S C Hunt

1.6k citations
27 papers · 1.1k · h-index 17

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid

Papers in

S C Hunt

27 papers receiving 1.1k citations

Peers

S C Hunt
Comparison fields: 5 of 109
  • Aging 114
  • Nephrology 159
  • Physiology 385
  • Cardiology and Cardiovascular Medicine 325
  • Endocrinology, Diabetes and Metabolism 165
Replace Jee‐Aee Im with:
Jee‐Aee Im South Korea
Simona Giovagnetti Italy
Inger Stallmann‐Jorgensen United States
Mona Nasrallah Lebanon
Jan Duława Poland
Xia Zhang China
Francisco Carrilho Portugal
Nele Friedrich Germany
Christine Maric‐Bilkan United States
H. T. Blumenthal United States
S C Hunt relative to Jee‐Aee Im South Korea Jee‐Aee Im's profile →
Citations per field
00.5×8.8×
Jee‐Aee Im · 1×
Citations per year

Countries citing papers authored by S C Hunt

Since Specialization
Citations

This map shows the geographic impact of S 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 S 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 S C Hunt more than expected).

Fields of papers citing papers by S C Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S C Hunt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S C Hunt Line = papers co-authored together S C Hunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011260
2 198599
3 199191
4 201284
5 198579
6 200863
7 200161
8 198944
9 200537
10 199036
11 199935
12 200235
13 200034
14
Tabulations and expectations regarding the genetics of human hypertension.
199432
15 200631
16 200627
17
Doppler echocardiographic indices of diastolic function as markers of acute cardiac rejection.
198717
18 199913
19 199912
20 19899

About S C Hunt

S C Hunt is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Alcohol Consumption and Health Effects (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Nutrition, Genetics, and Disease (3 papers), Obesity, Physical Activity, Diet (2 papers), Renin-Angiotensin System Studies (2 papers), Hormonal Regulation and Hypertension (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Aging (114 citations), Nephrology (159 citations), Physiology (385 citations), Cardiology and Cardiovascular Medicine (325 citations) and Endocrinology, Diabetes and Metabolism (165 citations). S C Hunt has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Ariel Aviv, Minoru Kimura, Elizabeth H. Blackburn, Xiaojian Cao, Jue Lin, R R Williams, Sandra J. Hasstedt, P N Hopkins, Lily Wu and C W Haws. Their work appears in journals such as Human Genetics, Circulation, Nephrology Dialysis Transplantation, American Journal of Hypertension and Molecular Human Reproduction.

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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