Gianluca Scuderi

146 total papers · 2.1k total citations
89 papers, 1.4k citations indexed

About

Gianluca Scuderi is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Gianluca Scuderi has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Ophthalmology, 42 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Molecular Biology. Recurrent topics in Gianluca Scuderi's work include Glaucoma and retinal disorders (36 papers), Retinal Diseases and Treatments (31 papers) and Retinal Imaging and Analysis (21 papers). Gianluca Scuderi is often cited by papers focused on Glaucoma and retinal disorders (36 papers), Retinal Diseases and Treatments (31 papers) and Retinal Imaging and Analysis (21 papers). Gianluca Scuderi collaborates with scholars based in Italy, United States and United Kingdom. Gianluca Scuderi's co-authors include Solmaz Abdolrahimzadeh, Andrea Perdicchi, Serena Fragiotta, Santi Maria Recupero, Luca Scuderi, Angelica Cerulli, Federico Ricci, Pasquale Plateroti, Andrea Maria Plateroti and Federico Regine and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Frontiers in Microbiology.

In The Last Decade

Gianluca Scuderi

86 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gianluca Scuderi 874 608 345 208 165 89 1.4k
Francisco J. Ascaso 1.2k 1.3× 798 1.3× 236 0.7× 170 0.8× 109 0.7× 99 1.7k
Z Zagórski 759 0.9× 501 0.8× 254 0.7× 129 0.6× 46 0.3× 90 1.2k
Raffaele Mancino 1.1k 1.2× 607 1.0× 471 1.4× 117 0.6× 123 0.7× 65 1.7k
Madeleine Zetterberg 867 1.0× 482 0.8× 487 1.4× 220 1.1× 120 0.7× 106 1.5k
Qi Chen 705 0.8× 679 1.1× 293 0.8× 269 1.3× 141 0.9× 83 1.7k
Yong Un Shin 881 1.0× 684 1.1× 183 0.5× 83 0.4× 89 0.5× 96 1.3k
Mengyu Wang 679 0.8× 649 1.1× 415 1.2× 234 1.1× 142 0.9× 140 1.6k
Nan Jiang 429 0.5× 263 0.4× 589 1.7× 227 1.1× 125 0.8× 99 1.8k
Jianjun Li 462 0.5× 502 0.8× 364 1.1× 455 2.2× 87 0.5× 102 1.7k
Zheng He 712 0.8× 359 0.6× 583 1.7× 78 0.4× 159 1.0× 73 1.4k

Countries citing papers authored by Gianluca Scuderi

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Scuderi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Scuderi

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Scuderi. A scholar is included among the top collaborators of Gianluca Scuderi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianluca Scuderi. Gianluca Scuderi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026