Andrea Facciabene

143 total papers · 5.9k total citations
57 papers, 3.8k citations indexed

About

Andrea Facciabene is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Andrea Facciabene has authored 57 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 32 papers in Immunology and 20 papers in Molecular Biology. Recurrent topics in Andrea Facciabene's work include Cancer Immunotherapy and Biomarkers (22 papers), Immunotherapy and Immune Responses (21 papers) and Immune Cell Function and Interaction (12 papers). Andrea Facciabene is often cited by papers focused on Cancer Immunotherapy and Biomarkers (22 papers), Immunotherapy and Immune Responses (21 papers) and Immune Cell Function and Interaction (12 papers). Andrea Facciabene collaborates with scholars based in United States, Italy and Greece. Andrea Facciabene's co-authors include George Coukos, Gregory T. Motz, Phyllis A. Gimotty, Klara Balint, Liping Wang, Xiaohui Peng, Ian S. Hagemann, Lin Zhang, Andrea Barchetti and Priti Lal and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Andrea Facciabene

54 papers receiving 3.7k citations

Hit Papers

Tumour hypoxia promotes t... 2011 2026 2016 2021 2011 2012 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Andrea Facciabene 2.0k 1.9k 1.4k 562 351 57 3.8k
Sabina Sangaletti 2.4k 1.2× 1.6k 0.8× 1.3k 1.0× 527 0.9× 471 1.3× 79 4.4k
Jinghang Zhang 1.7k 0.8× 1.4k 0.7× 1.9k 1.3× 518 0.9× 366 1.0× 83 4.4k
Stefano Ugel 3.2k 1.6× 2.0k 1.0× 1.1k 0.8× 423 0.8× 263 0.7× 63 4.5k
Munitta Muthana 1.6k 0.8× 1.2k 0.6× 1.5k 1.1× 558 1.0× 250 0.7× 65 3.7k
Gang Zhou 2.9k 1.4× 2.0k 1.0× 1.1k 0.8× 501 0.9× 294 0.8× 71 4.5k
Linda A. Snyder 2.7k 1.4× 2.4k 1.3× 1.5k 1.0× 615 1.1× 564 1.6× 46 4.6k
Leona Ling 2.3k 1.1× 1.9k 1.0× 2.2k 1.6× 497 0.9× 358 1.0× 49 5.2k
Jack D. Bui 2.5k 1.2× 1.5k 0.8× 1.3k 1.0× 352 0.6× 193 0.5× 79 4.2k
Claudia Chiodoni 2.5k 1.2× 1.6k 0.8× 1.7k 1.2× 519 0.9× 424 1.2× 81 4.6k
Asís Palazón 2.0k 1.0× 1.4k 0.7× 1.4k 1.0× 1.1k 1.9× 284 0.8× 53 4.0k

Countries citing papers authored by Andrea Facciabene

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Facciabene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Facciabene

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