Luca Tonella

413 citations
22 papers · 278 · h-index 11

Impact in

Papers in

    • Cutaneous Melanoma Detection and Management 8
    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 2
    • Melanoma and MAPK Pathways 5

Luca Tonella

22 papers receiving 277 citations

Peers

Luca Tonella
Comparison fields: 5 of 48
  • Dermatology 87
  • Otorhinolaryngology 16
  • Oncology 97
  • Urology 17
  • Immunology and Allergy 13
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Ane Jaka Spain
Jeffrey Zhao United States
Isabelle Scheer-Senyarich France
Valeria Coco Italy
Ismini Vassilaki Sweden
Matilda Bylaitė Lithuania
Arthur Morris United Kingdom
Shuntaro Oniki Japan
M K Heatley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Luca Tonella

Since Specialization
Citations

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

Fields of papers citing papers by Luca Tonella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201735
2 202032
3 202229
4 202124
5 202321
6 202020
7 202117
8 202016
9 202114
10 202113
11 202111
12 19998
13 20247
14 20236
15 20226
16 20176
17 20214
18 20224
19 20212
20 20171

About Luca Tonella

Luca Tonella is a scholar working on Oncology, Molecular Biology, Dermatology, Pathology and Forensic Medicine and Immunology, having authored 22 papers that have together received 278 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Melanoma and MAPK Pathways (5 papers), CAR-T cell therapy research (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Head and Neck Cancer Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Dermatological and COVID-19 studies (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Dermatology (87 citations), Otorhinolaryngology (16 citations), Oncology (97 citations), Urology (17 citations) and Immunology and Allergy (13 citations). Luca Tonella has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pietro Quaglino, Simone Ribero, Maria Teresa Fierro, Marco Rubatto, Luca Mastorino, Paolo Fava, Giuseppe Gallo, Salvatore Alfieri, Silvana Canevari and Loris De Cecco. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, Disease Markers, Journal of Clinical Medicine, Nucleic Acids Research and Future Oncology.

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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