María E. Rubio

7.2k citations
72 papers · 5.6k · 1 hit paper · h-index 36

Impact in

Papers in

María E. Rubio

72 papers receiving 5.5k citations

María E. Rubio's Hit Papers

Derivation of midbrain dopamine neurons from human embryonic stem cells 2004 · 747 citations
7470+7+14Years since publication200400600

Peers

María E. Rubio
Comparison fields: 5 of 115
  • Developmental Neuroscience 1.3k
  • Sensory Systems 821
  • Cellular and Molecular Neuroscience 2.8k
  • Neurology 745
  • Physiology 274
Replace Liliana Minichiello with:
Liliana Minichiello Italy
Michisuke Yuzaki Japan
Matti S. Airaksinen Finland
Dan Goldowitz United States
Roy V. Sillitoe United States
Michael Dragunow New Zealand
Atsu Aiba Japan
Aldo Fasolo Italy
Patrick Carroll France
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-authors

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

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Derivation of midbrain dopamine neurons from human embryonic stem cells
Hit paper breakdown →
2004747
2 2003485
3 2007396
4 2010362
5 2006236
6 2001221
7 2006217
8 1997201
9 2009192
10 2010178
11 2007168
12 2012161
13 2005116
14 200895
15 201692
16 200479
17 201775
18 199969
19 200168
20 200966

About María E. Rubio

María E. Rubio is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology, Cognitive Neuroscience and Nutrition and Dietetics, having authored 72 papers that have together received 5.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Hearing, Cochlea, Tinnitus, Genetics (31 papers), Neural dynamics and brain function (11 papers), Biochemical Analysis and Sensing Techniques (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Ion channel regulation and function (6 papers), Photoreceptor and optogenetics research (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Sensory Systems (821 citations), Cellular and Molecular Neuroscience (2.8k citations), Neurology (745 citations) and Physiology (274 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, Norbert Topf, Tiziano Barberi, Viviane Tabar, Lorenz Studer, Anselme L. Perrier, Neil L. Harrison, Adán Aguirre and Florentina Soto. Their work appears in journals such as Journal of Neuroscience, Hearing Research, 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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