber 49 0.4× 159 1.8× 37 0.4× 83 1.0× 67 0.9× 12 342
Marie-Jeanne Aarts 130 1.0× 101 1.1× 157 1.8× 25 0.3× 74 1.0× 12 377
Alison Chisholm 147 1.1× 82 0.9× 66 0.8× 24 0.3× 38 0.5× 16 375
Katherine Bartley 135 1.0× 72 0.8× 138 1.6× 13 0.2× 72 0.9× 19 437
Alba Cebrecos 156 1.2× 73 0.8× 112 1.3× 30 0.4× 133 1.8× 13 413
Ayodeji Iyanda 79 0.6× 90 1.0× 55 0.6× 60 0.7× 43 0.6× 44 418
Greg S. Dana 136 1.0× 88 1.0× 54 0.6× 21 0.3× 30 0.4× 12 434
Maruí Weber Corseuil Giehl 86 0.7× 116 1.3× 97 1.1× 15 0.2× 37 0.5× 27 416
Jaewoong Won 204 1.6× 45 0.5× 41 0.5× 50 0.6× 138 1.8× 18 422
Josephine Gittler 42 0.3× 156 1.8× 43 0.5× 51 0.6× 21 0.3× 28 396

Countries citing papers authored by Stephen Davies

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Davies. A scholar is included among the top collaborators of Stephen Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Davies. Stephen Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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