Steve Riley

54 papers receiving 3.3k citations

Steve Riley's Hit Papers

Tafamidis Treatment for Patients with Transthyretin Amyloid Cardiomyopathy 2018 · 2.0k citations
2.0k0+2+5Years since publication50010001.5k

Peers

Steve Riley
Comparison fields: 5 of 141
  • Nephrology 434
  • Cardiology and Cardiovascular Medicine 729
  • Molecular Biology 2.3k
  • Rheumatology 346
  • Genetics 215
Replace Sabapathy P. Balasubramanian with:
Sabapathy P. Balasubramanian United Kingdom
Sheldon Bastacky United States
Justyna Siwy Germany
Minxian Wang United States
Ondřej Topolčan Czechia
Ian H Chin-Yee Canada
N. Gretz Germany
Steven A. Bigler United States
Laura H. Mariani United States
Xuefeng Wang China
Steve Riley relative to Sabapathy P. Balasubramanian United Kingdom Sabapathy P. Balasubramanian's profile →
Citations per field
00.5×2×4×6×8.3×
Sabapathy P. Balasubramanian · 1×
Citations per year

Countries citing papers authored by Steve Riley

Since Specialization
Citations

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

Fields of papers citing papers by Steve Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tafamidis Treatment for Patients with Transthyretin Amyloid Cardiomyopathy
Hit paper breakdown →
20181990
2 2017186
3 2013161
4 2020160
5 2015155
6 2016142
7 201387
8 201773
9 201454
10 202042
11 202133
12 201832
13 202324
14 201324
15 200722
16 201421
17 201417
18 200617
19 200914
20 200913

About Steve Riley

Steve Riley is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Molecular Biology, Nephrology and Computational Theory and Mathematics, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (14 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (12 papers), Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (6 papers), Statistical Methods in Clinical Trials (5 papers), Nuclear Physics and Applications (4 papers), Nuclear reactor physics and engineering (4 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). The work is most often cited by research in Nephrology (434 citations), Cardiology and Cardiovascular Medicine (729 citations), Molecular Biology (2.3k citations), Rheumatology (346 citations) and Genetics (215 citations). Steve Riley has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Christine E. Garnett, Giampaolo Merlini, Georg Ferber, Marla B. Sultan, Daniel Philip Judge, Balarama K. Gundapaneni, Jeffrey H. Schwartz, Philip T. Sager, Terrell Ann Patterson and Charles Benson. Their work appears in journals such as The Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, Review of African Political Economy and Cardiology and Therapy.

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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