Ken Williams

13 papers and 1.5k indexed citations i.

About

Ken Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Ken Williams has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Ken Williams’s work include Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Ken Williams is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Ken Williams collaborates with scholars based in United States, Mexico and Canada. Ken Williams's co-authors include Steven M. Haffner, Wayde M. Weston, Andrew S. Greenberg, Martin I. Freed, Hongzi Chen, Andreas Festa, Lynne E. Wagenknecht, Ralph B. D’Agostino, Michael E. J. Lean and Thang S. Han and has published in prestigious journals such as Circulation, Diabetes and American Journal of Public Health.

In The Last Decade

Co-authorship network of co-authors of Ken Williams i

Fields of papers citing papers by Ken Williams

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Ken Williams. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ken Williams may publish in the future.

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).

Rankless by CCL
2025