Manuela Loi

23 papers receiving 371 citations

Peers

Manuela Loi
Comparison fields: 5 of 52
  • Developmental Neuroscience 32
  • Genetics 161
  • Molecular Biology 225
  • Biological Psychiatry 6
  • Neurology 19
Replace Giorgio Medici with:
Giorgio Medici Italy
Lariza M. Rento United States
Aline Dubos France
Malin Kele Sweden
Yechiam Sapir Israel
Annemiek A. van Berkel Netherlands
Marina Podpolny United Kingdom
Anna Chassevent United States
Pollyanna Agnes Goh United Kingdom
Manuela Loi relative to Giorgio Medici Italy Giorgio Medici's profile →
Citations per field
00.5×1.5×1.8×
Giorgio Medici · 1×
Citations per year

Countries citing papers authored by Manuela Loi

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Loi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201545
2 201935
3 201935
4 202134
5 201928
6 202126
7 202224
8 201924
9 202022
10 201915
11 202115
12 202014
13 202214
14 202113
15 20248
16 20236
17 20235
18 20234
19 20252
20 20252

About Manuela Loi

Manuela Loi is a scholar working on Genetics, Developmental Neuroscience, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 375 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (14 papers), Ubiquitin and proteasome pathways (5 papers), Nuclear Structure and Function (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Congenital heart defects research (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Genetics (161 citations), Molecular Biology (225 citations), Biological Psychiatry (6 citations) and Neurology (19 citations). Manuela Loi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Stefania Trazzi, Giorgio Medici, Elisabetta Ciani, Laura Gennaccaro, Giuseppe Galvani, Claudia Fuchs, Stefano Squarzoni, Giovanna Lattanzi, Cristina Capanni and Roberto Rimondini. Their work appears in journals such as International Journal of Molecular Sciences, Neurobiology of Disease, Neurotherapeutics, European Journal of Medicinal Chemistry and Frontiers in Bioengineering and Biotechnology.

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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