Federica Campolo

73 total papers · 1.5k total citations
43 papers, 848 citations indexed

About

Federica Campolo is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Federica Campolo has authored 43 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Federica Campolo's work include Phosphodiesterase function and regulation (11 papers), Renal and related cancers (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). Federica Campolo is often cited by papers focused on Phosphodiesterase function and regulation (11 papers), Renal and related cancers (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). Federica Campolo collaborates with scholars based in Italy, United States and France. Federica Campolo's co-authors include Mary Anna Venneri, Susanna Dolci, Edoardo Franceschini, Francesca Sciarra, Andrea M. Isidori, Pellegrino Rossi, Manuela Pellegrini, Emmanuele A. Jannini, Daniele Gianfrilli and Manuele Gori and has published in prestigious journals such as Blood, Development and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Federica Campolo

43 papers receiving 838 citations

Hit Papers

Gender-Specific Impact of... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Federica Campolo 395 142 134 128 108 43 848
Masaya Takeda 479 1.2× 230 1.6× 135 1.0× 114 0.9× 49 0.5× 36 903
Nurgün Kandemir 365 0.9× 106 0.7× 152 1.1× 178 1.4× 105 1.0× 53 835
Carl Christensen 286 0.7× 54 0.4× 83 0.6× 126 1.0× 69 0.6× 58 1.0k
Danielle Fritze 298 0.8× 203 1.4× 209 1.6× 139 1.1× 63 0.6× 32 900
L. J. Hipkin 170 0.4× 142 1.0× 122 0.9× 70 0.5× 126 1.2× 65 899
Angélica Morales 220 0.6× 79 0.6× 77 0.6× 84 0.7× 72 0.7× 24 752
Ronnie J. Barkey 301 0.8× 61 0.4× 200 1.5× 180 1.4× 89 0.8× 42 963
Ning Liang 484 1.2× 137 1.0× 155 1.2× 151 1.2× 72 0.7× 41 1.0k
Koichi Yano 276 0.7× 64 0.5× 195 1.5× 148 1.2× 82 0.8× 79 941
Mikael Holst 268 0.7× 58 0.4× 76 0.6× 137 1.1× 91 0.8× 43 1.0k

Countries citing papers authored by Federica Campolo

Since Specialization
Citations

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

Fields of papers citing papers by Federica Campolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Campolo

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