Mara D’Onofrio

4.4k citations
68 papers · 2.8k indexed · 1 hit paper · h-index 25
Topics
Neuroinflammation and Neurodegeneration Mechanisms (11 papers)Neurogenesis and neuroplasticity mechanisms (11 papers)Neuroscience and Neuropharmacology Research (9 papers)

In The Last Decade

Mara D’Onofrio

67 papers receiving 2.8k citations

Hit Papers

METTL1 Promotes let-7 MicroRNA Processing via m7G Methyla...20192026202120232019100200300

Peers

Mara D’Onofrio
Comparison fields: 5 of 120
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 859
  • Cancer Research 447
  • Neurology 430
  • Physiology 280
Replace Zu‐Cheng Ye with:
Zu‐Cheng Ye United States
Axel Methner Germany
Mark H. G. Verheijen Netherlands
Marc Gleichmann United States
Akiko Furuta Japan
Eiichiro Nagata Japan
Ann Massie Belgium
Olivier Nicole France
Eun Mi Hwang South Korea
Hyemyung Seo South Korea
Mara D’Onofrio relative to Zu‐Cheng Ye United States Zu‐Cheng Ye's profile →
Citations per field
00.5×
Zu‐Cheng Ye · 1×
Citations per year

Countries citing papers authored by Mara D’Onofrio

Since Specialization
Citations

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

Fields of papers citing papers by Mara D’Onofrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mara D’Onofrio. 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 Mara D’Onofrio. The network helps show where Mara D’Onofrio may publish in the future.

Co-authorship network of co-authors of Mara D’Onofrio

This figure shows the co-authorship network connecting the top 25 collaborators of Mara D’Onofrio. A scholar is included among the top collaborators of Mara D’Onofrio 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 Mara D’Onofrio. Mara D’Onofrio 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 1
2 2
3 2
4 9
5 33
6 6
7 81
8 8
9 13
10 3
11 4
12 130
13 17
14 58
15 63
16 76
17 57
18 72
19
Metabotropic glutamate receptors as targets for neuroprotective drugs
3
20 3

About Mara D’Onofrio

Mara D’Onofrio is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neurogenesis and neuroplasticity mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Developmental Neuroscience (223 citations), Neurology (430 citations) and Cellular and Molecular Neuroscience (859 citations). Mara D’Onofrio has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Rossella Brandi, Ivan Arisi, Ferdinando Nicoletti, Giuseppe Battaglia, Patrizia Di Iorio, Valeria Bruno, John A. Hanover, Francesco Caciagli, Renata Ciccarelli and Antonino Cattaneo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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