Luisa Mancuso

23 papers receiving 645 citations

Peers

Luisa Mancuso
Comparison fields: 5 of 103
  • Behavioral Neuroscience 97
  • Cellular and Molecular Neuroscience 213
  • Biological Psychiatry 29
  • Biomaterials 83
  • Neurology 50
Replace Bei Ma with:
Bei Ma China
Shannon Kelly United States
Jeng‐Rung Chen Taiwan
Na Wang China
Jos Ijkema‐Paassen Netherlands
Mahasweta Das United States
Katarína Ondičová Slovakia
James W. McBlane United Kingdom
Yousef Sadeghi Iran
Luisa Mancuso relative to Bei Ma China Bei Ma's profile →
Citations per field
00.5×1.5×1.9×
Bei Ma · 1×
Citations per year

Countries citing papers authored by Luisa Mancuso

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Mancuso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200295
2 200668
3 200760
4 201160
5 201456
6 200148
7 200245
8 200340
9 200337
10 201435
11 200322
12 200921
13 200219
14 201611
15 201511
16 20109
17 20187
18 20214
19 20104
20
Experimental analysis and modeling of in vitro mesenchymal stem cells proliferation
20093

About Luisa Mancuso

Luisa Mancuso is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Biomaterials, having authored 23 papers that have together received 659 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Graphene and Nanomaterials Applications (3 papers), Nanoparticles: synthesis and applications (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer Cells and Metastasis (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (97 citations), Cellular and Molecular Neuroscience (213 citations), Biological Psychiatry (29 citations), Biomaterials (83 citations) and Neurology (50 citations). Luisa Mancuso has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giacomo Cao, Paolo Follesa, Giovanni Biggio, Francesca Biggio, Maria Cristina Mostallino, Manuela Zaccolo, Alessandro Concas, Annalisa Manca, Fabio Busonero and Enrico Sanna. Their work appears in journals such as Cell Proliferation, Biomedical Materials, Neuropharmacology, Journal of Pharmacology and Experimental Therapeutics and Ceramics International.

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.

Explore authors with similar magnitude of impact