Javier Márquez‐Ruiz

1.3k citations
33 papers · 887 indexed · h-index 14
Topics
Transcranial Magnetic Stimulation Studies (14 papers)Vestibular and auditory disorders (11 papers)Neuroscience and Neural Engineering (9 papers)

In The Last Decade

Javier Márquez‐Ruiz

31 papers receiving 881 citations

Peers

Javier Márquez‐Ruiz
Comparison fields: 5 of 69
  • Neurology 547
  • Cognitive Neuroscience 474
  • Cellular and Molecular Neuroscience 342
  • Biomedical Engineering 115
  • Molecular Biology 84
Replace Gábor Kozák with:
Gábor Kozák Hungary
Raudel Sánchez‐Campusano Spain
Georgios P. D. Argyropoulos United Kingdom
Alia Benali Germany
Crystal T. Engineer United States
Alexander D. Tang Australia
Alexandra O. Constantinescu Romania
Fabrizio Strata United States
Michaël Russier France
Azahara Oliva United States
Javier Márquez‐Ruiz relative to Gábor Kozák Hungary Gábor Kozák's profile →
Citations per field
00.5×9.1×
Gábor Kozák · 1×
Citations per year

Countries citing papers authored by Javier Márquez‐Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by Javier Márquez‐Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Márquez‐Ruiz. 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 Javier Márquez‐Ruiz. The network helps show where Javier Márquez‐Ruiz may publish in the future.

Co-authorship network of co-authors of Javier Márquez‐Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Márquez‐Ruiz. A scholar is included among the top collaborators of Javier Márquez‐Ruiz 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 Javier Márquez‐Ruiz. Javier Márquez‐Ruiz 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 0
2 5
3 19
4 8
5 16
6 12
7 13
8 8
9 17
10 12
11 37
12 10
13 10
14
The Awake Rabbit as a Model For Studies of Transcranial Direct Current Stimulation of The Visual Cortex
1
15 206
16 26
17 143
18 17
19 10
20 48

About Javier Márquez‐Ruiz

Javier Márquez‐Ruiz is a scholar working on Neurology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 887 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), Vestibular and auditory disorders (11 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Neurology (547 citations), Cognitive Neuroscience (474 citations) and Cellular and Molecular Neuroscience (342 citations). Javier Márquez‐Ruiz has collaborated with scholars based in Spain, Belgium and United States. Frequent co-authors include Roi Cohen Kadosh, Beatrix Krause, Guy Chéron, Miguel Escudero, Agnès Gruart, Claudia Ammann, Giulio Ruffini, José M. Delgado‐García, Rocío Leal‐Campanario and Fabrice Wendling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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