Andrea Perrone

145 total papers · 4.6k total citations
51 papers, 2.3k citations indexed

About

Andrea Perrone is a scholar working on Oncology, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Andrea Perrone has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Aerospace Engineering and 7 papers in Molecular Biology. Recurrent topics in Andrea Perrone's work include Turbomachinery Performance and Optimization (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Immunotherapy and Immune Responses (5 papers). Andrea Perrone is often cited by papers focused on Turbomachinery Performance and Optimization (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Immunotherapy and Immune Responses (5 papers). Andrea Perrone collaborates with scholars based in Italy, United States and France. Andrea Perrone's co-authors include Lawrence H. Schwartz, F. Stephen Hodi, Jedd D. Wolchok, Nancy U. Lin, Alice Chen, Patrick Therasse, Marcus Ballinger, Jan Bogaerts, Lesley Seymour and Lalitha Shankar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Lancet Oncology.

In The Last Decade

Andrea Perrone

47 papers receiving 2.3k citations

Hit Papers

iRECIST: guidelines for r... 2017 2026 2020 2023 2017 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Andrea Perrone 1.4k 664 460 410 380 51 2.3k
Kaitlin M. Woo 1.3k 0.9× 1.2k 1.8× 315 0.7× 411 1.0× 401 1.1× 66 2.7k
Carmen Timke 1.1k 0.8× 704 1.1× 621 1.4× 390 1.0× 484 1.3× 49 2.2k
Ross Stewart 1.9k 1.3× 623 0.9× 839 1.8× 337 0.8× 372 1.0× 46 2.3k
Feifei Teng 1.6k 1.1× 666 1.0× 663 1.4× 237 0.6× 367 1.0× 54 2.3k
Jinming Yu 1.2k 0.8× 663 1.0× 490 1.1× 246 0.6× 572 1.5× 65 2.2k
Daniel L. Suzman 1.3k 0.9× 797 1.2× 318 0.7× 214 0.5× 347 0.9× 58 1.9k
Dawei Chen 1.4k 1.0× 907 1.4× 542 1.2× 234 0.6× 485 1.3× 90 2.3k
E. Douglas Holyoke 969 0.7× 415 0.6× 206 0.4× 288 0.7× 352 0.9× 69 1.6k
Gianluca Spitaleri 1.1k 0.8× 974 1.5× 312 0.7× 403 1.0× 498 1.3× 83 2.1k
Hui Yu 1.8k 1.3× 938 1.4× 657 1.4× 187 0.5× 404 1.1× 39 2.3k

Countries citing papers authored by Andrea Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Perrone

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