Giada Cellot

2.5k citations
32 papers · 1.8k indexed · h-index 20

Impact in

Papers in

Giada Cellot

31 papers receiving 1.8k citations

Peers

Giada Cellot
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 857
  • Developmental Neuroscience 180
  • Biomaterials 343
  • Biomedical Engineering 894
  • Cognitive Neuroscience 242
Replace Denis Scaini with:
Denis Scaini Italy
Jong‐Pil Kim South Korea
Yinghui Zhong United States
Ann M. Rajnicek United Kingdom
Jeremy M. Crook Australia
Milagros Ramos Spain
Valentina Benfenati Italy
Fabrizia Cesca Italy
Ritchie Chen United States
Massimo Righi Italy
Giada Cellot relative to Denis Scaini Italy Denis Scaini's profile →
Citations per field
00.5×1.5×2.0×
Denis Scaini · 1×
Citations per year

Countries citing papers authored by Giada Cellot

Since Specialization
Citations

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

Fields of papers citing papers by Giada Cellot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20233
4 20233
5 202211
6 202112
7 202024
8 202058
9 202014
10 201651
11 201628
12 2014216
13 201326
14 201340
15 201369
16 201318
17 201123
18 2011131
19 201024
20 2008406

About Giada Cellot

Giada Cellot is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Aging, Biomedical Engineering and Materials Chemistry, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), Graphene and Nanomaterials Applications (13 papers), Neuroscience and Neuropharmacology Research (6 papers), Carbon Nanotubes in Composites (6 papers), Anesthesia and Neurotoxicity Research (5 papers), Carbon and Quantum Dots Applications (4 papers), Graphene research and applications (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (857 citations), Developmental Neuroscience (180 citations), Biomaterials (343 citations), Biomedical Engineering (894 citations) and Cognitive Neuroscience (242 citations). Giada Cellot has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Enrico Cherubini, Laura Ballerini, Maurizio Prato, Denis Scaini, Francesca M. Toma, Sara Cipollone, Luisa Mestroni, Michèle Giugliano, Valentina Martinelli and Vladimir Rančić. Their work appears in journals such as ACS Nano, Journal of Neuroscience, Nanoscale Horizons, Advanced Materials 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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