Cassandra D. Ford

66 total papers · 575 total citations
36 papers, 358 citations indexed

About

Cassandra D. Ford is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Health. According to data from OpenAlex, Cassandra D. Ford has authored 36 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Health Professions, 10 papers in Cardiology and Cardiovascular Medicine and 7 papers in Health. Recurrent topics in Cassandra D. Ford's work include Health disparities and outcomes (6 papers), Cardiac Health and Mental Health (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Cassandra D. Ford is often cited by papers focused on Health disparities and outcomes (6 papers), Cardiac Health and Mental Health (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Cassandra D. Ford collaborates with scholars based in United States, Russia and Albania. Cassandra D. Ford's co-authors include Mi Ja Kim, Barbara L. Dancy, Sharon B. Wyatt, Mario Sims, Martha R. Crowther, Keith C. Ferdinand, Ronica Rooks, Marwah Abdalla, Jeffrey Brettler and Brent M. Egan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and American Journal of Preventive Medicine.

In The Last Decade

Cassandra D. Ford

31 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Cassandra D. Ford 121 103 70 69 54 36 358
Van N. B. Nguyen 97 0.8× 35 0.3× 53 0.8× 88 1.3× 33 0.6× 22 341
Arfan R. Afzal 77 0.6× 69 0.7× 64 0.9× 25 0.4× 62 1.1× 34 397
Kathryn Daniel 88 0.7× 73 0.7× 39 0.6× 38 0.6× 73 1.4× 33 376
Chiung‐Jung Wu 110 0.9× 76 0.7× 46 0.7× 14 0.2× 34 0.6× 54 322
Elizabeth Chin 95 0.8× 62 0.6× 69 1.0× 18 0.3× 38 0.7× 23 330
Sami Al‐Rawashdeh 85 0.7× 43 0.4× 56 0.8× 47 0.7× 23 0.4× 43 379
Ae Kyung Chang 112 0.9× 39 0.4× 76 1.1× 24 0.3× 75 1.4× 29 322
Carina Katigbak 207 1.7× 21 0.2× 75 1.1× 73 1.1× 65 1.2× 25 393
Kiwol Sung 157 1.3× 29 0.3× 51 0.7× 23 0.3× 61 1.1× 37 321
Yingjuan Cao 142 1.2× 41 0.4× 55 0.8× 12 0.2× 36 0.7× 41 377

Countries citing papers authored by Cassandra D. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra D. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cassandra D. Ford

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