PT Williams

881 total citations
9 papers, 713 citations indexed

About

PT Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, PT Williams has authored 9 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in PT Williams's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obesity, Physical Activity, Diet (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). PT Williams is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obesity, Physical Activity, Diet (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). PT Williams collaborates with scholars based in United States and United Kingdom. PT Williams's co-authors include R M Krauss, P D Wood, B Frey-Hewitt, Nancy M. Ellsworth, K M Vranizan, Hannia Campos, Patricia J. Blanche, H. Robert Superko, Walter M. Bortz and R J Morris and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Lipid Research and Ultrasound.

In The Last Decade

PT Williams

9 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
PT Williams United States	8	336	293	214	140	138	9	713
P Hlavatý Czechia	16	416 1.2×	273 0.9×	116 0.5×	179 1.3×	39 0.3×	30	720
G.C. Buckley Canada	9	442 1.3×	284 1.0×	258 1.2×	239 1.7×	46 0.3×	10	772
Sydney A. Westphal United States	13	316 0.9×	139 0.5×	396 1.9×	144 1.0×	157 1.1×	35	842
M Uusitupa Finland	10	523 1.6×	324 1.1×	360 1.7×	365 2.6×	131 0.9×	16	1.1k
Monique Sothier France	13	446 1.3×	170 0.6×	132 0.6×	226 1.6×	77 0.6×	17	743
Kathrine J. Vinknes Norway	17	488 1.5×	309 1.1×	191 0.9×	130 0.9×	82 0.6×	39	941
AR Folsom United States	7	172 0.5×	245 0.8×	132 0.6×	291 2.1×	76 0.6×	7	687
J.‐L. Chiasson Canada	16	349 1.0×	129 0.4×	477 2.2×	91 0.7×	155 1.1×	27	970
Jeannie Tay Singapore	11	689 2.1×	325 1.1×	501 2.3×	55 0.4×	73 0.5×	18	887
Giuseppe Rosafio Italy	14	215 0.6×	219 0.7×	137 0.6×	81 0.6×	45 0.3×	20	609

Countries citing papers authored by PT Williams

Since Specialization

Citations

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

Fields of papers citing papers by PT Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of PT Williams

This figure shows the co-authorship network connecting the top 25 collaborators of PT Williams. A scholar is included among the top collaborators of PT 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 PT Williams. PT 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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9 of 9 papers shown

Morris, R J, et al.. (2013). Comparison of Doppler ultrasound velocity parameters in the determination of internal carotid artery stenosis. Ultrasound. 21(3). 124–131. 3 indexed citations

Campos, Hannia, et al.. (1998). Change in dietary saturated fat intake is correlated with change in mass of large low-density-lipoprotein particles in men. American Journal of Clinical Nutrition. 67(5). 828–836. 127 indexed citations

Williams, PT. (1997). Interactive effects of exercise, alcohol, and vegetarian diet on coronary artery disease risk factors in 9242 runners: the National Runners’ Health Study. American Journal of Clinical Nutrition. 66(5). 1197–1206. 44 indexed citations

Williams, PT. (1997). Evidence for the incompatibility of age-neutral overweight and age-neutral physical activity standards from runners. American Journal of Clinical Nutrition. 65(5). 1391–1396. 29 indexed citations

Williams, PT, et al.. (1995). Effects of dietary fat on high-density-lipoprotein subclasses are influenced by both apolipoprotein E isoforms and low-density-lipoprotein subclass patterns. American Journal of Clinical Nutrition. 61(6). 1234–1240. 20 indexed citations

Williams, PT, K M Vranizan, & R M Krauss. (1992). Correlations of plasma lipoproteins with LDL subfractions by particle size in men and women.. Journal of Lipid Research. 33(5). 765–774. 63 indexed citations

Superko, H. Robert, et al.. (1991). Caffeinated and decaffeinated coffee effects on plasma lipoprotein cholesterol, apolipoproteins, and lipase activity: a controlled, randomized trial. American Journal of Clinical Nutrition. 54(3). 599–605. 51 indexed citations

Williams, PT, et al.. (1990). Identifying the predominant peak diameter of high-density and low-density lipoproteins by electrophoresis.. Journal of Lipid Research. 31(6). 1131–1139. 89 indexed citations

Frey-Hewitt, B, et al.. (1988). Dietary fat:carbohydrate ratio and obesity in middle-aged men. American Journal of Clinical Nutrition. 47(6). 995–1000. 287 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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