Dario Roccatello

393 papers receiving 9.9k citations

Dario Roccatello's Hit Papers

Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy 2023 · 120 citations
1200+2+4Years since publication50100150200

Peers

Dario Roccatello
Comparison fields: 5 of 137
  • Nephrology 2.4k
  • Rheumatology 3.9k
  • Hepatology 1.2k
  • Hematology 1.4k
  • Immunology 1.5k
Replace Gerard Espinosa with:
Gerard Espinosa Spain
Jean‐Charles Piette France
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Citations per year

Countries citing papers authored by Dario Roccatello

Since Specialization
Citations

This map shows the geographic impact of Dario Roccatello'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 Dario Roccatello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Roccatello more than expected).

Fields of papers citing papers by Dario Roccatello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario Roccatello. 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 Dario Roccatello. The network helps show where Dario Roccatello may publish in the future.

Co-authors

The 25 scholars most cited alongside Dario Roccatello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dario Roccatello Line = papers co-authored together Dario Roccatello links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 424 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011306
2
Pilot prospective open, single-arm multicentre study on off-label use of tocilizumab in patients with severe COVID-19.
Hit paper breakdown →
2020244
3 2013242
4 2013212
5 2019203
6 2004196
7 2002182
8 2011163
9 2020163
10 2007161
11 2017160
12 2018156
13 2011141
14 2021133
15 2018127
16
Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy
Hit paper breakdown →
2023120
17 2013114
18 2012100
19 201796
20
Efficacy and safety of off-label use of rituximab in refractory lupus: data from the Italian Multicentre Registry.
201592

About Dario Roccatello

Dario Roccatello is a scholar working on Rheumatology, Nephrology, Hematology, Immunology and Hepatology, having authored 424 papers that have together received 10.3k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (143 papers), Renal Diseases and Glomerulopathies (98 papers), Vasculitis and related conditions (47 papers), Platelet Disorders and Treatments (33 papers), Hepatitis C virus research (29 papers), Monoclonal and Polyclonal Antibodies Research (29 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers) and Complement system in diseases (18 papers). The work is most often cited by research in Nephrology (2.4k citations), Rheumatology (3.9k citations), Hepatology (1.2k citations), Hematology (1.4k citations) and Immunology (1.5k citations). Dario Roccatello has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Savino Sciascia, Munther A. Khamashta, Simone Baldovino, Massimo Radin, María Laura Bertolaccini, Giovanni Sanna, Daniela Rossi, Carla Naretto, Irene Cecchi and Elisa Menegatti. Their work appears in journals such as Autoimmunity Reviews, Nephrology Dialysis Transplantation, Journal of Nephrology, ˜The œNephron journals/Nephron journals and Lara D. Veeken.

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.

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