Megan Coffman

34 total papers · 709 total citations
29 papers, 454 citations indexed

About

Megan Coffman is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Megan Coffman has authored 29 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 16 papers in Public Health, Environmental and Occupational Health and 8 papers in Economics and Econometrics. Recurrent topics in Megan Coffman's work include Primary Care and Health Outcomes (10 papers), Telemedicine and Telehealth Implementation (8 papers) and Healthcare Policy and Management (6 papers). Megan Coffman is often cited by papers focused on Primary Care and Health Outcomes (10 papers), Telemedicine and Telehealth Implementation (8 papers) and Healthcare Policy and Management (6 papers). Megan Coffman collaborates with scholars based in United States, Australia and New Zealand. Megan Coffman's co-authors include Andrew Bazemore, Miranda A. Moore, Anuradha Jetty, Stephen Petterson, Yalda Jabbarpour, Elizabeth Wilkinson, Stephen Petterson, Felicity Goodyear‐Smith, Michael Kidd and Chris van Weel and has published in prestigious journals such as Journal of the American Medical Informatics Association, The Annals of Family Medicine and Telemedicine Journal and e-Health.

In The Last Decade

Megan Coffman

29 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Megan Coffman 242 230 75 64 51 29 454
João Nunes 168 0.7× 98 0.4× 20 0.3× 64 1.0× 60 1.2× 29 537
Abi Sriharan 302 1.2× 197 0.9× 71 0.9× 49 0.8× 44 0.9× 35 540
Liubovė Murauskienė 248 1.0× 76 0.3× 63 0.8× 137 2.1× 15 0.3× 37 529
Stuart Henderson 260 1.1× 99 0.4× 57 0.8× 63 1.0× 16 0.3× 34 549
Justin M. List 195 0.8× 80 0.3× 33 0.4× 32 0.5× 37 0.7× 26 476
James K. Elrod 173 0.7× 77 0.3× 56 0.7× 61 1.0× 43 0.8× 29 536
Michelle McIsaac 171 0.7× 59 0.3× 91 1.2× 77 1.2× 14 0.3× 11 493
Nabil Natafgi 254 1.0× 168 0.7× 48 0.6× 61 1.0× 81 1.6× 39 540
José Tomás Mateos 170 0.7× 61 0.3× 64 0.9× 58 0.9× 12 0.2× 22 489
Che-Ming Yang 258 1.1× 141 0.6× 15 0.2× 46 0.7× 20 0.4× 16 505

Countries citing papers authored by Megan Coffman

Since Specialization
Citations

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

Fields of papers citing papers by Megan Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Coffman

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Coffman. A scholar is included among the top collaborators of Megan Coffman 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 Megan Coffman. Megan Coffman 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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