Steve E. Martin

771 citations
17 papers · 669 · h-index 11

Impact in

Papers in

Steve E. Martin

17 papers receiving 645 citations

Peers

Steve E. Martin
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 159
  • Cardiology and Cardiovascular Medicine 141
  • Cancer Research 80
  • Orthopedics and Sports Medicine 33
  • Surgery 120
Replace Laura Martínez‐Arias with:
Laura Martínez‐Arias Spain
P J Lupien Canada
Britt Opdebeeck Belgium
James E. Lang United States
Joo‐Yeon Hwang South Korea
George Christodoulakos Greece
Rose Kientsch-Engel Germany
Annelise Genoux France
Neşe Ersöz Gülçelik Türkiye
Tomoe Kinoshita Japan
Steve E. Martin relative to Laura Martínez‐Arias Spain Laura Martínez‐Arias's profile →
Citations per field
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Laura Martínez‐Arias · 1×
Citations per year

Countries citing papers authored by Steve E. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Steve E. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steve E. Martin, 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 Steve E. Martin Line = papers co-authored together Steve E. Martin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002188
2 2003107
3 200495
4 200365
5
The economic effect of hypoglycemia in a health plan.
200335
6 201735
7 200734
8 201729
9 200419
10 201115
11 201415
12 202211
13 20158
14 20126
15 20223
16 20232
17 20222

About Steve E. Martin

Steve E. Martin is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Emergency Medicine, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 17 papers that have together received 669 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Cardiac Arrest and Resuscitation (2 papers), Lipid metabolism and biosynthesis (1 paper), Cardiovascular Effects of Exercise (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Respiratory viral infections research (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (159 citations), Cardiology and Cardiovascular Medicine (141 citations), Cancer Research (80 citations), Orthopedics and Sports Medicine (33 citations) and Surgery (120 citations). Steve E. Martin has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Steve Eric Humphries, Philippa J. Talmud, Viviane Nicaud, Bernadette M Boden-Albala, Mitchell S Elkind, John G. Pittman, Ralph L. Sacco, Suh‐Hang Hank Juo, Amos I. Pasternack and Mikko Syvänne. Their work appears in journals such as Stroke, The Journal of Strength and Conditioning Research, Lipids in Health and Disease, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Life Sciences.

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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