Erica Daina
- Nephrology top 0.2%
- Renal Diseases and Glomerulopathies 21
- Transplantation top 1%
- Immunology top 1%
- Complement system in diseases 23
- Hematology top 1%
- Platelet Disorders and Treatments 10
- Physiology top 1%
- Lysosomal Storage Disorders Research 3
- Adenosine and Purinergic Signaling 3
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- Vasculitis and related conditions 7
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- Genomics and Rare Diseases 4
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- Renal and related cancers 3
- Co-authors
- Giuseppe RemuzziMarina NorisArrigo SchieppatiSara GambaElena BresinAnita AperiaJan‐Inge HenterJessica Caprioli
- Cited by
- NephrologyTransplantationImmunology
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Erica Daina
42 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Nephrology 1.7k
- Transplantation 283
- Immunology 2.0k
- Hematology 831
- Physiology 307
Countries citing papers authored by Erica Daina
This map shows the geographic impact of Erica Daina'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 Erica Daina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erica Daina more than expected).
Fields of papers citing papers by Erica Daina
This network shows the impact of papers produced by Erica Daina. 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 Erica Daina. The network helps show where Erica Daina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erica Daina, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 16 | |
| 8 | 2016 | 115 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 20 | |
| 11 | 2012 | 101 | |
| 12 | 2012 | 19 | |
| 13 | Relative Role of Genetic Complement Abnormalities in Sporadic and Familial aHUS and Their Impact on Clinical Phenotypebreakdown → | 2010 | 724 |
| 14 | 2008 | 394 | |
| 15 | 2006 | 6 | |
| 16 | 2005 | 215 | |
| 17 | 2004 | 9 | |
| 18 | 2003 | 246 | |
| 19 | 1995 | 284 | |
| 20 | A long term, randomized clinical trial to evaluate the effects of ramipril on the evolution of renal function in chronic nephropathies | 1991 | 11 |
About Erica Daina
Erica Daina is a scholar working on Nephrology, Hematology and Immunology, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Complement system in diseases (23 papers), Renal Diseases and Glomerulopathies (21 papers), Platelet Disorders and Treatments (10 papers), Vasculitis and related conditions (7 papers), Genomics and Rare Diseases (4 papers), Renal and related cancers (3 papers), Lysosomal Storage Disorders Research (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Nephrology (1.7k citations), Transplantation (283 citations) and Immunology (2.0k citations). Erica Daina has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giuseppe Remuzzi, Marina Noris, Arrigo Schieppati, Sara Gamba, Elena Bresin, Anita Aperia, Jan‐Inge Henter, Jessica Caprioli, Federica Castelletti and Gaia Pianetti. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.