Federica Bono

54 total papers · 1.0k total citations
40 papers, 830 citations indexed

About

Federica Bono is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Federica Bono has authored 40 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Federica Bono's work include Receptor Mechanisms and Signaling (11 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Federica Bono is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Federica Bono collaborates with scholars based in Italy, United States and Switzerland. Federica Bono's co-authors include Chiara Fiorentini, Cristina Missale, PierFranco Spano, Arianna Bellucci, Ginetta Collo, Paola Savoia, Gaia Faustini, Cristina Missale, Emilio Merlo Pich and Mark J. Millan and has published in prestigious journals such as PLoS ONE, Endocrinology and Neuroscience.

In The Last Decade

Federica Bono

36 papers receiving 819 citations

Author Peers

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

Author						Papers	Cites
Federica Bono	389	379	245	96	83	40	830
Pingming Qiu	409 1.1×	283 0.7×	210 0.9×	113 1.2×	113 1.4×	58	915
Ruiming Zhu	373 1.0×	176 0.5×	197 0.8×	156 1.6×	137 1.7×	33	855
Ada Ledonne	293 0.8×	425 1.1×	179 0.7×	111 1.2×	114 1.4×	31	771
Hélène Scarna	462 1.2×	427 1.1×	202 0.8×	53 0.6×	55 0.7×	31	1.0k
Eduard Bentea	273 0.7×	297 0.8×	176 0.7×	140 1.5×	98 1.2×	38	787
Torsten Falk	395 1.0×	482 1.3×	191 0.8×	75 0.8×	107 1.3×	44	830
Lilah Toker	305 0.8×	200 0.5×	152 0.6×	111 1.2×	97 1.2×	27	749
Akanksha Mishra	276 0.7×	273 0.7×	174 0.7×	158 1.6×	128 1.5×	42	1.0k
Kenneth Vielsted Christensen	431 1.1×	275 0.7×	190 0.8×	103 1.1×	143 1.7×	32	854
Patrick N. McCormick	418 1.1×	514 1.4×	108 0.4×	77 0.8×	108 1.3×	22	976

Countries citing papers authored by Federica Bono

Since Specialization

Citations

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

Fields of papers citing papers by Federica Bono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Bono

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