Fabio Benfenati

796 citations
7 papers · 405 indexed · h-index 5
Topics
Photoreceptor and optogenetics research (3 papers)Neuropeptides and Animal Physiology (3 papers)Neuroscience and Neural Engineering (3 papers)
Partner nations
ItalySwedenAustria

In The Last Decade

Fabio Benfenati

7 papers receiving 401 citations

Peers

Fabio Benfenati
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 336
  • Molecular Biology 250
  • Endocrine and Autonomic Systems 49
  • Social Psychology 39
  • Biomedical Engineering 38
Replace Ashwini Mokashi with:
Ashwini Mokashi United States
S. RUBINRAUT Israel
Philip W. Brownjohn New Zealand
Paula te Riele Belgium
P. Rossignol France
Sang Ho Baik South Korea
Chaonan Ma China
David B. Masters United States
Marc M. Maxson United States
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Fabio Benfenati relative to Ashwini Mokashi United States Ashwini Mokashi's profile →
Citations per field
00.5×7.6×
Ashwini Mokashi · 1×
Citations per year

Countries citing papers authored by Fabio Benfenati

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Benfenati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Benfenati

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Benfenati. A scholar is included among the top collaborators of Fabio Benfenati 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 Fabio Benfenati. Fabio Benfenati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 4
3 8
4 79
5 36
6 144
7 133

About Fabio Benfenati

Fabio Benfenati is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 7 papers that have together received 405 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (336 citations), Endocrine and Autonomic Systems (49 citations) and Behavioral Neuroscience (16 citations). Fabio Benfenati has collaborated with scholars based in Italy, Sweden and Austria. Frequent co-authors include Kjell Fuxé, Tomas Hökfelt, Luigi F. Agnati, Anders Härfstrand, Victor Mutt, Viktor Mutt, N. Battistini, Kazuhiko Tatemoto, Guglielmo Lanzani and Francesca Di Maria. Their work appears in journals such as Chemical Society Reviews, Annals of the New York Academy of Sciences and Nanoscale.

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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