Michael J. Penkunas

34 total papers · 419 total citations
25 papers, 277 citations indexed

About

Michael J. Penkunas is a scholar working on General Health Professions, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Michael J. Penkunas has authored 25 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 7 papers in Sociology and Political Science and 6 papers in Social Psychology. Recurrent topics in Michael J. Penkunas's work include Intergenerational Family Dynamics and Caregiving (5 papers), Hepatitis C virus research (5 papers) and Health Policy Implementation Science (4 papers). Michael J. Penkunas is often cited by papers focused on Intergenerational Family Dynamics and Caregiving (5 papers), Hepatitis C virus research (5 papers) and Health Policy Implementation Science (4 papers). Michael J. Penkunas collaborates with scholars based in United States, Rwanda and Singapore. Michael J. Penkunas's co-authors include Richard G. Coss, Jessica L. Yorzinski, Michael L. Platt, Angelique Chan, Pascal Launois, Dermot Maher, Bella Ross, Sabin Nsanzimana, Janvier Serumondo and Clarisse Musanabaganwa and has published in prestigious journals such as Nature, Clinical Infectious Diseases and Journal of Hepatology.

In The Last Decade

Michael J. Penkunas

25 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Penkunas 95 81 49 40 37 25 277
Lijun Zhou 39 0.4× 50 0.6× 43 0.9× 12 0.3× 19 0.5× 23 299
Theodora Consolacion 195 2.1× 44 0.5× 4 0.1× 60 1.5× 12 0.3× 13 312
Katherine R. Thorson 118 1.2× 32 0.4× 6 0.1× 51 1.3× 12 0.3× 22 296
Ilaria Giovannelli 63 0.7× 30 0.4× 11 0.2× 19 0.5× 22 0.6× 29 297
Janet P. Trammell 68 0.7× 72 0.9× 7 0.1× 16 0.4× 20 0.5× 23 302
Natalie Roberts 32 0.3× 40 0.5× 28 0.6× 38 0.9× 18 0.5× 25 204
Sarah E. Dunn 75 0.8× 35 0.4× 11 0.2× 53 1.3× 40 1.1× 25 319
Ralph D. Norman 97 1.0× 33 0.4× 8 0.2× 59 1.5× 14 0.4× 33 328
Jordane Boudesseul 59 0.6× 38 0.5× 9 0.2× 44 1.1× 29 0.8× 15 273
Karen Williams 30 0.3× 57 0.7× 6 0.1× 31 0.8× 16 0.4× 19 287

Countries citing papers authored by Michael J. Penkunas

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Penkunas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Penkunas. 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 Michael J. Penkunas. The network helps show where Michael J. Penkunas may publish in the future.

Co-authorship network of co-authors of Michael J. Penkunas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Penkunas. A scholar is included among the top collaborators of Michael J. Penkunas 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 Michael J. Penkunas. Michael J. Penkunas 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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