Eliminating Racial

18 total papers · 766 total citations
16 papers, 575 citations indexed

About

Eliminating Racial is a scholar working on Economics and Econometrics, Emergency Medical Services and Sociology and Political Science. According to data from OpenAlex, Eliminating Racial has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 4 papers in Emergency Medical Services and 3 papers in Sociology and Political Science. Recurrent topics in Eliminating Racial's work include Global Health Workforce Issues (4 papers), Healthcare Policy and Management (4 papers) and Cultural Competency in Health Care (3 papers). Eliminating Racial is often cited by papers focused on Global Health Workforce Issues (4 papers), Healthcare Policy and Management (4 papers) and Cultural Competency in Health Care (3 papers). Eliminating Racial collaborates with scholars based in . Eliminating Racial's co-authors include Brian D. Smedley, Adrienne Y. Stith and Alan R. Nelson and has published in prestigious journals such as .

In The Last Decade

Eliminating Racial

15 papers receiving 538 citations

Author Peers

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

Author Last Decade Papers Cites
Eliminating Racial 280 143 94 84 69 16 575
Daniel Polsky 287 1.0× 140 1.0× 78 0.8× 154 1.8× 110 1.6× 17 630
Marguerite Ro 266 0.9× 128 0.9× 85 0.9× 61 0.7× 39 0.6× 20 539
Elaine Bratic Arkin 244 0.9× 194 1.4× 93 1.0× 51 0.6× 34 0.5× 14 629
Aswita Tan‐McGrory 360 1.3× 79 0.6× 144 1.5× 59 0.7× 38 0.6× 21 624
John E. Snyder 159 0.6× 87 0.6× 86 0.9× 78 0.9× 87 1.3× 22 514
Karen Bouye 318 1.1× 69 0.5× 96 1.0× 76 0.9× 75 1.1× 12 637
Carl H. Rush 456 1.6× 64 0.4× 69 0.7× 77 0.9× 65 0.9× 17 670
Cara James 349 1.2× 61 0.4× 80 0.9× 159 1.9× 48 0.7× 13 624
Sara P. Ginzberg 197 0.7× 169 1.2× 145 1.5× 51 0.6× 43 0.6× 34 609
Iris Shimizu 146 0.5× 77 0.5× 116 1.2× 69 0.8× 50 0.7× 21 633

Countries citing papers authored by Eliminating Racial

Since Specialization
Citations

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

Fields of papers citing papers by Eliminating Racial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eliminating Racial

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