Cheryl Williams

1.3k total citations
8 papers, 204 citations indexed

About

Cheryl Williams is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cheryl Williams has authored 8 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Epidemiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Cheryl Williams's work include Viral gastroenteritis research and epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Cheryl Williams is often cited by papers focused on Viral gastroenteritis research and epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Cheryl Williams collaborates with scholars based in United Kingdom and United States. Cheryl Williams's co-authors include D. Craig Miller, George E. Sarris, Peter D. Cahill, Cynthia E. Handen, Michael V. McConnell, Geraldine C. Derby, David E. Hansen, Marek Niczyporuk, R. Scott Mitchell and Allen D. Cooper and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, Journal of Antimicrobial Chemotherapy and Journal of Vascular Surgery.

In The Last Decade

Cheryl Williams

7 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cheryl Williams United Kingdom	7	118	117	50	30	22	8	204
Juan Antonio Franco Peláez Spain	10	72 0.6×	117 1.0×	48 1.0×	12 0.4×	17 0.8×	32	208
Joanna Kozioł Poland	5	24 0.2×	49 0.4×	35 0.7×	18 0.6×	6 0.3×	6	292
Jan Maláska Czechia	9	34 0.3×	40 0.3×	55 1.1×	12 0.4×	33 1.5×	26	208
Ayman Battisha United States	6	46 0.4×	131 1.1×	19 0.4×	23 0.8×	4 0.2×	23	258
Karl Ilg United States	11	43 0.4×	708 6.1×	39 0.8×	5 0.2×	8 0.4×	16	801
Claire Genève France	6	85 0.7×	20 0.2×	92 1.8×	12 0.4×	11 0.5×	7	169
M. Ben Farhat Tunisia	8	80 0.7×	156 1.3×	33 0.7×	8 0.3×	4 0.2×	18	246
Aviv A. Shaul Israel	8	55 0.5×	75 0.6×	38 0.8×	6 0.2×	43 2.0×	17	278
Giuseppe Sangiorgio Italy	9	44 0.4×	24 0.2×	48 1.0×	12 0.4×	17 0.8×	21	232
Ioannis Skiadas Greece	10	51 0.4×	212 1.8×	126 2.5×	7 0.2×	6 0.3×	29	366

Countries citing papers authored by Cheryl Williams

Since Specialization

Citations

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

Fields of papers citing papers by Cheryl Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheryl Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl Williams. A scholar is included among the top collaborators of Cheryl 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 Cheryl Williams. Cheryl 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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8 of 8 papers shown

1.

Taylor, Emma, Abhijit M. Bal, Indran Balakrishnan, et al.. (2021). A prospective surveillance study to determine the prevalence of 16S rRNA methyltransferase-producing Gram-negative bacteria in the UK. Journal of Antimicrobial Chemotherapy. 76(9). 2428–2436. 11 indexed citations

2.

Hale, Richard, Peter B. Crowley, Samir Dervisevic, et al.. (2021). Development of a Multiplex Tandem PCR (MT-PCR) Assay for the Detection of Emerging SARS-CoV-2 Variants. Viruses. 13(10). 2028–2028. 16 indexed citations

3.

Williams, Cheryl, Hilde Johnsen, Lars A. Akslen, et al.. (2019). Molecular portraits of human breast tumours. UNC Libraries.

4.

Crespo, Rocio, et al.. (2016). Inactivation of Infectious Bursal Disease Virus Through Composting of Litter from Poultry Houses. Avian Diseases. 60(2). 506–510. 7 indexed citations

5.

Pratten, Margaret K., et al.. (1990). The effect of macromolecular rat serum fractions on conceptuses cultured in human serum: role of transferrin.. PubMed. 168. 113–21. 7 indexed citations

6.

Sarris, George E., Peter D. Cahill, David E. Hansen, et al.. (1988). Restoration of left ventricular systolic performance after reattachment of the mitral chordae tendineae. Journal of Thoracic and Cardiovascular Surgery. 95(6). 969–979. 105 indexed citations

7.

Cahill, Peter D., George E. Sarris, Allen D. Cooper, et al.. (1988). Inhibition of vein graft intimal thickening by eicosapentanoic acid: Reduced thromboxane production without change in lipoprotein levels or low-density lipoprotein receptor density. Journal of Vascular Surgery. 7(1). 108–118. 52 indexed citations

8.

Cahill, Peter D., George E. Sarris, Allen D. Cooper, et al.. (1988). Inhibition of vein graft intimal thickening by eicosapentanoic acid: Reduced thromboxane production without change in lipoprotein levels or low-density lipoprotein receptor density. Journal of Vascular Surgery. 7(1). 108–118. 6 indexed citations

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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