Francesca Binda

2.3k citations
50 papers · 1.5k · h-index 19

Impact in

Papers in

Francesca Binda

48 papers receiving 1.5k citations

Peers

Francesca Binda
Comparison fields: 5 of 102
  • Applied Microbiology and Biotechnology 131
  • Cellular and Molecular Neuroscience 586
  • Virology 62
  • Neurology 107
  • Neurology 179
Replace Radka Kaneva with:
Radka Kaneva Bulgaria
Adam Kaplin United States
Gary Clark United States
John C.R. Randle France
Jorge Gandía Spain
Antonio Bruno Italy
Shongshan Fan United States
A. E. G. Tannenberg Australia
Luiz Alexandre Viana Magno Brazil
Laura Ehrlich United States
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Citations per field
00.5×5.3×
Radka Kaneva · 1×
Citations per year

Countries citing papers authored by Francesca Binda

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Binda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Binda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Binda Line = papers co-authored together Francesca Binda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005235
2 2018135
3 2021112
4 2008111
5 2020108
6 2015105
7 201662
8 201657
9 200854
10 201648
11 200647
12 200237
13 201635
14 200134
15 200228
16 201924
17
The implementation of quotas : European experiences
200520
18 201420
19 200220
20 201617

About Francesca Binda

Francesca Binda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Infectious Diseases, Epidemiology and Virology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Ion channel regulation and function (11 papers), Receptor Mechanisms and Signaling (6 papers), HIV Research and Treatment (5 papers), GABA and Rice Research (4 papers), HIV/AIDS Research and Interventions (4 papers), Hepatitis C virus research (4 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (131 citations), Cellular and Molecular Neuroscience (586 citations), Virology (62 citations), Neurology (107 citations) and Neurology (179 citations). Francesca Binda has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Aurelio Galli, Jonathan A. Javitch, Randy Blakely, Douglas G. McMahon, Habibeh Khoshbouei, Kristopher M. Kahlig, Philippe Isope, Elena Bossi, Stefano Giovannardi and Antonio Peres. Their work appears in journals such as The Journal of Physiology, Molecular Pharmacology, Journal of Medical Virology, Neurobiology of Disease and Scientific Reports.

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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