Steven Snapinn
- Nephrology top 0.1%
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- Blood Pressure and Hypertension Studies 19
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- Hormonal Regulation and Hypertension 9
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 41
- Advanced Causal Inference Techniques 14
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 9
- Transplantation top 2%
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- Health Systems, Economic Evaluations, Quality of Life 21
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- Optimal Experimental Design Methods 12
- Co-authors
- Shahnaz ShahinfarBarry M. BrennerWilliam F. KeaneDick de ZeeuwWilliam E. MitchMark E. CooperGiuseppe RemuzziHans‐Henrik Parving
- Journals
- Statistics in Medicine (14 papers)Statistics in Biopharmaceutical Research (7 papers)Circulation (6 papers)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Steven Snapinn
107 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Nephrology 2.9k
- Cardiology and Cardiovascular Medicine 6.2k
- Endocrinology, Diabetes and Metabolism 3.7k
- Statistics and Probability 634
- Transplantation 126
Countries citing papers authored by Steven Snapinn
This map shows the geographic impact of Steven Snapinn'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 Steven Snapinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Snapinn more than expected).
Fields of papers citing papers by Steven Snapinn
This network shows the impact of papers produced by Steven Snapinn. 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 Steven Snapinn. The network helps show where Steven Snapinn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Snapinn, 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 | 2022 | 8 | |
| 2 | 2022 | 7 | |
| 3 | 2020 | 1 | |
| 4 | 2017 | 4 | |
| 5 | 2015 | 11 | |
| 6 | 2013 | 1 | |
| 7 | 2011 | 12 | |
| 8 | 2009 | 15 | |
| 9 | 2007 | 34 | |
| 10 | 2005 | 10 | |
| 11 | 2005 | 32 | |
| 12 | 2003 | 2 | |
| 13 | 2003 | 8 | |
| 14 | 2002 | 302 | |
| 15 | 1993 | 13 | |
| 16 | 1992 | 26 | |
| 17 | 1990 | 32 | |
| 18 | Comparison of intravenous tocainide with intravenous lidocaine for treating ventricular arrhythmias | 1989 | 1 |
| 19 | 1989 | 7 | |
| 20 | A method for constructing case-mix indexes, with application to hospital length of stay. | 1986 | 10 |
About Steven Snapinn
Steven Snapinn is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 110 papers that have together received 10.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (41 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers), Blood Pressure and Hypertension Studies (19 papers), Advanced Causal Inference Techniques (14 papers), Optimal Experimental Design Methods (12 papers), Statistical Methods and Inference (10 papers), Hormonal Regulation and Hypertension (9 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Nephrology (2.9k citations), Cardiology and Cardiovascular Medicine (6.2k citations) and Endocrinology, Diabetes and Metabolism (3.7k citations). Steven Snapinn has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Shahnaz Shahinfar, Barry M. Brenner, William F. Keane, Dick de Zeeuw, William E. Mitch, Mark E. Cooper, Giuseppe Remuzzi, Hans‐Henrik Parving, Qi Jiang and Jonathan M. Edelman. Their work appears in journals such as Statistics in Medicine, Statistics in Biopharmaceutical Research, Circulation, Pharmaceutical Statistics and The American Journal of Cardiology.
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.