Robert C. Scott

140 papers receiving 11.3k citations

Robert C. Scott's Hit Papers

Effect of Evolocumab on Progression of Coronary Disease in Statin-Treated Patients 2016 · 829 citations
8290+15+30Years since publication2505007501000

Peers

Robert C. Scott
Comparison fields: 5 of 185
  • Surgery 7.4k
  • Pharmaceutical Science 544
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Economics and Econometrics 2.2k
  • Cancer Research 1.0k
Replace Thomas J. Cook with:
Thomas J. Cook United States
Wanqing Chen China
Philip Hougaard Denmark
Wai K. Leung Hong Kong
Robert M. Elashoff United States
Rongshou Zheng China
Hongmei Zeng China
Tong Liu China
Siwei Zhang China
Qing Ye China
Robert C. Scott relative to Thomas J. Cook United States Thomas J. Cook's profile →
Citations per field
00.5×11.8×
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Citations per year

Countries citing papers authored by Robert C. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficacy and Safety of Evolocumab in Reducing Lipids and Cardiovascular Events
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20151146
2
Effect of Evolocumab on Progression of Coronary Disease in Statin-Treated Patients
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2016829
3
2-Hydroxypropyl-β-cyclodextrin (HP-β-CD): A toxicology review
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2005645
4
PCSK9 inhibition with evolocumab (AMG 145) in heterozygous familial hypercholesterolaemia (RUTHERFORD-2): a randomised, double-blind, placebo-controlled trial
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2014588
5
A 52-Week Placebo-Controlled Trial of Evolocumab in Hyperlipidemia
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2014583
6
Inhibition of PCSK9 with evolocumab in homozygous familial hypercholesterolaemia (TESLA Part B): a randomised, double-blind, placebo-controlled trial
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2014572
7
On The Direction of Preference for Moments of Higher Order Than The Variance
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1980528
8
Anti-PCSK9 Antibody Effectively Lowers Cholesterol in Patients With Statin Intolerance
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2014434
9
Effect of Evolocumab or Ezetimibe Added to Moderate- or High-Intensity Statin Therapy on LDL-C Lowering in Patients With Hypercholesterolemia
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2014420
10
Low-Density Lipoprotein Cholesterol–Lowering Effects of AMG 145, a Monoclonal Antibody to Proprotein Convertase Subtilisin/Kexin Type 9 Serine Protease in Patients With Heterozygous Familial Hypercholesterolemia
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2012409
11
Effect of a Monoclonal Antibody to PCSK9 on Low-Density Lipoprotein Cholesterol Levels in Statin-Intolerant Patients
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2012375
12
Efficacy, safety, and tolerability of a monoclonal antibody to proprotein convertase subtilisin/kexin type 9 in combination with a statin in patients with hypercholesterolaemia (LAPLACE-TIMI 57): a randomised, placebo-controlled, dose-ranging, phase 2 study
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2012358
13
Anti-PCSK9 Monotherapy for Hypercholesterolemia
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2014348
14
Efficacy, safety, and tolerability of a monoclonal antibody to proprotein convertase subtilisin/kexin type 9 as monotherapy in patients with hypercholesterolaemia (MENDEL): a randomised, double-blind, placebo-controlled, phase 2 study
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2012300
15
Reduction in Lipoprotein(a) With PCSK9 Monoclonal Antibody Evolocumab (AMG 145)
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2014287
16 2013275
17 1988186
18 2013182
19 2016174
20 2005162

About Robert C. Scott

Robert C. Scott is a scholar working on Surgery, Economics and Econometrics, Computational Mechanics, Aerospace Engineering and Cardiology and Cardiovascular Medicine, having authored 146 papers that have together received 11.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (53 papers), Computational Fluid Dynamics and Aerodynamics (11 papers), Aerospace and Aviation Technology (9 papers), Advancements in Transdermal Drug Delivery (8 papers), Innovation Policy and R&D (6 papers), Contact Dermatitis and Allergies (5 papers), Aeroelasticity and Vibration Control (5 papers) and Pharmaceutical Economics and Policy (5 papers). The work is most often cited by research in Surgery (7.4k citations), Pharmaceutical Science (544 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Economics and Econometrics (2.2k citations) and Cancer Research (1.0k citations). Robert C. Scott has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Scott M. Wasserman, Evan A. Stein, Frederick J. Raal, Sarah Gould, Philip A. Horvath, Michael J. Koren, Dirk Blom, Ransi Somaratne, Robert P. Giugliano and Marc S. Sabatine. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, The Lancet, American Heart Journal and Journal of clinical lipidology.

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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