F. Nolè

28 total papers · 936 total citations
12 papers, 687 citations indexed

About

F. Nolè is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, F. Nolè has authored 12 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in F. Nolè's work include Cancer Treatment and Pharmacology (6 papers), Breast Cancer Treatment Studies (4 papers) and HER2/EGFR in Cancer Research (3 papers). F. Nolè is often cited by papers focused on Cancer Treatment and Pharmacology (6 papers), Breast Cancer Treatment Studies (4 papers) and HER2/EGFR in Cancer Research (3 papers). F. Nolè collaborates with scholars based in Italy, United States and France. F. Nolè's co-authors include Aron Goldhirsch, Giuseppe Viale, Marco Colleoni, Maria Teresa Sandri, G. Peruzzotti, Laura Zorzino, Laura Orlando, Andrea Rocca, Filippo de Braud and Giovanna Masci and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

F. Nolè

11 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
F. Nolè 469 269 235 164 53 12 687
Deanna McLeod 461 1.0× 224 0.8× 222 0.9× 229 1.4× 41 0.8× 26 790
B. Lisboa 473 1.0× 375 1.4× 203 0.9× 99 0.6× 54 1.0× 23 786
Theodore A. Vandenberg 463 1.0× 161 0.6× 206 0.9× 110 0.7× 50 0.9× 26 773
Shanna A. Arnold 334 0.7× 142 0.5× 225 1.0× 96 0.6× 106 2.0× 18 769
M. Collette 399 0.9× 121 0.4× 252 1.1× 52 0.3× 34 0.6× 15 645
Wim Wynendaele 303 0.6× 183 0.7× 304 1.3× 138 0.8× 58 1.1× 25 697
Xia Zhu 273 0.6× 171 0.6× 284 1.2× 250 1.5× 49 0.9× 14 623
Gongmin Zhu 203 0.4× 262 1.0× 465 2.0× 130 0.8× 96 1.8× 16 752
Erandi Rajagurubandara 289 0.6× 239 0.9× 265 1.1× 131 0.8× 12 0.2× 12 787
Michael J. Pienta 412 0.9× 138 0.5× 154 0.7× 171 1.0× 11 0.2× 19 609

Countries citing papers authored by F. Nolè

Since Specialization
Citations

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

Fields of papers citing papers by F. Nolè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Nolè

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