Tina K. Sacks

37 total papers · 982 total citations
17 papers, 607 citations indexed

About

Tina K. Sacks is a scholar working on General Health Professions, Sociology and Political Science and Health. According to data from OpenAlex, Tina K. Sacks has authored 17 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Sociology and Political Science and 5 papers in Health. Recurrent topics in Tina K. Sacks's work include Health disparities and outcomes (5 papers), Racial and Ethnic Identity Research (3 papers) and Qualitative Research Methods and Ethics (3 papers). Tina K. Sacks is often cited by papers focused on Health disparities and outcomes (5 papers), Racial and Ethnic Identity Research (3 papers) and Qualitative Research Methods and Ethics (3 papers). Tina K. Sacks collaborates with scholars based in United States, Spain and Australia. Tina K. Sacks's co-authors include Sarah Gehlert, Dana Sohmer, Olufunmilayo Olopade, Martha K. McClintock, Darrell Hudson, Caryn N. Bell, Courtney S. Thomas Tobin, Roland J. Thorpe, Alexis Jemal and Alana Gunn and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Health Affairs and Frontiers in Public Health.

In The Last Decade

Tina K. Sacks

17 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Tina K. Sacks 232 189 146 143 95 17 607
Elaine Bratic Arkin 244 1.1× 194 1.0× 111 0.8× 117 0.8× 93 1.0× 14 629
Gniesha Y. Dinwiddie 258 1.1× 202 1.1× 206 1.4× 100 0.7× 70 0.7× 14 666
C. June Strickland 264 1.1× 171 0.9× 136 0.9× 105 0.7× 65 0.7× 22 606
Rosalie F. Young 180 0.8× 130 0.7× 103 0.7× 106 0.7× 92 1.0× 28 595
Noel J. Chrisman 338 1.5× 236 1.2× 71 0.5× 124 0.9× 80 0.8× 30 698
Amal Killawi 124 0.5× 156 0.8× 158 1.1× 140 1.0× 110 1.2× 14 497
Paula M. Usita 114 0.5× 293 1.6× 114 0.8× 153 1.1× 121 1.3× 27 673
Michelle Johnson-Jennings 251 1.1× 114 0.6× 185 1.3× 83 0.6× 62 0.7× 27 542
Danielle M. Crookes 169 0.7× 123 0.7× 106 0.7× 135 0.9× 97 1.0× 31 543
Andrea Meier 279 1.2× 167 0.9× 69 0.5× 70 0.5× 76 0.8× 24 582

Countries citing papers authored by Tina K. Sacks

Since Specialization
Citations

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

Fields of papers citing papers by Tina K. Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina K. Sacks. 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 Tina K. Sacks. The network helps show where Tina K. Sacks may publish in the future.

Co-authorship network of co-authors of Tina K. Sacks

This figure shows the co-authorship network connecting the top 25 collaborators of Tina K. Sacks. A scholar is included among the top collaborators of Tina K. Sacks 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 Tina K. Sacks. Tina K. Sacks 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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