Claudia Strafella

70 total papers · 1.3k total citations
57 papers, 824 citations indexed

About

Claudia Strafella is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Claudia Strafella has authored 57 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Ophthalmology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Claudia Strafella's work include Retinal Diseases and Treatments (9 papers), Muscle Physiology and Disorders (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Claudia Strafella is often cited by papers focused on Retinal Diseases and Treatments (9 papers), Muscle Physiology and Disorders (9 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Claudia Strafella collaborates with scholars based in Italy, Albania and United Kingdom. Claudia Strafella's co-authors include Emiliano Giardina, Raffaella Cascella, Valerio Caputo, Giuseppe Novelli, Andrea Termine, Stefania Zampatti, Carlo Caltagirone, Paola Borgiani, Federico Ricci and Andrea Cusumano and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Human Molecular Genetics.

In The Last Decade

Claudia Strafella

53 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Claudia Strafella 359 159 135 97 96 57 824
Raffaella Cascella 415 1.2× 209 1.3× 162 1.2× 103 1.1× 114 1.2× 67 994
Valerio Caputo 332 0.9× 74 0.5× 108 0.8× 92 0.9× 49 0.5× 50 720
Declan McGuone 209 0.6× 83 0.5× 42 0.3× 53 0.5× 70 0.7× 49 722
Richard K. Lee 377 1.1× 479 3.0× 104 0.8× 56 0.6× 204 2.1× 76 1.0k
Lingjun Zhang 208 0.6× 100 0.6× 199 1.5× 29 0.3× 107 1.1× 55 753
Antonio Miranda‐Duarte 275 0.8× 71 0.4× 70 0.5× 34 0.4× 40 0.4× 76 785
Guoquan Gao 471 1.3× 129 0.8× 105 0.8× 23 0.2× 76 0.8× 36 953
Masahiro Maeda 347 1.0× 141 0.9× 52 0.4× 28 0.3× 131 1.4× 40 993
Young Soo Han 381 1.1× 82 0.5× 123 0.9× 18 0.2× 74 0.8× 30 772
Tian Tian 290 0.8× 87 0.5× 119 0.9× 20 0.2× 203 2.1× 59 762

Countries citing papers authored by Claudia Strafella

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Strafella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Strafella

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Strafella. A scholar is included among the top collaborators of Claudia Strafella 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 Claudia Strafella. Claudia Strafella 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