Nina A. Cooperman

53 total papers · 1.7k total citations
42 papers, 1.2k citations indexed

About

Nina A. Cooperman is a scholar working on Epidemiology, Physiology and Infectious Diseases. According to data from OpenAlex, Nina A. Cooperman has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 13 papers in Physiology and 12 papers in Infectious Diseases. Recurrent topics in Nina A. Cooperman's work include Smoking Behavior and Cessation (13 papers), HIV/AIDS Research and Interventions (12 papers) and Substance Abuse Treatment and Outcomes (11 papers). Nina A. Cooperman is often cited by papers focused on Smoking Behavior and Cessation (13 papers), HIV/AIDS Research and Interventions (12 papers) and Substance Abuse Treatment and Outcomes (11 papers). Nina A. Cooperman collaborates with scholars based in United States, India and Vietnam. Nina A. Cooperman's co-authors include Jane M. Simoni, Julia H. Arnsten, Jill M. Williams, Shadi Nahvi, Marc L. Steinberg, Anna Kline, Eric L. Garland, Adam W. Hanley, Robert S. Klein and Steven L. Bernstein and has published in prestigious journals such as American Journal of Public Health, Neuropsychopharmacology and Journal of General Internal Medicine.

In The Last Decade

Nina A. Cooperman

39 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Nina A. Cooperman 351 325 323 321 315 42 1.2k
Megan M. Pinkston 166 0.5× 325 1.0× 332 1.0× 478 1.5× 433 1.4× 45 1.3k
Shadi Nahvi 328 0.9× 178 0.5× 584 1.8× 201 0.6× 282 0.9× 45 1.3k
Charles J. Neighbors 433 1.2× 612 1.9× 430 1.3× 97 0.3× 493 1.6× 66 1.4k
Carmen L. Masson 192 0.5× 235 0.7× 726 2.2× 154 0.5× 458 1.5× 54 1.3k
Hemraj Pal 92 0.3× 346 1.1× 535 1.7× 197 0.6× 230 0.7× 15 1.3k
Anika Alvanzo 89 0.3× 260 0.8× 474 1.5× 134 0.4× 327 1.0× 41 1.2k
Eve M. Sledjeski 169 0.5× 226 0.7× 188 0.6× 162 0.5× 116 0.4× 30 1.3k
Lisa Kakinami 174 0.5× 216 0.7× 262 0.8× 286 0.9× 432 1.4× 75 1.3k
Diane M. Herbeck 77 0.2× 342 1.1× 384 1.2× 220 0.7× 268 0.9× 44 1.2k
Suzanne R. Doyle 120 0.3× 300 0.9× 498 1.5× 117 0.4× 298 0.9× 38 1.1k

Countries citing papers authored by Nina A. Cooperman

Since Specialization
Citations

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

Fields of papers citing papers by Nina A. Cooperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina A. Cooperman. 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 Nina A. Cooperman. The network helps show where Nina A. Cooperman may publish in the future.

Co-authorship network of co-authors of Nina A. Cooperman

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