James Speirs

940 citations
22 papers · 779 indexed · h-index 14

Impact in

Papers in

James Speirs

22 papers receiving 738 citations

Peers

James Speirs
Comparison fields: 5 of 77
  • Biological Psychiatry 39
  • Endocrinology, Diabetes and Metabolism 230
  • Orthopedics and Sports Medicine 69
  • Surgery 349
  • Biochemistry 48
Replace Joshua De Leon with:
Joshua De Leon United States
Tomasz W. Kamiński Poland
Remzi Yılmaz Türkiye
Stephen J. Cleland United Kingdom
Jane L.H.C. Third United States
Neil I. Kaminsky United States
Susanne Breuer Germany
Tarunveer S. Ahluwalia Denmark
Masayasu Yoneda Japan
Fabrizio Ceci Italy
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Citations per field
00.5×4.6×
Joshua De Leon · 1×
Citations per year

Countries citing papers authored by James Speirs

Since Specialization
Citations

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

Fields of papers citing papers by James Speirs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside James Speirs, 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 James Speirs Line = papers co-authored together James Speirs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Measurement of lipoprotein (a): comparison of Macra and Imubind methods.
19965
2 199464
3 19943
4 199414
5 199377
6 199311
7 199337
8 199350
9
Endogenous testosterone, fibrinolysis, and coronary heart disease risk in hyperlipidemic men.
199373
10 199244
11 199224
12 199127
13 199137
14 1991169
15 199135
16 199111
17 199011
18 19903
19
Lack of concordance in classification of coronary heart disease risk: high-risk HDL cholesterol less than 35 mg/dl in subjects with desirable total serum cholesterol, less than 200 mg/dl.
19906
20 197861

About James Speirs

James Speirs is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry, Surgery, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 779 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Blood properties and coagulation (4 papers), Hormonal and reproductive studies (4 papers), Cancer, Lipids, and Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Diet and metabolism studies (2 papers) and Cardiac Health and Mental Health (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Endocrinology, Diabetes and Metabolism (230 citations), Orthopedics and Sports Medicine (69 citations), Surgery (349 citations) and Biochemistry (48 citations). James Speirs has collaborated with scholars based in United States and Venezuela. Frequent co-authors include Charles J. Glueck, Trent Tracy, Davis Stroop, Patricia Streicher, Helen I. Glueck, S Hirsch, James E. Lang, T Hamer, Soaira G. Mendoza and Paul Lichtenstein. Their work appears in journals such as Metabolism, The American Journal of the Medical Sciences, Clinica Chimica Acta, Biological Psychiatry and Pediatric Research.

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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