Piero Ferollà

88 total papers · 4.3k total citations
42 papers, 1.7k citations indexed

About

Piero Ferollà is a scholar working on Epidemiology, Oncology and Neurology. According to data from OpenAlex, Piero Ferollà has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 28 papers in Oncology and 23 papers in Neurology. Recurrent topics in Piero Ferollà's work include Neuroendocrine Tumor Research Advances (36 papers), Lung Cancer Research Studies (25 papers) and Neuroblastoma Research and Treatments (22 papers). Piero Ferollà is often cited by papers focused on Neuroendocrine Tumor Research Advances (36 papers), Lung Cancer Research Studies (25 papers) and Neuroblastoma Research and Treatments (22 papers). Piero Ferollà collaborates with scholars based in Italy, France and Germany. Piero Ferollà's co-authors include Diego Ferone, Wouter W. de Herder, Philippe Ruszniewski, Gianfranco Delle Fave, John Ramage, Wolfgang Weber, Tetsuhide Ito, Babs G. Taal, Andreas Pascher and Anders Sundín and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Annals of Oncology.

In The Last Decade

Piero Ferollà

42 papers receiving 1.7k citations

Hit Papers

ENETS Consensus Guideline... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Piero Ferollà 1.5k 1.3k 958 204 184 42 1.7k
Juan Manuel O’Connor 1.6k 1.1× 1.6k 1.2× 1.1k 1.1× 114 0.6× 89 0.5× 56 2.1k
Eva Sedláčková 1.9k 1.3× 1.8k 1.4× 1.4k 1.5× 93 0.5× 116 0.6× 46 2.2k
Marianne Pavel 1.6k 1.1× 1.5k 1.1× 1.2k 1.2× 110 0.5× 109 0.6× 88 2.0k
Joëlle Blumberg 1.7k 1.1× 1.5k 1.1× 1.2k 1.3× 147 0.7× 417 2.3× 28 2.3k
Kjell E. Öberg 1.4k 0.9× 1.3k 1.0× 996 1.0× 85 0.4× 153 0.8× 34 2.2k
Anthony Chan 1.5k 1.0× 1.5k 1.1× 886 0.9× 157 0.8× 49 0.3× 22 1.7k
Christina Mayer 1.9k 1.3× 1.7k 1.3× 1.4k 1.5× 79 0.4× 126 0.7× 19 2.2k
Stephan U. Goebel 1.1k 0.8× 939 0.7× 740 0.8× 101 0.5× 72 0.4× 31 1.4k
Klaus‐Jochen Klose 2.0k 1.4× 1.8k 1.4× 1.5k 1.6× 121 0.6× 122 0.7× 18 2.3k
Johannes Hofland 1.2k 0.8× 1.0k 0.8× 830 0.9× 321 1.6× 485 2.6× 95 2.0k

Countries citing papers authored by Piero Ferollà

Since Specialization
Citations

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

Fields of papers citing papers by Piero Ferollà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piero Ferollà

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