Martin Shipley

1.1k citations
13 papers · 870 · h-index 8

Impact in

Papers in

Martin Shipley

12 papers receiving 812 citations

Peers

Martin Shipley
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 299
  • Cardiology and Cardiovascular Medicine 214
  • Pulmonary and Respiratory Medicine 170
  • Physiology 94
  • Epidemiology 119
Replace Kun‐Tai Lee with:
Kun‐Tai Lee Taiwan
Radhakrishnan Ravikumar India
Howard Ellison United Kingdom
Kim L. Wearne Australia
Denish Moorthy United States
Franco Marini Italy
Hüsniye Yüksel Türkiye
Lance E. Sullenberger United States
Sofia Miceli Italy
Shahnaz Khan United States
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Citations per field
00.5×2×2.7×
Kun‐Tai Lee · 1×
Citations per year

Countries citing papers authored by Martin Shipley

Since Specialization
Citations

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

Fields of papers citing papers by Martin Shipley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1998483
2 2011132
3 2010130
4 198044
5 198325
6 199719
7 199815
8 201114
9 20133
10 19932
11
Cardiothoracic ratio within the "normal'' range independently predicts mortality in patients undergoing coronary angiography
20071
12 20121
13
World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
20191

About Martin Shipley

Martin Shipley is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 870 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (4 papers), Cardiovascular Function and Risk Factors (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Smoking Behavior and Cessation (2 papers), Cardiac Imaging and Diagnostics (2 papers), Air Quality and Health Impacts (2 papers), Peripheral Artery Disease Management (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (299 citations), Cardiology and Cardiovascular Medicine (214 citations), Pulmonary and Respiratory Medicine (170 citations), Physiology (94 citations) and Epidemiology (119 citations). Martin Shipley has collaborated with scholars based in United Kingdom, France and Finland. Frequent co-authors include Anne Forhan, Kalevi Pyörälà, É. Eschwège, Marja Pyörälä, Beverley Balkau, Hugh Stephen Markus, Alice King, Raffi Topakian, Soonwook Kwon and Arjen S. Schaafsma. Their work appears in journals such as Journal of Vascular Surgery, The Lancet, Stroke, Journal of Hypertension and PLoS Medicine.

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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