Cataldo Abaterusso
- Nephrology top 0.5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Co-authors
- Giovanni GambaroEnrico BroccoR. NosadiniMario VelussiGiovanni TargherEnzo BonoraMichel ChoncholGiacomo Zoppini
- Topics
- Chronic Kidney Disease and Diabetes (19 papers)Dialysis and Renal Disease Management (9 papers)Diabetes Treatment and Management (7 papers)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Cataldo Abaterusso
45 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Nephrology 1.2k
- Endocrinology, Diabetes and Metabolism 446
- Cardiology and Cardiovascular Medicine 347
- Pulmonary and Respiratory Medicine 289
- Epidemiology 288
Countries citing papers authored by Cataldo Abaterusso
This map shows the geographic impact of Cataldo Abaterusso'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 Cataldo Abaterusso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cataldo Abaterusso more than expected).
Fields of papers citing papers by Cataldo Abaterusso
This network shows the impact of papers produced by Cataldo Abaterusso. 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 Cataldo Abaterusso. The network helps show where Cataldo Abaterusso may publish in the future.
Co-authorship network of co-authors of Cataldo Abaterusso
This figure shows the co-authorship network connecting the top 25 collaborators of Cataldo Abaterusso. A scholar is included among the top collaborators of Cataldo Abaterusso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cataldo Abaterusso. Cataldo Abaterusso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 84 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | Primary IgA nephropathy is more severe in TGF-beta1 high secretor patients. | 12 |
| 9 | 67 | |
| 10 | 139 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 4 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 36 | |
| 17 | 101 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 67 |
About Cataldo Abaterusso
Cataldo Abaterusso is a scholar working on Nephrology, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (19 papers), Dialysis and Renal Disease Management (9 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Nephrology (1.2k citations), Endocrinology, Diabetes and Metabolism (446 citations) and Cardiology and Cardiovascular Medicine (347 citations). Cataldo Abaterusso has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Giovanni Gambaro, Enrico Brocco, R. Nosadini, Mario Velussi, Giovanni Targher, Enzo Bonora, Michel Chonchol, Giacomo Zoppini, Paola Fioretto and Maria Sambataro. Their work appears in journals such as Diabetes Care, Diabetes 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.