Steve Snapinn
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
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- Blood Pressure and Hypertension Studies
- Renin-Angiotensin System Studies
- Heart Failure Treatment and Management
Papers in
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- Statistical Methods in Clinical Trials 3
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- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Barry M. BrennerShahnaz ShahinfarHans‐Henrik ParvingWilliam F. KeaneDick de ZeeuwWilliam E. MitchMark E. CooperGiuseppe Remuzzi
- Journals
- The American Journal of Cardiology (2 papers)Journal of Statistical Computation and Simulation (1 paper)Journal of Hypertension (1 paper)Clinical Trials (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Steve Snapinn
10 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Nephrology 792
- Cardiology and Cardiovascular Medicine 861
- Endocrinology, Diabetes and Metabolism 532
- Pulmonary and Respiratory Medicine 184
- Nutrition and Dietetics 86
Countries citing papers authored by Steve Snapinn
This map shows the geographic impact of Steve 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 Steve Snapinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Snapinn more than expected).
Fields of papers citing papers by Steve Snapinn
This network shows the impact of papers produced by Steve 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 Steve Snapinn. The network helps show where Steve Snapinn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve 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 | 2024 | 0 | |
| 2 | 2020 | 38 | |
| 3 | Proteinuria, a target for renoprotection in patients with type 2 diabetic nephropathy: Lessons from RENAAL Hit paper breakdown → | 2004 | 731 |
| 4 | 2004 | 1 | |
| 5 | 2004 | 10 | |
| 6 | Albuminuria, a Therapeutic Target for Cardiovascular Protection in Type 2 Diabetic Patients With Nephropathy Hit paper breakdown → | 2004 | 567 |
| 7 | 1998 | 33 | |
| 8 | 1995 | 4 | |
| 9 | 1995 | 14 | |
| 10 | 1992 | 61 | |
| 11 | 1990 | 85 |
About Steve Snapinn
Steve Snapinn is a scholar working on Statistics and Probability, Nephrology, Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Analytical Chemistry, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Heart Failure Treatment and Management (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Renin-Angiotensin System Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Nephrology (792 citations), Cardiology and Cardiovascular Medicine (861 citations), Endocrinology, Diabetes and Metabolism (532 citations), Pulmonary and Respiratory Medicine (184 citations) and Nutrition and Dietetics (86 citations). Steve Snapinn has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Barry M. Brenner, Shahnaz Shahinfar, Hans‐Henrik Parving, William F. Keane, Dick de Zeeuw, William E. Mitch, Mark E. Cooper, Giuseppe Remuzzi, Zhongxin Zhang and John Kjekshus. Their work appears in journals such as The American Journal of Cardiology, Journal of Statistical Computation and Simulation, Journal of Hypertension, Clinical Trials and Kidney International.
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.