Diane R. Brown

72 total papers · 2.7k total citations
49 papers, 2.0k citations indexed

About

Diane R. Brown is a scholar working on Health, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Diane R. Brown has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, 14 papers in Sociology and Political Science and 13 papers in General Health Professions. Recurrent topics in Diane R. Brown's work include Global Cancer Incidence and Screening (8 papers), Health disparities and outcomes (6 papers) and Cervical Cancer and HPV Research (6 papers). Diane R. Brown is often cited by papers focused on Global Cancer Incidence and Screening (8 papers), Health disparities and outcomes (6 papers) and Cervical Cancer and HPV Research (6 papers). Diane R. Brown collaborates with scholars based in United States, Canada and Netherlands. Diane R. Brown's co-authors include Lawrence E. Gary, Meral Topçu, Norweeta G. Milburn, Mona N. Fouad, Karen Basen‐Engquist, Guillermo Tortolero‐Luna, Shawn R. Currie, Nady el‐Guebaly, Verna M. Keith and Michael S. Simon and has published in prestigious journals such as Journal of Clinical Oncology, Contemporary Sociology A Journal of Reviews and American Journal of Psychiatry.

In The Last Decade

Diane R. Brown

48 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Diane R. Brown 643 578 472 430 357 49 2.0k
Jennie Jacobs Kronenfeld 868 1.3× 525 0.9× 389 0.8× 558 1.3× 451 1.3× 113 2.7k
Monica Webb Hooper 744 1.2× 405 0.7× 527 1.1× 366 0.9× 606 1.7× 83 2.7k
April Oh 807 1.3× 483 0.8× 531 1.1× 646 1.5× 241 0.7× 59 2.3k
Heather Orom 994 1.5× 598 1.0× 347 0.7× 646 1.5× 240 0.7× 97 3.0k
Sandra E. Echeverría 583 0.9× 391 0.7× 742 1.6× 514 1.2× 318 0.9× 61 2.1k
Dejun Su 771 1.2× 496 0.9× 260 0.6× 353 0.8× 156 0.4× 107 2.4k
Brenda Seals 773 1.2× 321 0.6× 278 0.6× 374 0.9× 233 0.7× 64 2.1k
J. Michael Bowling 623 1.0× 449 0.8× 188 0.4× 374 0.9× 246 0.7× 68 2.2k
Gretchen Van Wye 713 1.1× 881 1.5× 431 0.9× 378 0.9× 177 0.5× 40 2.2k
Justin T. Denney 988 1.5× 775 1.3× 1.0k 2.2× 506 1.2× 283 0.8× 52 2.9k

Countries citing papers authored by Diane R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Diane R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane R. Brown. 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 Diane R. Brown. The network helps show where Diane R. Brown may publish in the future.

Co-authorship network of co-authors of Diane R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Diane R. Brown. A scholar is included among the top collaborators of Diane R. Brown 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 Diane R. Brown. Diane R. Brown 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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