Kate S. Williams

22 total papers · 617 total citations
19 papers, 474 citations indexed

About

Kate S. Williams is a scholar working on Rheumatology, Surgery and General Health Professions. According to data from OpenAlex, Kate S. Williams has authored 19 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rheumatology, 6 papers in Surgery and 5 papers in General Health Professions. Recurrent topics in Kate S. Williams's work include Pelvic floor disorders treatments (13 papers), Urinary Tract Infections Management (5 papers) and Urinary Bladder and Prostate Research (5 papers). Kate S. Williams is often cited by papers focused on Pelvic floor disorders treatments (13 papers), Urinary Tract Infections Management (5 papers) and Urinary Bladder and Prostate Research (5 papers). Kate S. Williams collaborates with scholars based in United Kingdom, Zambia and Malta. Kate S. Williams's co-authors include Christine Shaw, Catherine W. McGrother, Keith R. Abrams, R.P. Assassa, Nicola J. Cooper, Brenda Roe, Roben Das Gupta, Miland Joshi, Lucy Smith and Henrietta O’Connor and has published in prestigious journals such as Nature, European Urology and Obstetrics and Gynecology.

In The Last Decade

Kate S. Williams

18 papers receiving 452 citations

Author Peers

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

Author						Papers	Cites
Kate S. Williams	328	163	141	128	111	19	474
Rosângela Higa	314 1.0×	157 1.0×	132 0.9×	87 0.7×	135 1.2×	33	520
Karin Stenzelius	261 0.8×	157 1.0×	120 0.9×	115 0.9×	75 0.7×	20	425
Patricia K. Suggs	304 0.9×	136 0.8×	110 0.8×	116 0.9×	117 1.1×	17	433
J. Oliver Daly	358 1.1×	199 1.2×	192 1.4×	163 1.3×	87 0.8×	12	537
R.P. Assassa	346 1.1×	181 1.1×	215 1.5×	143 1.1×	38 0.3×	13	432
C. J. Mayne	422 1.3×	212 1.3×	234 1.7×	212 1.7×	36 0.3×	20	525
Yahir Santiago‐Lastra	371 1.1×	207 1.3×	250 1.8×	161 1.3×	21 0.2×	22	529
Jian-shi Huang	235 0.7×	153 0.9×	114 0.8×	93 0.7×	41 0.4×	14	428
L. C. M. Berghmans	466 1.4×	284 1.7×	233 1.7×	134 1.0×	54 0.5×	16	527
S Papanicolaou	368 1.1×	202 1.2×	187 1.3×	199 1.6×	30 0.3×	15	503

Countries citing papers authored by Kate S. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Kate S. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate S. Williams

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