María E. Rubio

7.2k citations
73 papers · 5.5k indexed · 1 hit paper · h-index 36

María E. Rubio

70 papers receiving 5.5k citations

Hit Papers

Derivation of midbrain dopamine neurons from human embryo...7472004202620112018200400600

Peers

María E. Rubio
Comparison fields: 5 of 117
  • Developmental Neuroscience 1.3k
  • Sensory Systems 820
  • Cellular and Molecular Neuroscience 2.9k
  • Neurology 761
  • Physiology 276
Replace Liliana Minichiello with:
Liliana Minichiello Italy
Michisuke Yuzaki Japan
Dan Goldowitz United States
Roy V. Sillitoe United States
Michael Dragunow New Zealand
Atsu Aiba Japan
Patrick Carroll France
Victor L. Friedrich United States
Shiaoching Gong United States
Angélique Bordey United States
María E. Rubio relative to Liliana Minichiello Italy Liliana Minichiello's profile →
Citations per field
00.5×3.2×
Liliana Minichiello · 1×
Citations per year

Countries citing papers authored by María E. Rubio

Since Specialization
Citations

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

Fields of papers citing papers by María E. Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María E. Rubio. 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 María E. Rubio. The network helps show where María E. Rubio may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20248
4 20220
5 202125
6 201914
7 201775
8 201618
9 201613
10 201656
11 201446
12 2012159
13 201033
14 200895
15 200736
16 2006235
17 200531
18 200540
19 2003487
20 200062

About María E. Rubio

María E. Rubio is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology and Cognitive Neuroscience, having authored 73 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (45 papers), Hearing, Cochlea, Tinnitus, Genetics (32 papers), Neural dynamics and brain function (12 papers), Biochemical Analysis and Sensing Techniques (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Hearing Loss and Rehabilitation (7 papers), Photoreceptor and optogenetics research (6 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Sensory Systems (820 citations), Cellular and Molecular Neuroscience (2.9k citations), Neurology (761 citations) and Physiology (276 citations). María E. Rubio has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Robert J. Wenthold, Juan L. Brusés, Tiziano Barberi, Norbert Topf, Lorenz Studer, Anselme L. Perrier, Viviane Tabar, Neil L. Harrison, Florentina Soto and Adán Aguirre. Their work appears in journals such as Hearing Research, Journal of Neuroscience, The Journal of Comparative Neurology, Neuroscience 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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