R Cirillo

66 papers receiving 2.5k citations

R Cirillo's Hit Papers

Blockade of PI3Kγ suppresses joint inflammation and damage in mouse models of rheumatoid arthritis 2005 · 663 citations
6630+7+14Years since publication200400600

Peers

R Cirillo
Comparison fields: 5 of 112
  • Immunology 570
  • Hematology 189
  • Rheumatology 237
  • Developmental Neuroscience 66
  • Immunology and Allergy 89
Replace Yi Shen with:
Yi Shen China
Shigeki Miyamoto United States
Albert Amberger Austria
Kazuhiro Oka United States
Shoichi Iseki Japan
Satoshi Ishii Japan
Alice Lin United States
Torayuki Okuyama Japan
Gabriella Nicolini Italy
Yoshikatsu Eto Japan
R Cirillo relative to Yi Shen China Yi Shen's profile →
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Citations per year

Countries citing papers authored by R Cirillo

Since Specialization
Citations

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

Fields of papers citing papers by R Cirillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R Cirillo, 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 R Cirillo Line = papers co-authored together R Cirillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blockade of PI3Kγ suppresses joint inflammation and damage in mouse models of rheumatoid arthritis
Hit paper breakdown →
2005663
2 2001181
3 2001177
4 2004137
5 2004132
6 2004131
7 2005110
8 200097
9 200859
10 200855
11 200152
12 199552
13 199651
14 200748
15 199740
16 200038
17 199734
18 199332
19 200331
20 200028

About R Cirillo

R Cirillo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Immunology and Cardiology and Cardiovascular Medicine, having authored 69 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers), Cardiac Ischemia and Reperfusion (6 papers), Diabetes and associated disorders (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Renin-Angiotensin System Studies (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (570 citations), Hematology (189 citations), Rheumatology (237 citations), Developmental Neuroscience (66 citations) and Immunology and Allergy (89 citations). R Cirillo has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pierre‐Alain Vitte, Chiara Ferrandi, Stefano Manzini, Denise Gretener, Montserrat Camps, Christian Chabert, Matthias Schwarz, Thomas Rückle, Christian Rommel and Pierre Graber. Their work appears in journals such as European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, British Journal of Pharmacology and Journal of Cardiovascular Pharmacology.

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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