Rebecca Senetta

189 total papers · 3.3k total citations
92 papers, 2.0k citations indexed

About

Rebecca Senetta is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Rebecca Senetta has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Oncology, 32 papers in Molecular Biology and 22 papers in Epidemiology. Recurrent topics in Rebecca Senetta's work include Cutaneous Melanoma Detection and Management (21 papers), Nonmelanoma Skin Cancer Studies (10 papers) and Melanoma and MAPK Pathways (9 papers). Rebecca Senetta is often cited by papers focused on Cutaneous Melanoma Detection and Management (21 papers), Nonmelanoma Skin Cancer Studies (10 papers) and Melanoma and MAPK Pathways (9 papers). Rebecca Senetta collaborates with scholars based in Italy, United States and Belarus. Rebecca Senetta's co-authors include Paola Cassoni, Adele Cassenti, Giulia Maria Stella, Claudio Isella, Consalvo Petti, Enzo Médico, Sara E. Bellomo, Livio Trusolino, Andrea Bertotti and Anna Sapino and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Rebecca Senetta

84 papers receiving 2.0k citations

Hit Papers

Stromal contribution to t... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Rebecca Senetta 1.1k 712 601 426 306 92 2.0k
Lorenza Pecciarini 857 0.8× 836 1.2× 348 0.6× 504 1.2× 351 1.1× 42 2.1k
Diana Mandelker 860 0.8× 1.3k 1.8× 710 1.2× 383 0.9× 474 1.5× 93 2.5k
Vassiliki Kotoula 1.2k 1.1× 1.2k 1.7× 536 0.9× 300 0.7× 419 1.4× 125 2.6k
Cristiana Bellan 1.1k 1.0× 974 1.4× 464 0.8× 804 1.9× 211 0.7× 95 2.3k
Maria Giulia Cangi 875 0.8× 913 1.3× 355 0.6× 417 1.0× 473 1.5× 54 2.2k
Delphine Loussouarn 690 0.6× 974 1.4× 569 0.9× 264 0.6× 622 2.0× 76 2.3k
Siham Sabri 598 0.6× 567 0.8× 525 0.9× 225 0.5× 336 1.1× 57 2.0k
Judith Hugh 1.3k 1.2× 1.1k 1.5× 1.0k 1.7× 555 1.3× 469 1.5× 50 2.9k
Huang‐Chun Lien 897 0.8× 731 1.0× 606 1.0× 403 0.9× 283 0.9× 69 2.1k
Han‐Xiang An 740 0.7× 1.1k 1.5× 443 0.7× 243 0.6× 398 1.3× 61 2.1k

Countries citing papers authored by Rebecca Senetta

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Senetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Senetta

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