Stephen E. Hamby

27 papers receiving 2.3k citations

Stephen E. Hamby's Hit Papers

Polygenic basis and biomedical consequences of telomere length variation 2021 · 242 citations
2420+3+6Years since publication100200300400500

Peers

Stephen E. Hamby
Comparison fields: 5 of 109
  • Aging 75
  • Endocrinology 118
  • Genetics 589
  • Cardiology and Cardiovascular Medicine 334
  • Physiology 306
Replace Ronald A. Booth with:
Ronald A. Booth Canada
James A. Nathan United Kingdom
Joseph Lustgarten United States
Ivone Un San Leong United Kingdom
Kate Witkowska United Kingdom
Tara Seshadri Canada
Hiroki Morizono United States
Nadia A. Ameen United States
Sotaro Mushiake Japan
Witigo V Schönfels Germany
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Countries citing papers authored by Stephen E. Hamby

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Hamby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Hamby. 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 Stephen E. Hamby. The network helps show where Stephen E. Hamby may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen E. Hamby, 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 Stephen E. Hamby Line = papers co-authored together Stephen E. Hamby 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
Association analyses based on false discovery rate implicate new loci for coronary artery disease
Hit paper breakdown →
2017504
2
Polygenic basis and biomedical consequences of telomere length variation
Hit paper breakdown →
2021242
3 2017203
4 2008198
5 2015194
6 2016162
7 2020124
8 2012109
9 201585
10 201866
11 202056
12 202350
13 201943
14 201841
15 202440
16 201138
17 202232
18 201127
19 202025
20 201122

About Stephen E. Hamby

Stephen E. Hamby is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Pulmonary and Respiratory Medicine, Endocrinology and Molecular Biology, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiovascular Issues in Pregnancy (3 papers), Genetic Associations and Epidemiology (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Immune cells in cancer (2 papers), RNA modifications and cancer (2 papers), Congenital heart defects research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (75 citations), Endocrinology (118 citations), Genetics (589 citations), Cardiology and Cardiovascular Medicine (334 citations) and Physiology (306 citations). Stephen E. Hamby has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jonathan D. Hirst, Nadia A Chuzhanova, D.N. Cooper, Stephen James Forsythe, Susan M Joseph, Nilesh J. Samani, Florence Y. Lai, Mintu Nath, Christopher P. Nelson and John Russell Thompson. Their work appears in journals such as Nature Genetics, Human Genomics, Circulation Genomic and Precision Medicine, Theranostics and PLoS ONE.

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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