Manuela Loi

492 citations
21 papers · 297 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Nuclear Structure and Function 3
    • Histone Deacetylase Inhibitors Research 3
    • Congenital heart defects research 3
    • Protein Degradation and Inhibitors 2
    • Genetics and Neurodevelopmental Disorders 13

Manuela Loi

19 papers receiving 297 citations

Peers

Manuela Loi
Comparison fields: 5 of 50
  • Developmental Neuroscience 33
  • Genetics 151
  • Neurology 25
  • Molecular Biology 190
  • Cellular and Molecular Neuroscience 39
Replace Laura Gennaccaro with:
Laura Gennaccaro Italy
Giorgio Medici Italy
Derek J.C. Tai United States
Hendrik Urbanke Germany
Yifei Cai China
Shengqiang Chen China
Susanna Raitano Belgium
Sheila K. Pirooznia United States
Nadja S. Andrade United States
Manuela Loi relative to Laura Gennaccaro Italy Laura Gennaccaro's profile →
Citations per field
00.5×1.5×
Laura Gennaccaro · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201540
2 201933
3 201931
4 202131
5 202124
6 202221
7 201920
8 202019
9 202014
10 201913
11 202113
12 202111
13 20229
14 20235
15 20234
16 20233
17 20243
18 20252
19 20251
20 20250

About Manuela Loi

Manuela Loi is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Cellular and Molecular Neuroscience and Pharmacology, having authored 21 papers that have together received 297 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (13 papers), Ubiquitin and proteasome pathways (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nuclear Structure and Function (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Congenital heart defects research (3 papers), Protein Degradation and Inhibitors (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Genetics (151 citations), Neurology (25 citations), Molecular Biology (190 citations) and Cellular and Molecular Neuroscience (39 citations). Manuela Loi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Elisabetta Ciani, Giorgio Medici, Stefania Trazzi, Laura Gennaccaro, Giuseppe Galvani, Claudia Fuchs, Cristina Capanni, Roberto Rimondini, Stefano Squarzoni and Giovanna Lattanzi. Their work appears in journals such as International Journal of Molecular Sciences, Neurotherapeutics, Neurobiology of Disease, ACS Chemical Neuroscience and European Journal of Medicinal Chemistry.

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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