Scott McBride

928 citations
18 papers · 579 · h-index 10

Impact in

Papers in

Scott McBride

17 papers receiving 548 citations

Peers

Scott McBride
Comparison fields: 5 of 68
  • Surgery 386
  • Endocrinology, Diabetes and Metabolism 132
  • Cancer Research 91
  • Epidemiology 136
  • Economics and Econometrics 101
Replace Yuling Dai with:
Yuling Dai United States
J.P. Empana France
Krzysztof Dyrbuś Poland
Paul J. Dluzniewski United States
Haseeb Jafri United States
Elizabeth M. Garry United States
Krista M. Dale United States
Barbara Iyen United Kingdom
An K. Stroobants Netherlands
Hayley Bennett United Kingdom
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Citations per field
00.5×4.3×
Yuling Dai · 1×
Citations per year

Countries citing papers authored by Scott McBride

Since Specialization
Citations

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

Fields of papers citing papers by Scott McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014135
2 2015121
3
Treating to meet NCEP-recommended LDL cholesterol concentrations with atorvastatin, fluvastatin, lovastatin, or simvastatin in patients with risk factors for coronary heart disease.
199862
4 199853
5 201950
6 201646
7 200240
8 199829
9 199919
10 200810
11 20143
12 20143
13 20022
14 20032
15 20152
16 20021
17 20151
18 20130

About Scott McBride

Scott McBride is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Economics and Econometrics, having authored 18 papers that have together received 579 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Neonatal Respiratory Health Research (3 papers), Respiratory viral infections research (3 papers), Congenital Diaphragmatic Hernia Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Patient-Provider Communication in Healthcare (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Surgery (386 citations), Endocrinology, Diabetes and Metabolism (132 citations), Cancer Research (91 citations), Epidemiology (136 citations) and Economics and Econometrics (101 citations). Scott McBride has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Roger S. Newton, Diane MacDougall, Janice R. Margulies, Paul M. Thompson, John Rubino, Matthew Janik, Jeffrey C. Hanselman, Mark A. Milad, Poul Strange and María J. Gutiérrez. Their work appears in journals such as Journal of clinical lipidology, American Journal of Perinatology, Cancer, Open Forum Infectious Diseases and Arteriosclerosis Thrombosis and Vascular Biology.

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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