Jeff T. Williams

5.1k total citations · 1 hit paper
81 papers, 3.1k citations indexed

About

Jeff T. Williams is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Jeff T. Williams has authored 81 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Epidemiology. Recurrent topics in Jeff T. Williams's work include Genetic Associations and Epidemiology (29 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers) and Genetic and phenotypic traits in livestock (16 papers). Jeff T. Williams is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers) and Genetic and phenotypic traits in livestock (16 papers). Jeff T. Williams collaborates with scholars based in United States, United Kingdom and Brazil. Jeff T. Williams's co-authors include John Blangero, Laura Almasy, Paul Van Eerdewegh, Sarah Williams‐Blangero, François Nosten, Thomas D. Dyer, Ravindranath Duggirala, Timothy J. C. Anderson, Iván Darío Vélez and Bernhard Haubold and has published in prestigious journals such as Circulation, Stroke and Biological Psychiatry.

In The Last Decade

Jeff T. Williams

79 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

Microsatellite Markers Reveal a Spectrum of Population Structures in the Malaria Parasite Plasmodium falciparum

2000 625 citations Timothy J. C. Anderson, Bernhard Haubold et al. Molecular Biology and Evolution profile →

Peers

Jeff T. Williams

GENET

PHEOH

PARAS

EPIDE

Philip Awadalla Canada

Yasuhiro Yoshikawa Japan

Emmanuel Dias‐Neto Brazil

Richard D. Emes United Kingdom

Uberto Pozzoli Italy

William T. Gibson Canada

Wallace B. Baze United States

Laurent Farinelli Switzerland

Yutaka Toyoda Japan

Andrés Ruiz‐Linares United Kingdom

Philip Awadalla Canada

Jeff T. Williams

1.2k ×1.0

GENET

851 ×0.9

PHEOH

1.4k ×2.5

157 ×0.3

PARAS

251 ×0.7

EPIDE

Citations per year, relative to Jeff T. Williams Jeff T. Williams (= 1×) peers Philip Awadalla

Countries citing papers authored by Jeff T. Williams

Since Specialization

Citations

This map shows the geographic impact of Jeff T. 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 Jeff T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff T. Williams more than expected).

Fields of papers citing papers by Jeff T. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff T. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff T. Williams. A scholar is included among the top collaborators of Jeff T. 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 Jeff T. Williams. Jeff T. 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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20 of 20 papers shown

Hartman, Kyle J., et al.. (2023). Evaluating Muskellunge catch-and-release mortality at elevated summer water temperature. Transactions of the American Fisheries Society. 152(5). 577–593. 2 indexed citations

Glahn, David C., Jeff T. Williams, Dean McKay, et al.. (2014). Discovering Schizophrenia Endophenotypes in Randomly Ascertained Pedigrees. Biological Psychiatry. 77(1). 75–83. 25 indexed citations

Anderson, Tim, Jeff T. Williams, Shalini Nair, et al.. (2010). Inferred relatedness and heritability in malaria parasites. Proceedings of the Royal Society B Biological Sciences. 277(1693). 2531–2540. 35 indexed citations

MacCluer, Jean W., Michael P. Stern, Laura Almasy, et al.. (2009). Genetics of Atherosclerosis Risk Factors in Mexican Americans. Nutrition Reviews. 57(5). 59–65. 39 indexed citations

Williams, Jeff T., Edward J. Dick, John L. VandeBerg, & Gene B. Hubbard. (2008). Natural Chagas disease in four baboons. Journal of Medical Primatology. 38(2). 107–113. 24 indexed citations

Imwong, Mallika, Shalini Nair, Sasithon Pukrittayakamee, et al.. (2007). Contrasting genetic structure in Plasmodium vivax populations from Asia and South America. International Journal for Parasitology. 37(8-9). 1013–1022. 133 indexed citations

Anderson, Tim, Shalini Nair, Dan Sudimack, et al.. (2005). Geographical Distribution of Selected and Putatively Neutral SNPs in Southeast Asian Malaria Parasites. Molecular Biology and Evolution. 22(12). 2362–2374. 41 indexed citations

Martin, Lisa J., Christy L. Avery, Jeff T. Williams, & Kari E. North. (2005). Quantitative trait locus-specific genotype × alcoholism interaction on linkage for evoked electroencephalogram oscillations. BMC Genetics. 6(S1). S123–S123. 3 indexed citations

North, Kari E., Laura Almasy, Harald H.H. Göring, et al.. (2005). Linkage Analysis of Factors Underlying Insulin Resistance: Strong Heart Family Study. Obesity Research. 13(11). 1877–1884. 6 indexed citations

10.

Martin, Lisa J., Kari E. North, Tom Dyer, et al.. (2003). Phenotypic, genetic, and genome-wide structure in the metabolic syndrome. BMC Genetics. 4(S1). S95–S95. 22 indexed citations

11.

Zabalgoitia, Miguel, et al.. (2003). Electrocardiographic findings in naturally acquired chagasic heart disease in nonhuman primates. Journal of Electrocardiology. 36(2). 155–160. 10 indexed citations

12.

Czerwinski, Stefan A., Jeff T. Williams, Wayne Wisemandle, et al.. (2001). Genetic and Environmental Contributions to Childhood Growth in Stature and Lifetime Overweight Risk.. Circulation. 103. 1352–1352.

13.

Deng, Hong‐Wen, Michael C. Mahaney, Jeff T. Williams, et al.. (2001). Relevance of the genes for bone mass variation to susceptibility to osteoporotic fractures and its implications to gene search for complex human diseases. Genetic Epidemiology. 22(1). 12–25. 106 indexed citations

14.

Bethony, Jeffrey M., Jeff T. Williams, Helmut Kloos, et al.. (2001). Exposure to Schistosoma mansoni infection in a rural area in Brazil. II: Household risk factors. Tropical Medicine & International Health. 6(2). 136–145. 65 indexed citations

15.

Anderson, Timothy J. C., Bernhard Haubold, Jeff T. Williams, et al.. (2000). Microsatellite Markers Reveal a Spectrum of Population Structures in the Malaria Parasite Plasmodium falciparum. Molecular Biology and Evolution. 17(10). 1467–1482. 625 indexed citations breakdown →

16.

Almasy, Laura, Jeff T. Williams, Thomas D. Dyer, & John Blangero. (1999). Quantitative trait locus detection using combined linkage/disequilibrium analysis. Genetic Epidemiology. 17(S1). S31–6. 33 indexed citations

17.

Iturria, Stephen J., Jeff T. Williams, Laura Almasy, Thomas D. Dyer, & John Blangero. (1999). An empirical test of the significance of an observed quantitative trait locus effect that preserves additive genetic variation. Genetic Epidemiology. 17(S1). S169–73. 24 indexed citations

18.

Blangero, John, Jeff T. Williams, Stephen J. Iturria, & Laura Almasy. (1999). Oligogenic model selection using the bayesian information criterion: Linkage analysis of the P300 Cz event‐related brain potential. Genetic Epidemiology. 17(S1). S67–72. 17 indexed citations

19.

Comuzzie, Anthony G. & Jeff T. Williams. (1999). Correcting for ascertainment bias in the COGA data set. Genetic Epidemiology. 17(S1). S109–14. 29 indexed citations

20.

Williams, Jeff T. & John Blangero. (1999). Comparison of variance components and sibpair-based approaches to quantitative trait linkage analysis in unselected samples. Genetic Epidemiology. 16(2). 113–134. 54 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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