Tina D. Cunningham

75 total papers · 1.7k total citations
57 papers, 1.3k citations indexed

About

Tina D. Cunningham is a scholar working on Surgery, General Health Professions and Epidemiology. According to data from OpenAlex, Tina D. Cunningham has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in General Health Professions and 11 papers in Epidemiology. Recurrent topics in Tina D. Cunningham's work include Reproductive tract infections research (6 papers), HIV/AIDS Research and Interventions (6 papers) and Bone health and osteoporosis research (6 papers). Tina D. Cunningham is often cited by papers focused on Reproductive tract infections research (6 papers), HIV/AIDS Research and Interventions (6 papers) and Bone health and osteoporosis research (6 papers). Tina D. Cunningham collaborates with scholars based in United States, Hungary and Canada. Tina D. Cunningham's co-authors include Robert E. Johnson, Steven H. Woolf, Stephen F. Rothemich, Alex H. Krist, Neelima Chandra, Andrea R. Thurman, Sharon M. Anderson, Gustavo F. Doncel, Fred H. Frankel and Elizabeth A. Laugeson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Geriatrics Society.

In The Last Decade

Tina D. Cunningham

55 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
Tina D. Cunningham 201 197 196 181 163 57 1.3k
J. Anderson 309 1.5× 485 2.5× 196 1.0× 92 0.5× 74 0.5× 67 1.7k
Joanne Reekie 132 0.7× 573 2.9× 120 0.6× 74 0.4× 211 1.3× 63 1.5k
Kenneth A. Katz 189 0.9× 456 2.3× 111 0.6× 458 2.5× 242 1.5× 69 1.6k
Henry Roberts 146 0.7× 767 3.9× 318 1.6× 129 0.7× 83 0.5× 28 1.5k
Jennifer S. Walker 245 1.2× 209 1.1× 307 1.6× 72 0.4× 157 1.0× 37 1.3k
Cristina Masuet‐Aumatell 200 1.0× 291 1.5× 58 0.3× 260 1.4× 163 1.0× 89 1.8k
Amanda R. Smith 157 0.8× 436 2.2× 179 0.9× 48 0.3× 86 0.5× 56 1.8k
Amos Grünebaum 375 1.9× 312 1.6× 145 0.7× 84 0.5× 48 0.3× 99 1.8k
Jeff Round 255 1.3× 208 1.1× 306 1.6× 93 0.5× 124 0.8× 77 1.4k
Judith C. Shlay 171 0.9× 557 2.8× 325 1.7× 165 0.9× 102 0.6× 62 1.6k

Countries citing papers authored by Tina D. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Tina D. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina D. Cunningham

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