Kayla Williams

68 total papers · 2.5k total citations
35 papers, 433 citations indexed

About

Kayla Williams is a scholar working on General Health Professions, Gender Studies and Sociology and Political Science. According to data from OpenAlex, Kayla Williams has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 9 papers in Gender Studies and 5 papers in Sociology and Political Science. Recurrent topics in Kayla Williams's work include Workplace Health and Well-being (8 papers), Gender, Security, and Conflict (8 papers) and Sexual Assault and Victimization Studies (4 papers). Kayla Williams is often cited by papers focused on Workplace Health and Well-being (8 papers), Gender, Security, and Conflict (8 papers) and Sexual Assault and Victimization Studies (4 papers). Kayla Williams collaborates with scholars based in United States, Canada and Slovenia. Kayla Williams's co-authors include Amii Kress, Charles C. Engel, Jennifer Hawes-Dawson, Sarah O. Meadows, Molly Doyle, Lisa Sontag-Padilla, Robin Beckman, Matthew Cefalu, Rajeev Ramchand and Rebecca L. Collins and has published in prestigious journals such as Journal of Clinical Oncology, Cognition and BMJ Open.

In The Last Decade

Kayla Williams

32 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Kayla Williams	123	81	74	67	61	35	433
Kristie L. Gore	269 2.2×	85 1.0×	83 1.1×	32 0.5×	92 1.5×	39	478
Begoña Orgaz	150 1.2×	76 0.9×	100 1.4×	148 2.2×	79 1.3×	22	392
Linda R. Shaw	94 0.8×	124 1.5×	41 0.6×	65 1.0×	116 1.9×	36	416
Marilyn Price	196 1.6×	64 0.8×	35 0.5×	74 1.1×	68 1.1×	29	424
Stéphanie Alexander	57 0.5×	73 0.9×	25 0.3×	115 1.7×	107 1.8×	31	456
Janice L. DeLucia	188 1.5×	99 1.2×	54 0.7×	37 0.6×	56 0.9×	18	375
David A. Patterson Silver Wolf	150 1.2×	78 1.0×	42 0.6×	120 1.8×	104 1.7×	38	431
Carin Staland‐Nyman	90 0.7×	85 1.0×	17 0.2×	95 1.4×	234 3.8×	23	493
Maria Clara Pinheiro de Paula Couto	116 0.9×	129 1.6×	23 0.3×	95 1.4×	98 1.6×	41	473
Michael P. Accordino	240 2.0×	145 1.8×	25 0.3×	123 1.8×	55 0.9×	23	377

Countries citing papers authored by Kayla Williams

Since Specialization

Citations

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

Fields of papers citing papers by Kayla Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla Williams

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