Steve Riley
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- Cardiac electrophysiology and arrhythmias 11
- Nephrology top 5%
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 5
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- Amyloidosis: Diagnosis, Treatment, Outcomes 9
- Receptor Mechanisms and Signaling 4
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
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- Computational Drug Discovery Methods 5
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- Eosinophilic Disorders and Syndromes 5
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- Peptidase Inhibition and Analysis 4
- Co-authors
- Christine GarnettGeorg FerberGiampaolo MerliniDaniel P. JudgeMarla B. SultanPhilip T. SagerNenad SarapaJames J. Keirns
- Journals
- The Journal of Clinical Pharmacology (4 papers)Journal of Pharmacokinetics and Pharmacodynamics (4 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Steve Riley
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Cardiology and Cardiovascular Medicine 373
- Nephrology 111
- Statistics and Probability 84
- Molecular Biology 626
- Genetics 92
Countries citing papers authored by Steve Riley
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 124 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 2 | |
| 10 | 2017 | 170 | |
| 11 | Modeling the Neuropsychiatric Inventory (NPI) - Strengths and Weaknesses of a Multidimensional Item Response Theory Approach | 2015 | 1 |
| 12 | 2014 | 18 | |
| 13 | 2014 | 48 | |
| 14 | 2013 | 20 | |
| 15 | 2013 | 81 | |
| 16 | 2012 | 1 | |
| 17 | 2010 | 10 | |
| 18 | 2009 | 12 | |
| 19 | Protect Your Windows Network: From Perimeter to Data (Microsoft Technology) | 2005 | 2 |
| 20 | 2003 | 17 |
About Steve Riley
Steve Riley is a scholar working on Family Practice, Medical Laboratory Technology and Statistics and Probability, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Computational Drug Discovery Methods (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Statistical Methods in Clinical Trials (5 papers), Peptidase Inhibition and Analysis (4 papers), Receptor Mechanisms and Signaling (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (373 citations), Nephrology (111 citations) and Statistics and Probability (84 citations). Steve Riley has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Christine Garnett, Georg Ferber, Giampaolo Merlini, Daniel P. Judge, Marla B. Sultan, Philip T. Sager, Nenad Sarapa, James J. Keirns, Charles Benson and Börje Darpö. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology and Journal of Renal Care.
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.