Steven C. Hunt

22.5k total citations · 1 hit paper
67 papers, 4.6k citations indexed

About

Steven C. Hunt is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Steven C. Hunt has authored 67 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 15 papers in Molecular Biology and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Steven C. Hunt's work include Genetic Associations and Epidemiology (44 papers), Nutrition, Genetics, and Disease (15 papers) and Birth, Development, and Health (8 papers). Steven C. Hunt is often cited by papers focused on Genetic Associations and Epidemiology (44 papers), Nutrition, Genetics, and Disease (15 papers) and Birth, Development, and Health (8 papers). Steven C. Hunt collaborates with scholars based in United States, France and Japan. Steven C. Hunt's co-authors include Roger R. Williams, Richard P. Lifton, Xavier Jeunemaı̂tre, Jean‐Marc Lalouel, Paul N. Hopkins, Pierre Corvol, Anne Charru, Yuri Kotelevtsev, Christopher S. Williams and Michael A. Province and has published in prestigious journals such as Cell, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Steven C. Hunt

63 papers receiving 4.4k citations

Hit Papers

Molecular basis of human hypertension: Role of angiotensi... 1992 2026 2003 2014 1992 400 800 1.2k

Peers

Steven C. Hunt
K. Bridget Brosnihan United States
A. Evans France
Sandra J. Hasstedt United States
Sekar Kathiresan United States
Ray E. Gleason United States
K. Bridget Brosnihan United States
Steven C. Hunt
Citations per year, relative to Steven C. Hunt Steven C. Hunt (= 1×) peers K. Bridget Brosnihan

Countries citing papers authored by Steven C. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. Hunt. 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 Steven C. Hunt. The network helps show where Steven C. Hunt may publish in the future.

Co-authorship network of co-authors of Steven C. Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. Hunt. A scholar is included among the top collaborators of Steven C. Hunt 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 Steven C. Hunt. Steven C. Hunt 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.
Yousri, Noha A., Omar Albagha, & Steven C. Hunt. (2023). Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study. BMC Medicine. 21(1). 347–347. 16 indexed citations
2.
Sung, Yun Ju, Nuo Cheng, Priyanka Nandakumar, et al.. (2015). The Role of Rare Variants in Systolic Blood Pressure: Analysis of ExomeChip Data in HyperGEN African Americans. Human Heredity. 79(1). 20–27. 9 indexed citations
3.
Simino, Jeannette, Aldi T. Kraja, Stephen T. Turner, et al.. (2014). Linkage analysis incorporating gene–age interactions identifies seven novel lipid loci: The Family Blood Pressure Program. Atherosclerosis. 235(1). 84–93. 9 indexed citations
4.
Underwood, Patricia, Bei Sun, Jonathan S. Williams, et al.. (2011). The association of the angiotensinogen gene with insulin sensitivity in humans: a tagging single nucleotide polymorphism and haplotype approach. Metabolism. 60(8). 1150–1157. 16 indexed citations
5.
Kraja, Aldi T., Steven C. Hunt, D. C. Rao, et al.. (2010). Genetics of Hypertension and Cardiovascular Disease and Their Interconnected Pathways: Lessons from Large Studies. Current Hypertension Reports. 13(1). 46–54. 30 indexed citations
6.
Bilušić, Marijo, Carol Moreno, Michael Tschannen, et al.. (2008). Genetically Hypertensive Brown Norway Congenic Rat Strains Suggest Intermediate Traits Underlying Genetic Hypertension. Croatian Medical Journal. 49(5). 586–599. 7 indexed citations
7.
Hunt, Steven C., Steven Stone, Yuanpei Xin, et al.. (2008). Association of the FTO Gene With BMI. Obesity. 16(4). 902–904. 122 indexed citations
8.
Boes, Eva, Barbara Kollerits, Iris M. Heid, et al.. (2008). INSIG2 Polymorphism Is Neither Associated With BMI Nor With Phenotypes of Lipoprotein Metabolism. Obesity. 16(4). 827–833. 29 indexed citations
9.
Gu, C. Charles, Steven C. Hunt, Sharon L.R. Kardia, et al.. (2007). An investigation of genome-wide associations of hypertension with microsatellite markers in the family blood pressure program (FBPP). Human Genetics. 121(5). 577–590. 16 indexed citations
10.
Laramie, Jason M., Jemma B. Wilk, Steven C. Hunt, et al.. (2006). Evidence for a gene influencing heart rate on chromosome 5p13-14 in a meta-analysis of genome-wide scans from the NHLBI Family Blood Pressure Program. BMC Medical Genetics. 7(1). 17–17. 4 indexed citations
11.
Stone, Steven, Victor Abkevich, Deanna L. Russell, et al.. (2006). TBC1D1 is a candidate for a severe obesity gene and evidence for a gene/gene interaction in obesity predisposition. Human Molecular Genetics. 15(18). 2709–2720. 119 indexed citations
12.
Avery, Christy L., Barry I. Freedman, Aldi T. Kraja, et al.. (2006). Genotype-by-sex interaction in the aetiology of type 2 diabetes mellitus: support for sex-specific quantitative trait loci in Hypertension Genetic Epidemiology Network participants. Diabetologia. 49(10). 2329–2336. 19 indexed citations
13.
Kraja, Aldi T., Steven C. Hunt, James S. Pankow, et al.. (2005). Quantitative Trait Loci for Metabolic Syndrome in the Hypertension Genetic Epidemiology Network Study. Obesity Research. 13(11). 1885–1890. 20 indexed citations
14.
Tang, Hua, Thomas Quertermous, Beatriz L. Rodríguez, et al.. (2005). Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies. The American Journal of Human Genetics. 76(2). 268–275. 403 indexed citations
15.
Wilk, J. B., Luc Djoussé, Donna K. Arnett, et al.. (2004). Genome-wide linkage analyses for age at diagnosis of hypertension and early-onset hypertension in the HyperGEN study. American Journal of Hypertension. 17(9). 839–844. 30 indexed citations
16.
Morrison, Alanna C., et al.. (2004). . American Journal of Hypertension. 17(9). 834–838. 14 indexed citations
17.
Kronenberg, Florian, Hilary Coon, R. Curtis Ellison, et al.. (2002). Segregation analysis of HDL cholesterol in the NHLBI Family Heart Study and in Utah pedigrees. European Journal of Human Genetics. 10(6). 367–374. 8 indexed citations
18.
Hunt, Steven C., Sandra J. Hasstedt, Hilary Coon, et al.. (2002). Linkage of creatinine clearance to chromosome 10 in Utah pedigrees replicates a locus for end-stage renal disease in humans and renal failure in the fawn-hooded rat. Kidney International. 62(4). 1143–1148. 48 indexed citations
19.
20.
Jeunemaı̂tre, Xavier, Yuri Kotelevtsev, Richard P. Lifton, et al.. (1992). Molecular basis of human hypertension: Role of angiotensinogen. Cell. 71(1). 169–180. 1489 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026