Federico Piacentini

249 total papers · 3.6k total citations
113 papers, 1.9k citations indexed

About

Federico Piacentini is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Federico Piacentini has authored 113 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Oncology, 58 papers in Pulmonary and Respiratory Medicine and 51 papers in Cancer Research. Recurrent topics in Federico Piacentini's work include HER2/EGFR in Cancer Research (50 papers), Advanced Breast Cancer Therapies (44 papers) and Breast Cancer Treatment Studies (41 papers). Federico Piacentini is often cited by papers focused on HER2/EGFR in Cancer Research (50 papers), Advanced Breast Cancer Therapies (44 papers) and Breast Cancer Treatment Studies (41 papers). Federico Piacentini collaborates with scholars based in Italy, Spain and United States. Federico Piacentini's co-authors include Valentina Guarneri, Pierfranco Conté, Guido Ficarra, Maria Vittoria Dieci, Claudia Omarini, Elena Barbieri, Massimo Dominici, Stefania Bettelli, Antonino Maiorana and Antonio Frassoldati and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Federico Piacentini

101 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Federico Piacentini 1.3k 712 510 385 328 113 1.9k
Séverine Guiu 1.1k 0.8× 747 1.0× 460 0.9× 398 1.0× 350 1.1× 78 1.9k
Lorenzo Gianni 1.2k 0.9× 597 0.8× 523 1.0× 405 1.1× 298 0.9× 91 2.0k
Sònia Pernas 1.1k 0.9× 542 0.8× 469 0.9× 413 1.1× 321 1.0× 110 1.6k
Claudio Zamagni 1.2k 0.9× 566 0.8× 461 0.9× 414 1.1× 331 1.0× 147 2.1k
Zhimin Shao 1.1k 0.9× 553 0.8× 555 1.1× 514 1.3× 290 0.9× 90 1.8k
Akihiko Shimomura 1.1k 0.8× 528 0.7× 528 1.0× 746 1.9× 329 1.0× 132 2.0k
Ying Fan 1.1k 0.8× 689 1.0× 504 1.0× 540 1.4× 193 0.6× 120 1.7k
Alessandro Marco Minisini 1.1k 0.9× 585 0.8× 598 1.2× 423 1.1× 145 0.4× 76 1.9k
Ulrike Nitz 1.4k 1.1× 1.1k 1.6× 469 0.9× 556 1.4× 331 1.0× 135 2.4k
Cesar A. Santa‐Maria 1.1k 0.8× 644 0.9× 448 0.9× 688 1.8× 234 0.7× 66 1.8k

Countries citing papers authored by Federico Piacentini

Since Specialization
Citations

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

Fields of papers citing papers by Federico Piacentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Piacentini

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