Chyvette T. Williams

24 total papers · 1.1k total citations
23 papers, 823 citations indexed

About

Chyvette T. Williams is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Chyvette T. Williams has authored 23 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 12 papers in Infectious Diseases and 9 papers in General Health Professions. Recurrent topics in Chyvette T. Williams's work include HIV, Drug Use, Sexual Risk (17 papers), HIV/AIDS Research and Interventions (12 papers) and Homelessness and Social Issues (5 papers). Chyvette T. Williams is often cited by papers focused on HIV, Drug Use, Sexual Risk (17 papers), HIV/AIDS Research and Interventions (12 papers) and Homelessness and Social Issues (5 papers). Chyvette T. Williams collaborates with scholars based in United States, Brazil and South Korea. Chyvette T. Williams's co-authors include Carl A. Latkin, Carl Latkin, David S. Metzger, Aaron D. Curry, Jian Wang, Frederick L. Altice, Basmattee Boodram, Lawrence J. Ouellet, Paul A. Teixeira and Jaimie P. Meyer and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and American Journal of Preventive Medicine.

In The Last Decade

Chyvette T. Williams

23 papers receiving 801 citations

Author Peers

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

Author Last Decade Papers Cites
Chyvette T. Williams 504 375 341 234 129 23 823
Sarah Dewing 362 0.7× 402 1.1× 406 1.2× 202 0.9× 140 1.1× 26 791
Nancy Van Devanter 382 0.8× 342 0.9× 411 1.2× 133 0.6× 96 0.7× 31 979
Antonio L. Estrada 498 1.0× 272 0.7× 299 0.9× 209 0.9× 140 1.1× 31 925
Marcia Andersen 761 1.5× 502 1.3× 464 1.4× 231 1.0× 190 1.5× 19 1.1k
Wei Hua 417 0.8× 258 0.7× 299 0.9× 243 1.0× 141 1.1× 38 806
Carol L. Galletly 532 1.1× 482 1.3× 340 1.0× 370 1.6× 127 1.0× 43 942
Danielle F. Haley 371 0.7× 423 1.1× 463 1.4× 242 1.0× 66 0.5× 50 816
Saara Greene 341 0.7× 532 1.4× 477 1.4× 235 1.0× 124 1.0× 53 939
María Luisa Zúñiga 388 0.8× 369 1.0× 299 0.9× 245 1.0× 154 1.2× 65 865
Canjeevaram K. Vasudevan 608 1.2× 558 1.5× 188 0.6× 242 1.0× 131 1.0× 40 882

Countries citing papers authored by Chyvette T. Williams

Since Specialization
Citations

This map shows the geographic impact of Chyvette T. 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 Chyvette T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chyvette T. Williams more than expected).

Fields of papers citing papers by Chyvette T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chyvette T. Williams

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