Elena Repetti
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Chronic Kidney Disease and Diabetes
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Diabetes Treatment and Management 2
- Diet, Metabolism, and Disease 1
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- Molecular Biology Techniques and Applications 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- P. Cavallo‐Perin (6 shared papers)Simona Bo (5 shared papers)Luigi Gentile (5 shared papers)G Pagano (2 shared papers)Gianfranco Pagano (4 shared papers)C. Olivetti (2 shared papers)Alberto Bruno (2 shared papers)Gabriella Gruden (1 shared paper)
In The Last Decade
Elena Repetti
11 papers receiving 274 citations
Peers
Comparison fields: 5 of 60
- Nephrology 128
- Endocrinology, Diabetes and Metabolism 83
- Pathology and Forensic Medicine 68
- Epidemiology 82
- Genetics 50
Countries citing papers authored by Elena Repetti
This map shows the geographic impact of Elena Repetti'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 Elena Repetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Repetti more than expected).
Fields of papers citing papers by Elena Repetti
This network shows the impact of papers produced by Elena Repetti. 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 Elena Repetti. The network helps show where Elena Repetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Elena Repetti, 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 | 2001 | 126 | |
| 2 | 2000 | 38 | |
| 3 | 2000 | 31 | |
| 4 | 2015 | 20 | |
| 5 | 1995 | 19 | |
| 6 | 2005 | 19 | |
| 7 | 2015 | 11 | |
| 8 | Low HDL-cholesterol: a component of the metabolic syndrome only in the presence of fasting hypertriglyceridemia in type 2 diabetic patients. | 2001 | 10 |
| 9 | 2015 | 7 | |
| 10 | 1995 | 5 | |
| 11 | 2021 | 4 |
About Elena Repetti
Elena Repetti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Nephrology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer Genomics and Diagnostics (2 papers), Diabetes Treatment and Management (2 papers), Molecular Biology Techniques and Applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Single-cell and spatial transcriptomics (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Nephrology (128 citations), Endocrinology, Diabetes and Metabolism (83 citations), Pathology and Forensic Medicine (68 citations), Epidemiology (82 citations) and Genetics (50 citations). Elena Repetti has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include P. Cavallo‐Perin, Simona Bo, Luigi Gentile, G Pagano, Gianfranco Pagano, C. Olivetti, Alberto Bruno, Gabriella Gruden, R. Sivieri and G. F. Pagano. Their work appears in journals such as Diabetologia, European Journal of Clinical Investigation, Diabetic Medicine, Acta Diabetologica and Journal of Vascular and Interventional Radiology.
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.