Daniele Torchia

149 total papers · 1.8k total citations
72 papers, 999 citations indexed

About

Daniele Torchia is a scholar working on Dermatology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Daniele Torchia has authored 72 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Dermatology, 24 papers in Genetics and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Daniele Torchia's work include Genetic and rare skin diseases. (17 papers), Autoimmune Bullous Skin Diseases (16 papers) and Urticaria and Related Conditions (11 papers). Daniele Torchia is often cited by papers focused on Genetic and rare skin diseases. (17 papers), Autoimmune Bullous Skin Diseases (16 papers) and Urticaria and Related Conditions (11 papers). Daniele Torchia collaborates with scholars based in Italy, United States and United Kingdom. Daniele Torchia's co-authors include Paolo Romanelli, Marzia Caproni, Walter Volpi, Paolo Fabbri, Sonal Choudhary, Michael P. McLeod, Emiliano Antiga, Elena Del Bianco, Lawrence A. Schachner and Paolo Fabbri and has published in prestigious journals such as New England Journal of Medicine, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Daniele Torchia

69 papers receiving 972 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Torchia 378 336 259 251 225 72 999
R Touraine 351 0.9× 349 1.0× 291 1.1× 442 1.8× 227 1.0× 86 1.2k
S Bélaïch 313 0.8× 435 1.3× 400 1.5× 225 0.9× 148 0.7× 70 1.2k
Yuichi Teraki 394 1.0× 296 0.9× 255 1.0× 237 0.9× 335 1.5× 46 948
Kumutnart Chanprapaph 389 1.0× 274 0.8× 216 0.8× 260 1.0× 141 0.6× 73 931
Miloš Nikolić 206 0.5× 313 0.9× 69 0.3× 234 0.9× 208 0.9× 82 1.2k
D. Leroy 370 1.0× 150 0.4× 137 0.5× 206 0.8× 90 0.4× 71 861
J Bazex 566 1.5× 189 0.6× 62 0.2× 206 0.8× 177 0.8× 125 1.1k
Başak Yalçın 445 1.2× 318 0.9× 70 0.3× 124 0.5× 136 0.6× 88 1.1k
J. G. Saal 126 0.3× 420 1.3× 176 0.7× 131 0.5× 224 1.0× 45 1.1k
T. Hunziker 306 0.8× 225 0.7× 229 0.9× 118 0.5× 318 1.4× 41 867

Countries citing papers authored by Daniele Torchia

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Torchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Torchia

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