Diego Barbieri
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
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- Central Venous Catheters and Hemodialysis
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Dialysis and Renal Disease Management 2
- Chronic Kidney Disease and Diabetes 1
- Acute Kidney Injury Research 1
- Co-authors
- José Luño (6 shared papers)Ana García‐Prieto (9 shared papers)Esther Torres (3 shared papers)Inés Aragoncillo (4 shared papers)Eduardo Verde (7 shared papers)Almudena Vega (2 shared papers)Tania Liñares (2 shared papers)Úrsula Verdalles (7 shared papers)
- Journals
- Clinical Kidney Journal (4 papers)Journal of Nephrology (1 paper)Hipertensión y Riesgo Vascular (3 papers)Nefrología (English Edition) (1 paper)Nefrología (1 paper)
- Partner nations
- Spain
In The Last Decade
Diego Barbieri
10 papers receiving 122 citations
Peers
Comparison fields: 5 of 41
- Nephrology 75
- Emergency Medical Services 16
- Hematology 7
- Endocrinology, Diabetes and Metabolism 9
- Hepatology 4
Countries citing papers authored by Diego Barbieri
This map shows the geographic impact of Diego Barbieri'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 Diego Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Barbieri more than expected).
Fields of papers citing papers by Diego Barbieri
This network shows the impact of papers produced by Diego Barbieri. 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 Diego Barbieri. The network helps show where Diego Barbieri may publish in the future.
Co-authors
The 22 scholars most cited alongside Diego Barbieri, 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 | 2018 | 59 | |
| 2 | 2018 | 24 | |
| 3 | 2019 | 22 | |
| 4 | 2024 | 5 | |
| 5 | 2018 | 4 | |
| 6 | 2022 | 3 | |
| 7 | [Progeria: case repo with progressive systemic sclerotic manifestations since birth]. | 1969 | 3 |
| 8 | 2020 | 2 | |
| 9 | 2019 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2020 | 0 |
About Diego Barbieri
Diego Barbieri is a scholar working on Epidemiology, Nephrology, Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 11 papers that have together received 124 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Dialysis and Renal Disease Management (2 papers), Central Venous Catheters and Hemodialysis (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Acute Kidney Injury Research (1 paper), Mitochondrial Function and Pathology (1 paper), Hepatitis C virus research (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Nephrology (75 citations), Emergency Medical Services (16 citations), Hematology (7 citations), Endocrinology, Diabetes and Metabolism (9 citations) and Hepatology (4 citations). Diego Barbieri has collaborated with scholars based in Spain. Frequent co-authors include José Luño, Ana García‐Prieto, Esther Torres, Inés Aragoncillo, Eduardo Verde, Almudena Vega, Tania Liñares, Úrsula Verdalles, Andrés Hernández and Nicolás Macías. Their work appears in journals such as Clinical Kidney Journal, Journal of Nephrology, Hipertensión y Riesgo Vascular, Nefrología (English Edition) and Nefrología.
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.