Eva Benito

67 papers receiving 4.1k citations

Peers

Eva Benito
Comparison fields: 5 of 141
  • Developmental Neuroscience 215
  • Neurology 365
  • Biological Psychiatry 100
  • Cellular and Molecular Neuroscience 737
  • Aging 64
Replace Heather N. Witt with:
Heather N. Witt United States
Masami Takahashi Japan
Valentin Stein Germany
Susan W. Robinson United Kingdom
Paula Desplats United States
Ian P. Blair Australia
Miyoko Higuchi Japan
Alan Edward Renton United States
Georges Tocco United States
Eva Benito relative to Heather N. Witt United States Heather N. Witt's profile →
Citations per field
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Heather N. Witt · 1×
Citations per year

Countries citing papers authored by Eva Benito

Since Specialization
Citations

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

Fields of papers citing papers by Eva Benito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010369
2 2014292
3 2015255
4 2018241
5 2013187
6 2015162
7 2016121
8 2013115
9 2018113
10 2014105
11 2011101
12 201897
13 201196
14 201493
15 201391
16 202290
17 201789
18 201679
19 201778
20 201876

About Eva Benito

Eva Benito is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Cancer Research and Genetics, having authored 68 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Chromatin Dynamics (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Atrial Fibrillation Management and Outcomes (7 papers), RNA Research and Splicing (6 papers), biodegradable polymer synthesis and properties (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (215 citations), Neurology (365 citations), Biological Psychiatry (100 citations), Cellular and Molecular Neuroscience (737 citations) and Aging (64 citations). Eva Benito has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Ángel Barco, André Fischer, Pooja Rao, Vincenzo Capece, Dieter Edbauer, Susanne Burkhardt, Roman Manuel Stilling, Rashi Halder, Stefan Bonn and Luis Miguel Valor. Their work appears in journals such as Journal of Neuroscience, EP Europace, Cell Reports, The EMBO Journal and Journal of Cardiovascular Electrophysiology.

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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