Simona Lodato

3.6k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)Neuroscience and Neuropharmacology Research (5 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Simona Lodato

19 papers receiving 1.9k citations

Hit Papers

Efficient construction of sequence-specific TAL effectors...20112026201620212011200400600

Peers

Simona Lodato
Comparison fields: 5 of 103
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 423
  • Developmental Neuroscience 335
  • Genetics 301
  • Neurology 200
Replace Sen Wu with:
Sen Wu China
Zhaolan Zhou United States
Cleber A. Trujillo United States
Kathleen A. Worringer United States
Tomas Björklund Sweden
Jen Q. Pan United States
Shane McCarthy United States
Apuã C.M. Paquola United States
Sara B. Linker United States
Matthias Heidenreich United States
Simona Lodato relative to Sen Wu China Sen Wu's profile →
Citations per field
00.5×2.8×
Sen Wu · 1×
Citations per year

Countries citing papers authored by Simona Lodato

Since Specialization
Citations

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

Fields of papers citing papers by Simona Lodato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Lodato

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Lodato. A scholar is included among the top collaborators of Simona Lodato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simona Lodato. Simona Lodato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 1
4 0
5 49
6 4
7 20
8 14
9 185
10 85
11 177
12 27
13 21
14 239
15 87
16 66
17
Efficient construction of sequence-specific TAL effectors for modulating mammalian transcriptionbreakdown →
609
18 81
19 160
20 93

About Simona Lodato

Simona Lodato is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Developmental Neuroscience (335 citations), Biological Psychiatry (73 citations) and Aging (48 citations). Simona Lodato has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paola Arlotta, Feng Zhang, Sriram Kosuri, George M. Church, Le Cong, Michèle Studer, Ashwin S. Shetty, Sara Mancinelli, Caroline Rouaux and Kathleen B. Quast. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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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