Kiah M. Williams

43 total papers · 1.0k total citations
26 papers, 497 citations indexed

About

Kiah M. Williams is a scholar working on Public Health, Environmental and Occupational Health, Gender Studies and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kiah M. Williams has authored 26 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 14 papers in Gender Studies and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kiah M. Williams's work include Diversity and Career in Medicine (14 papers), Health and Medical Research Impacts (14 papers) and Aortic aneurysm repair treatments (6 papers). Kiah M. Williams is often cited by papers focused on Diversity and Career in Medicine (14 papers), Health and Medical Research Impacts (14 papers) and Aortic aneurysm repair treatments (6 papers). Kiah M. Williams collaborates with scholars based in United States. Kiah M. Williams's co-authors include Venkatraman Seshan, Néstor Saiz, Anna‐Katerina Hadjantonakis, Hanjay Wang, Christian O’Donnell, Simar S. Bajaj, Y. Joseph Woo, Jack Boyd, Yuanjia Zhu and Jack H. Boyd and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and Annals of Surgery.

In The Last Decade

Kiah M. Williams

24 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Kiah M. Williams	171	162	156	143	124	26	497
Vikram Sood	108 0.6×	53 0.3×	151 1.0×	42 0.3×	58 0.5×	36	519
Shaina R. Eckhouse	94 0.5×	44 0.3×	150 1.0×	76 0.5×	22 0.2×	34	578
David Mauchley	111 0.6×	29 0.2×	112 0.7×	107 0.7×	16 0.1×	34	479
George D. Politis	111 0.6×	128 0.8×	98 0.6×	72 0.5×	13 0.1×	36	590
Christopher J. Barreiro	258 1.5×	39 0.2×	303 1.9×	21 0.1×	33 0.3×	19	616
Mark J. Anderson	121 0.7×	37 0.2×	83 0.5×	39 0.3×	13 0.1×	28	560
Linda J. Wang	386 2.3×	88 0.5×	288 1.8×	34 0.2×	116 0.9×	39	590
Marko T. Boskovski	68 0.4×	39 0.2×	126 0.8×	155 1.1×	10 0.1×	17	460
Isaac Wasserman	87 0.5×	46 0.3×	24 0.2×	77 0.5×	9 0.1×	29	462
Jasmeet S. Paul	158 0.9×	52 0.3×	27 0.2×	25 0.2×	27 0.2×	35	554

Countries citing papers authored by Kiah M. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Kiah M. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiah M. Williams

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