Roma D. Williams

39 total papers · 1.1k total citations
27 papers, 800 citations indexed

About

Roma D. Williams is a scholar working on Oncology, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Roma D. Williams has authored 27 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 4 papers in General Health Professions and 4 papers in Sociology and Political Science. Recurrent topics in Roma D. Williams's work include Global Cancer Incidence and Screening (7 papers), Cancer survivorship and care (4 papers) and Cultural Competency in Health Care (2 papers). Roma D. Williams is often cited by papers focused on Global Cancer Incidence and Screening (7 papers), Cancer survivorship and care (4 papers) and Cultural Competency in Health Care (2 papers). Roma D. Williams collaborates with scholars based in United States, United Kingdom and Bangladesh. Roma D. Williams's co-authors include Mary E. Cooley, Cynthia Chernecky, Geraldine Padilla, Leda L. Danao, Jean K. Brown, Renée A. Harrison, Yiqun Han, Richard Payne, Ramy Mahmoud and Susan D. Mathias and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Public Health and Annals of Behavioral Medicine.

In The Last Decade

Roma D. Williams

26 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Roma D. Williams 265 167 139 138 111 27 800
Linda H. Eaton 278 1.0× 252 1.5× 291 2.1× 186 1.3× 111 1.0× 51 890
Matthew Breckons 229 0.9× 188 1.1× 86 0.6× 100 0.7× 20 0.2× 48 936
Helen Skerman 380 1.4× 79 0.5× 204 1.5× 259 1.9× 166 1.5× 26 804
Özgül Karayurt 456 1.7× 168 1.0× 106 0.8× 94 0.7× 24 0.2× 63 899
Hsin‐Tien Hsu 118 0.4× 151 0.9× 88 0.6× 93 0.7× 26 0.2× 42 739
Mhoira Leng 98 0.4× 223 1.3× 467 3.4× 238 1.7× 117 1.1× 36 989
Miriam O. Ezenwa 63 0.2× 151 0.9× 241 1.7× 264 1.9× 117 1.1× 63 860
Ian Kudel 54 0.2× 119 0.7× 91 0.7× 88 0.6× 67 0.6× 37 994
Kaina Zhou 263 1.0× 110 0.7× 133 1.0× 140 1.0× 19 0.2× 32 903
Annemie Courtens 479 1.8× 197 1.2× 320 2.3× 287 2.1× 75 0.7× 29 877

Countries citing papers authored by Roma D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Roma D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roma D. Williams

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