Gianfranco Caselli

2.1k citations
83 papers · 1.8k · h-index 24

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Osteoarthritis Treatment and Mechanisms

Papers in

Gianfranco Caselli

83 papers receiving 1.8k citations

Peers

Gianfranco Caselli
Comparison fields: 5 of 123
  • Immunology 346
  • Rheumatology 200
  • Biochemistry 82
  • Pharmacology 176
  • Molecular Biology 748
Replace Ewa Kontny with:
Ewa Kontny Poland
Rocco Cirillo Italy
José Luis Urdiales Spain
Reiner F. Haseloff Germany
Grazia Maria Liuzzi Italy
Keld Fosgerau Denmark
Stefano Marini Italy
Ling Zhang China
ALEX M. BUKO United States
Ryuichi Mashima Japan
Gianfranco Caselli relative to Ewa Kontny Poland Ewa Kontny's profile →
Citations per field
00.5×1.7×
Ewa Kontny · 1×
Citations per year

Countries citing papers authored by Gianfranco Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999289
2 2003108
3 200097
4 200862
5 199658
6 200955
7 201351
8 201147
9 202147
10 200046
11 199744
12 200944
13 199841
14 201240
15 201138
16 200135
17 201835
18 199131
19 201330
20 200830

About Gianfranco Caselli

Gianfranco Caselli is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology, Rheumatology and Immunology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (13 papers), Receptor Mechanisms and Signaling (13 papers), Chemical Synthesis and Analysis (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Estrogen and related hormone effects (6 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Asthma and respiratory diseases (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Immunology (346 citations), Rheumatology (200 citations), Biochemistry (82 citations), Pharmacology (176 citations) and Molecular Biology (748 citations). Gianfranco Caselli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Riccardo Bertini, Marco Lanza, Laura Mennuni, Lucio Claudio Rovati, Riccardo Chiusaroli, Cinzia Bizzarri, Pietro Ghezzi, G. Melillo, Francesco Makovec and Andrea Cappelli. Their work appears in journals such as Osteoarthritis and Cartilage, Bioorganic & Medicinal Chemistry Letters, Pharmacological Research, Journal of Pain Research and British Journal of 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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