Katiuska Molina-Luna

725 total citations
8 papers, 537 citations indexed

About

Katiuska Molina-Luna is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Katiuska Molina-Luna has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Katiuska Molina-Luna's work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Muscle activation and electromyography studies (3 papers). Katiuska Molina-Luna is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Muscle activation and electromyography studies (3 papers). Katiuska Molina-Luna collaborates with scholars based in Germany, Switzerland and United States. Katiuska Molina-Luna's co-authors include Benjamin Hertler, Andreas R. Luft, Maximilian Schubring-Giese, Ana Pekanovic, Mengia-Seraina Rioult-Pedotti, Manuel M. Buitrago, Jonas A. Hosp, Jörg B. Schulz, W. Nisch and Florent Haiss and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience.

In The Last Decade

Katiuska Molina-Luna

8 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katiuska Molina-Luna Germany 8 299 258 197 109 78 8 537
Maximilian Schubring-Giese Switzerland 8 218 0.7× 188 0.7× 154 0.8× 87 0.8× 72 0.9× 12 418
Ana Pekanovic Switzerland 6 326 1.1× 279 1.1× 208 1.1× 135 1.2× 78 1.0× 8 678
Mengia-Seraina Rioult-Pedotti Switzerland 7 178 0.6× 219 0.8× 142 0.7× 82 0.8× 47 0.6× 8 430
Eizo Miyashita Japan 14 523 1.7× 296 1.1× 205 1.0× 89 0.8× 164 2.1× 29 762
Alexander D. Tang Australia 15 292 1.0× 268 1.0× 502 2.5× 69 0.6× 116 1.5× 27 710
Marleen T. Ochs United States 5 482 1.6× 203 0.8× 168 0.9× 86 0.8× 69 0.9× 11 719
Javier Márquez‐Ruiz Spain 14 474 1.6× 342 1.3× 547 2.8× 64 0.6× 115 1.5× 33 887
Ichiro Takashima Japan 16 340 1.1× 377 1.5× 91 0.5× 55 0.5× 79 1.0× 46 655
Hiromu Monai Japan 9 152 0.5× 267 1.0× 316 1.6× 54 0.5× 59 0.8× 17 514
Stephan Quessy Canada 15 535 1.8× 141 0.5× 216 1.1× 52 0.5× 110 1.4× 23 848

Countries citing papers authored by Katiuska Molina-Luna

Since Specialization
Citations

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

Fields of papers citing papers by Katiuska Molina-Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katiuska Molina-Luna. 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 Katiuska Molina-Luna. The network helps show where Katiuska Molina-Luna may publish in the future.

Co-authorship network of co-authors of Katiuska Molina-Luna

This figure shows the co-authorship network connecting the top 25 collaborators of Katiuska Molina-Luna. A scholar is included among the top collaborators of Katiuska Molina-Luna 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 Katiuska Molina-Luna. Katiuska Molina-Luna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wächter, Tobias, Katiuska Molina-Luna, Ana Pekanovic, et al.. (2009). Motor skill learning depends on protein synthesis in the dorsal striatum after training. Experimental Brain Research. 200(3-4). 319–323. 33 indexed citations
2.
Molina-Luna, Katiuska, Ana Pekanovic, Benjamin Hertler, et al.. (2009). Dopamine in Motor Cortex Is Necessary for Skill Learning and Synaptic Plasticity. PLoS ONE. 4(9). e7082–e7082. 241 indexed citations
3.
Hosp, Jonas A., et al.. (2009). Dopaminergic Modulation of Motor Maps in Rat Motor Cortex: An In Vivo Study. Neuroscience. 159(2). 692–700. 51 indexed citations
4.
Molina-Luna, Katiuska, Ana Pekanovic, Benjamin Hertler, et al.. (2009). Dopamine in Motor Cortex Is Necessary for Skill Learning. 31 indexed citations
5.
Hosp, Jonas A., et al.. (2008). Thin-film epidural microelectrode arrays for somatosensory and motor cortex mapping in rat. Journal of Neuroscience Methods. 172(2). 255–262. 19 indexed citations
6.
Schubring-Giese, Maximilian, Katiuska Molina-Luna, Benjamin Hertler, et al.. (2007). Speed of motor re-learning after experimental stroke depends on prior skill. Experimental Brain Research. 181(2). 359–365. 14 indexed citations
7.
Molina-Luna, Katiuska, Benjamin Hertler, Manuel M. Buitrago, & Andreas R. Luft. (2007). Motor learning transiently changes cortical somatotopy. NeuroImage. 40(4). 1748–1754. 95 indexed citations
8.
Molina-Luna, Katiuska, Manuel M. Buitrago, Benjamin Hertler, et al.. (2006). Cortical stimulation mapping using epidurally implanted thin-film microelectrode arrays. Journal of Neuroscience Methods. 161(1). 118–125. 53 indexed citations

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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