Benedetta Bianchi

1.3k citations
25 papers · 963 · h-index 16

Impact in

Papers in

Benedetta Bianchi

23 papers receiving 933 citations

Peers

Benedetta Bianchi
Comparison fields: 5 of 86
  • Sensory Systems 218
  • Cellular and Molecular Neuroscience 292
  • Dermatology 86
  • Pharmacology 145
  • Physiology 208
Replace Manfred Andratsch with:
Manfred Andratsch Austria
Xiaochun Jin United States
Phil Davey Canada
Ana Lastra Spain
Takahito Miyake Japan
Katharine Walker United States
Anne Pizzoccaro France
Anindya Bhattacharya United States
Bálint Botz Hungary
Song Jiao China
Benedetta Bianchi relative to Manfred Andratsch Austria Manfred Andratsch's profile →
Citations per field
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Manfred Andratsch · 1×
Citations per year

Countries citing papers authored by Benedetta Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benedetta Bianchi, 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 Benedetta Bianchi Line = papers co-authored together Benedetta Bianchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006252
2 2002174
3 200368
4 200852
5 199652
6 198946
7 199536
8 199633
9 199931
10 201730
11 199127
12 200926
13 198621
14 199021
15
MYO7A and USH2A gene sequence variants in Italian patients with Usher syndrome.
201419
16 199415
17 201314
18 198310
19 199210
20 20108

About Benedetta Bianchi

Benedetta Bianchi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Sensory Systems and Epidemiology, having authored 25 papers that have together received 963 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (4 papers), Receptor Mechanisms and Signaling (4 papers), Vestibular and auditory disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), T-cell and B-cell Immunology (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Sensory Systems (218 citations), Cellular and Molecular Neuroscience (292 citations), Dermatology (86 citations), Pharmacology (145 citations) and Physiology (208 citations). Benedetta Bianchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luca Bruschini, Alessandro Franchi, Emanuela Masini, Oreste Gallo, Milena Paglierani, Thomas W. Vickroy, I. Pela, David G. Witte, Wende Niforatos and Joseph P. Mikusa. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Neuropeptides and Journal of Neuroscience.

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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