Luca Massimo Chinni

20 total papers · 956 total citations
14 papers, 754 citations indexed

About

Luca Massimo Chinni is a scholar working on Dermatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Luca Massimo Chinni has authored 14 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Dermatology, 4 papers in Immunology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Luca Massimo Chinni's work include Dermatology and Skin Diseases (4 papers), T-cell and B-cell Immunology (2 papers) and Genetic and rare skin diseases. (2 papers). Luca Massimo Chinni is often cited by papers focused on Dermatology and Skin Diseases (4 papers), T-cell and B-cell Immunology (2 papers) and Genetic and rare skin diseases. (2 papers). Luca Massimo Chinni collaborates with scholars based in Italy, United States and Poland. Luca Massimo Chinni's co-authors include Giampiero Girolomoni, Alberto Giannetti, Ornella De Pità, Saveria Pastore, Alessandra Frezzolini, Francesca Mascia, Maria Laura Giustizieri, Cristina Albanesi, Emanuele Fanales‐Belasio and Serena Pastore and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Allergy and Clinical Immunology and Journal of the American Academy of Dermatology.

In The Last Decade

Luca Massimo Chinni

14 papers receiving 727 citations

Author Peers

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

Author Last Decade Papers Cites
Luca Massimo Chinni 466 268 169 152 149 14 754
Robert S. Stern 540 1.2× 264 1.0× 156 0.9× 123 0.8× 53 0.4× 8 772
Todd R. Coven 452 1.0× 498 1.9× 81 0.5× 70 0.5× 75 0.5× 8 765
Masahiro Takigawa 254 0.5× 320 1.2× 66 0.4× 108 0.7× 84 0.6× 19 756
Yuka Shimada 315 0.7× 334 1.2× 56 0.3× 113 0.7× 228 1.5× 18 793
Elyse S. Rafal 647 1.4× 111 0.4× 143 0.8× 51 0.3× 142 1.0× 17 872
Eva Buentke 224 0.5× 298 1.1× 302 1.8× 62 0.4× 176 1.2× 17 863
Shivani B. Kaushik 405 0.9× 487 1.8× 107 0.6× 48 0.3× 41 0.3× 10 778
Irene Dougherty 158 0.3× 350 1.3× 104 0.6× 74 0.5× 122 0.8× 17 755
Françoise Horand 223 0.5× 372 1.4× 48 0.3× 77 0.5× 109 0.7× 26 878
Michal Ramon 400 0.9× 277 1.0× 61 0.4× 52 0.3× 210 1.4× 15 694

Countries citing papers authored by Luca Massimo Chinni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Massimo Chinni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Massimo Chinni. 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 Luca Massimo Chinni. The network helps show where Luca Massimo Chinni may publish in the future.

Co-authorship network of co-authors of Luca Massimo Chinni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Massimo Chinni. A scholar is included among the top collaborators of Luca Massimo Chinni 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 Luca Massimo Chinni. Luca Massimo Chinni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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