G. Casini

193 papers receiving 3.6k citations

Peers

G. Casini
Comparison fields: 5 of 150
  • Developmental Biology 154
  • Ophthalmology 554
  • Cellular and Molecular Neuroscience 855
  • Developmental Neuroscience 108
  • Endocrine and Autonomic Systems 169
Replace Serge Picaud with:
Serge Picaud France
James W. Lewis United States
Takashi Watanabe Japan
Ferenc Gallyas Hungary
Douglas Ballon United States
Gijs F.J.M. Vrensen Netherlands
Ichiji Tasaki United States
David J. Cutler United States
Cornelius Faber Germany
Junichi Iwata United States
G. Casini relative to Serge Picaud France Serge Picaud's profile →
Citations per field
00.5×10×17.1×
Serge Picaud · 1×
Citations per year

Countries citing papers authored by G. Casini

Since Specialization
Citations

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

Fields of papers citing papers by G. Casini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986190
2 1977108
3 201990
4 198881
5 199079
6 199578
7 201376
8 201975
9 201671
10 200371
11 201466
12 199064
13 199159
14 201757
15 199355
16 200754
17 201151
18 199250
19 202046
20 199344

About G. Casini

G. Casini is a scholar working on Molecular Biology, Nuclear and High Energy Physics, Cellular and Molecular Neuroscience, Organic Chemistry and Ophthalmology, having authored 204 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nuclear physics research studies (28 papers), Receptor Mechanisms and Signaling (25 papers), Retinal Development and Disorders (23 papers), Neuropeptides and Animal Physiology (20 papers), Neuroscience and Neuropharmacology Research (15 papers), Retinal Diseases and Treatments (15 papers), Nuclear Physics and Applications (15 papers) and Fusion materials and technologies (15 papers). The work is most often cited by research in Developmental Biology (154 citations), Ophthalmology (554 citations), Cellular and Molecular Neuroscience (855 citations), Developmental Neuroscience (108 citations) and Endocrine and Autonomic Systems (169 citations). G. Casini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paola Bagnoli, Massimo Dal Monte, Verner P. Bingman, Nicholas C. Brecha, Paolo Ioalè, Maria Grazia Rossino, Elisabetta Catalani, Davide Cervia, Francesco Campagna and Dennis W. Rickman. Their work appears in journals such as The Journal of Comparative Neurology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Fusion Engineering and Design, Physical Review Letters and Neuroscience.

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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