Ken Williams

16.1k total citations · 8 hit papers
98 papers, 12.3k citations indexed

About

Ken Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Ken Williams has authored 98 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Endocrinology, Diabetes and Metabolism, 28 papers in Surgery and 26 papers in Epidemiology. Recurrent topics in Ken Williams's work include Diabetes, Cardiovascular Risks, and Lipoproteins (52 papers), Lipoproteins and Cardiovascular Health (25 papers) and Liver Disease Diagnosis and Treatment (13 papers). Ken Williams is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (52 papers), Lipoproteins and Cardiovascular Health (25 papers) and Liver Disease Diagnosis and Treatment (13 papers). Ken Williams collaborates with scholars based in United States, Canada and Mexico. Ken Williams's co-authors include Michael P. Stern, Steven M. Haffner, Kelly J. Hunt, Ralph B. D’Agostino, Carlos Lorenzo, Anthony J. Hanley, Allan D. Sniderman, Gregory L. Freeman, Agustín Escalante and Inmaculada del Rincón and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Ken Williams

95 papers receiving 11.8k citations

Hit Papers

High incidence of cardiovascular events in a rheumatoid a... 2001 2026 2009 2017 2001 2003 2004 2004 2011 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High incidence of cardiovascular events in a rheumatoid arthritis cohort not explained by traditional cardiac risk factors
    2001 1.1k citations Ken Williams, Michael P. Stern et al. profile →
  2. The Metabolic Syndrome as Predictor of Type 2 Diabetes
    2003 663 citations Carlos Lorenzo, Ken Williams et al. Diabetes Care profile →
  3. Does the Metabolic Syndrome Improve Identification of Individuals at Risk of Type 2 Diabetes and/or Cardiovascular Disease?
    2004 539 citations Michael P. Stern, Ken Williams et al. Diabetes Care profile →
  4. National Cholesterol Education Program Versus World Health Organization Metabolic Syndrome in Relation to All-Cause and Cardiovascular Mortality in the San Antonio Heart Study
    2004 526 citations Kelly J. Hunt, Roy G. Resendez et al. profile →
  5. Pioglitazone for Diabetes Prevention in Impaired Glucose Tolerance
    2011 523 citations Ken Williams et al. profile →
  6. Homeostasis Model Assessment of Insulin Resistance in Relation to the Incidence of Cardiovascular Disease
    2002 517 citations Anthony J. Hanley, Ken Williams et al. Diabetes Care profile →
  7. Application of New Cholesterol Guidelines to a Population-Based Sample
    2014 467 citations Michael Pencina, Ken Williams et al. profile →
  8. A Meta-Analysis of Low-Density Lipoprotein Cholesterol, Non-High-Density Lipoprotein Cholesterol, and Apolipoprotein B as Markers of Cardiovascular Risk
    2011 437 citations Allan D. Sniderman, Ken Williams et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Williams United States 48 6.3k 3.2k 2.5k 2.3k 1.9k 98 12.3k
Dimitri P. Mikhailidis United Kingdom 60 4.6k 0.7× 3.9k 1.2× 3.2k 1.3× 3.7k 1.6× 2.0k 1.1× 372 14.3k
Hüseyin Kurt Türkiye 5 4.6k 0.7× 3.6k 1.1× 2.6k 1.0× 4.4k 1.9× 2.3k 1.2× 16 18.7k
Ömer Toprak Türkiye 14 4.6k 0.7× 3.6k 1.1× 2.7k 1.1× 4.5k 2.0× 2.3k 1.2× 31 19.4k
Cihat Şarkış Türkiye 6 4.6k 0.7× 3.6k 1.1× 2.6k 1.1× 4.4k 2.0× 2.3k 1.2× 10 18.7k
Katherine R. Tuttle United States 62 8.6k 1.4× 2.3k 0.7× 3.6k 1.4× 3.4k 1.5× 3.7k 1.9× 306 19.9k
James D. Best Australia 56 5.2k 0.8× 1.5k 0.5× 3.7k 1.5× 2.4k 1.1× 3.0k 1.6× 241 13.2k
Seppo Lehto Finland 47 5.8k 0.9× 1.8k 0.6× 3.2k 1.3× 5.0k 2.2× 1.8k 0.9× 129 13.1k
Margo A. Denke United States 27 6.0k 1.0× 2.2k 0.7× 4.2k 1.7× 3.6k 1.6× 1.2k 0.6× 61 14.5k
Wolfgang Rathmann Germany 66 6.1k 1.0× 3.7k 1.2× 2.0k 0.8× 2.3k 1.0× 2.8k 1.5× 445 16.3k
Sander J. Robins United States 46 4.9k 0.8× 2.1k 0.7× 5.4k 2.1× 2.8k 1.2× 2.3k 1.2× 101 12.5k

