Rebecca Starr

13 total papers · 1.1k total citations
8 papers, 749 citations indexed

About

Rebecca Starr is a scholar working on Surgery, Geriatrics and Gerontology and Gender Studies. According to data from OpenAlex, Rebecca Starr has authored 8 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Geriatrics and Gerontology and 2 papers in Gender Studies. Recurrent topics in Rebecca Starr's work include Diversity and Career in Medicine (2 papers), Health and Medical Research Impacts (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). Rebecca Starr is often cited by papers focused on Diversity and Career in Medicine (2 papers), Health and Medical Research Impacts (1 paper) and Diagnosis and treatment of tuberculosis (1 paper). Rebecca Starr collaborates with scholars based in United States and Vietnam. Rebecca Starr's co-authors include Reshma Jagsi, Nancy J. Tarbell, Elizabeth A. Guancial, Yuchiao Chang, Lori Henault, Elaine M. Hylek, Kathryn Tout, Kimberly Boller, Mihaela Stefan and Timothy Flanigan and has published in prestigious journals such as New England Journal of Medicine, American Journal of Obstetrics and Gynecology and International Journal of Infectious Diseases.

In The Last Decade

Rebecca Starr

8 papers receiving 729 citations

Hit Papers

The “Gender Gap” in Autho... 2006 2026 2012 2019 2006 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Rebecca Starr 621 470 180 86 82 8 749
Samantha E. Kaplan 803 1.3× 624 1.3× 196 1.1× 178 2.1× 100 1.2× 9 894
Joan Y. Reede 494 0.8× 495 1.1× 225 1.3× 164 1.9× 186 2.3× 20 891
Carol Hampton 285 0.5× 377 0.8× 162 0.9× 57 0.7× 76 0.9× 18 628
Julie A. Poorman 614 1.0× 483 1.0× 201 1.1× 93 1.1× 38 0.5× 13 712
Beverley Davies Rowley 250 0.4× 469 1.0× 348 1.9× 90 1.0× 81 1.0× 20 869
Christine Marquez 206 0.3× 273 0.6× 220 1.2× 22 0.3× 259 3.2× 18 756
Lyndonna Marrast 418 0.7× 375 0.8× 175 1.0× 245 2.8× 60 0.7× 12 710
Kevin M. Mauro 466 0.8× 416 0.9× 154 0.9× 34 0.4× 13 0.2× 9 644
Annie Wong 218 0.4× 400 0.9× 207 1.1× 74 0.9× 36 0.4× 11 624
David Babbott 204 0.3× 385 0.8× 216 1.2× 98 1.1× 24 0.3× 19 672

Countries citing papers authored by Rebecca Starr

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Starr

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