Jonathan Vecchiarelli
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
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- Diabetes Treatment and Management 2
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- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Kathryn V. Isaac (1 shared paper)Vladimir V. Iakovlev (1 shared paper)Qiuwang Zhang (1 shared paper)Duncan John Stewart (1 shared paper)Michael J.B. Kutryk (1 shared paper)Nona C. R. Arneson (1 shared paper)Susan J. Done (1 shared paper)Rashmi S. Goswami (1 shared paper)
- Journals
- The Lancet (2 papers)Breast Cancer Research and Treatment (1 paper)JAMA (1 paper)Molecular Therapy (1 paper)
- Partner nations
- Canada
In The Last Decade
Jonathan Vecchiarelli
5 papers receiving 2.8k citations
Jonathan Vecchiarelli's Hit Papers
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 2.1k
- Nephrology 413
- Cardiology and Cardiovascular Medicine 294
- Transplantation 20
- Pharmacology 78
Countries citing papers authored by Jonathan Vecchiarelli
This map shows the geographic impact of Jonathan Vecchiarelli'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 Jonathan Vecchiarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Vecchiarelli more than expected).
Fields of papers citing papers by Jonathan Vecchiarelli
This network shows the impact of papers produced by Jonathan Vecchiarelli. 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 Jonathan Vecchiarelli. The network helps show where Jonathan Vecchiarelli may publish in the future.
Co-authors
The 8 scholars most cited alongside Jonathan Vecchiarelli, 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 | Dulaglutide and cardiovascular outcomes in type 2 diabetes (REWIND): a double-blind, randomised placebo-controlled trial Hit paper breakdown → | 2019 | 2345 |
| 2 | Dulaglutide and renal outcomes in type 2 diabetes: an exploratory analysis of the REWIND randomised, placebo-controlled trial Hit paper breakdown → | 2019 | 498 |
| 3 | 2011 | 31 | |
| 4 | 2007 | 20 | |
| 5 | 2025 | 17 |
About Jonathan Vecchiarelli
Jonathan Vecchiarelli is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 5 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Blood Pressure and Hypertension Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Renin-Angiotensin System Studies (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Nephrology (413 citations), Cardiology and Cardiovascular Medicine (294 citations), Transplantation (20 citations) and Pharmacology (78 citations). Jonathan Vecchiarelli has collaborated with scholars based in Canada. Frequent co-authors include Kathryn V. Isaac, Vladimir V. Iakovlev, Qiuwang Zhang, Duncan John Stewart, Michael J.B. Kutryk, Nona C. R. Arneson, Susan J. Done and Rashmi S. Goswami. Their work appears in journals such as The Lancet, Breast Cancer Research and Treatment, JAMA and Molecular 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.