Countries citing papers authored by Ken Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ken Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Williams. A scholar is included among the top collaborators of Ken 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 Ken Williams. Ken Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sniderman, Allan D., George Thanassoulis, Ken Williams, & Michael Pencina. (2016). Risk of Premature Cardiovascular Disease vs the Number of Premature Cardiovascular Events. JAMA Cardiology. 1(4). 492–492. 45 indexed citations
2.
Thanassoulis, George, Ken Williams, Keying Ye, et al.. (2014). Relations of Change in Plasma Levels of LDL‐C, Non‐HDL‐C and apoB With Risk Reduction From Statin Therapy: A Meta‐Analysis of Randomized Trials. Journal of the American Heart Association. 3(2). e000759–e000759. 94 indexed citations
3.
White, Joseph M., Jeremy W. Cannon, Adam Stannard, et al.. (2011). Direct Vascular Control Results in Less Physiologic Derangement Than Proximal Aortic Clamping in a Porcine Model of Noncompressible Extrathoracic Torso Hemorrhage. The Journal of Trauma: Injury, Infection, and Critical Care. 71(5). 1278–1287. 12 indexed citations
4.
Sniderman, Allan D., Ken Williams, Matthew McQueen, & Curt D. Furberg. (2010). When is equal not equal?. Journal of clinical lipidology. 4(2). 83–88. 18 indexed citations
5.
Sniderman, Allan D., Ken Williams, & Jacqueline de Graaf. (2010). Non-HDL C equals apolipoprotein B: except when it does not!. Current Opinion in Lipidology. 21(6). 518–524. 23 indexed citations
6.
Solhpour, Amirreza, Nizal Sarrafzadegan, Sedigheh Asgary, et al.. (2009). Levels of lipids and apolipoproteins in three cultures. Atherosclerosis. 207(1). 200–207. 16 indexed citations
7.
Lu, Christine Y., Ken Williams, & Richard O. Day. (2008). Access to biologic medicines for the treatment of rheumatic diseases: lessons from Australia. International Journal of Rheumatic Diseases. 11(1). 11–14. 2 indexed citations
8.
Lu, Christine Y., Jan Ritchie, Ken Williams, & Richard O. Day. (2007). The views of stakeholders on controlled access schemes for high-cost antirheumatic biological medicines in Australia. PubMed. 4(1). 26–26. 8 indexed citations
9.
Stern, Michael P., Ken Williams, & Kelly J. Hunt. (2005). Impact of diabetes/metabolic syndrome in patients with established cardiovascular disease. Atherosclerosis Supplements. 6(2). 3–6. 48 indexed citations
10.
Lorenzo, Carlos, et al.. (2003). The Metabolic Syndrome as Predictor of Type 2 Diabetes. Diabetes Care. 26(11). 3153–3159. 663 indexed citations breakdown →
11.
Burke, J. P., Ken Williams, K.M. Venkat Narayan, et al.. (2003). A Population Perspective on Diabetes Prevention. Diabetes Care. 26(7). 1999–2004. 87 indexed citations
12.
Sattar, Naveed, Ken Williams, Thang S. Han, et al.. (2003). Prospective Relation of C-Reactive Protein With Type 2 Diabetes. Diabetes Care. 26(5). 1657–1658. 4 indexed citations
13.
Duggirala, Ravindranath, et al.. (2002). Genetic determination of biological age in the mennonites of the midwestern United States. Genetic Epidemiology. 23(2). 97–109. 9 indexed citations
14.
Hunt, Kelly J., Ken Williams, Roy G. Resendez, et al.. (2002). All-Cause and Cardiovascular Mortality Among Diabetic Participants in the San Antonio Heart Study. Diabetes Care. 25(9). 1557–1563. 93 indexed citations
15.
Hanley, Anthony J., Ken Williams, Michael P. Stern, & Steven M. Haffner. (2002). Homeostasis Model Assessment of Insulin Resistance in Relation to the Incidence of Cardiovascular Disease. Diabetes Care. 25(7). 1177–1184. 517 indexed citations breakdown →
16.
Arya, Rector, Ravindranath Duggirala, Laura Almasy, et al.. (2001). Linkage of high-density lipoprotein–cholesterol concentrations to a locus on chromosome 9p in Mexican Americans. Nature Genetics. 30(1). 102–105. 74 indexed citations
17.
Burke, J. P., Ken Williams, Sharon P. Gaskill, et al.. (1999). Rapid Rise in the Incidence of Type 2 Diabetes From 1987 to 1996. Archives of Internal Medicine. 159(13). 1450–1450. 238 indexed citations
18.
Williams, Ken. (1988). Version 5 of the Mount — Conrad — Myers Sequence Analysis Software Package now available. Computer applications in the biosciences. 4(1). 211–211. 4 indexed citations
19.
Williams, Ken, Richard O. Day, Romualda D. Knihinicki, & A. M. Duffield. (1986). The stereoselective uptake of ibuprofen enantiomers into adipose tissue. Biochemical Pharmacology. 35(19). 3403–3405. 137 indexed citations
20.
Williams, Ken. (1976). The Failure of Pearson's Goodness of Fit Statistic. Journal of the Royal Statistical Society Series D (The Statistician). 25(1). 49–49. 24 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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