Belen Lafon

1.7k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Belen Lafon is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Belen Lafon has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Belen Lafon's work include Transcranial Magnetic Stimulation Studies (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (4 papers). Belen Lafon is often cited by papers focused on Transcranial Magnetic Stimulation Studies (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (4 papers). Belen Lafon collaborates with scholars based in United States, Germany and Grenada. Belen Lafon's co-authors include Lucas C. Parra, Marom Bikson, Asif Rahman, Orrin Devinsky, Yu Huang, Anli Liu, Daniel Friedman, Werner Doyle, Michael Dayan and Xiuyuan Wang and has published in prestigious journals such as Nature Communications, NeuroImage and The Journal of Physiology.

In The Last Decade

Belen Lafon

11 papers receiving 1.1k citations

Hit Papers

Measurements and models of electric fields in the in vivo... 2017 2026 2020 2023 2017 100 200 300

Peers

Belen Lafon
Greg Kronberg United States
Timothy Wagner United States
Yuzhuo Su United States
Mihály Vöröslakos United States
Zsolt Turi Germany
Paul J. Maccabee United States
Greg Kronberg United States
Belen Lafon
Citations per year, relative to Belen Lafon Belen Lafon (= 1×) peers Greg Kronberg

Countries citing papers authored by Belen Lafon

Since Specialization
Citations

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

Fields of papers citing papers by Belen Lafon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Belen Lafon

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

All Works

12 of 12 papers shown
1.
Heneghan, Conor, Yun Liu, Logan Schneider, et al.. (2025). Insights into maternal sleep: a large-scale longitudinal analysis of real-world wearable device data before, during, and after pregnancy. EBioMedicine. 114. 105640–105640. 2 indexed citations
2.
Lafon, Belen, Simon Henin, Yu Huang, et al.. (2017). Low frequency transcranial electrical stimulation does not entrain sleep rhythms measured by human intracranial recordings. Nature Communications. 8(1). 1199–1199. 134 indexed citations
3.
Huang, Yu, Anli Liu, Belen Lafon, et al.. (2017). Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation. eLife. 6. 389 indexed citations breakdown →
4.
Huang, Yu, Anli Liu, Belen Lafon, et al.. (2017). Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation. Brain stimulation. 10(4). e25–e26. 23 indexed citations
5.
Rahman, Asif, Belen Lafon, Lucas C. Parra, & Marom Bikson. (2017). Direct current stimulation boosts synaptic gain and cooperativity in vitro. The Journal of Physiology. 595(11). 3535–3547. 53 indexed citations
6.
Lafon, Belen, Anli Liu, Yu Huang, et al.. (2017). Direct Experimental Validation of Computational Current Flow Models with Intra-Cranial Recordings in Human and Non-Human Primates. Brain stimulation. 10(1). e15–e15.
7.
Jog, Mayank, Robert X. Smith, Kay Jann, et al.. (2016). In-vivo Imaging of Magnetic Fields Induced by Transcranial Direct Current Stimulation (tDCS) in Human Brain using MRI. Scientific Reports. 6(1). 34385–34385. 41 indexed citations
8.
Lafon, Belen, Asif Rahman, Marom Bikson, & Lucas C. Parra. (2016). Direct Current Stimulation Alters Neuronal Input/Output Function. Brain stimulation. 10(1). 36–45. 102 indexed citations
9.
Jackson, Mark, et al.. (2016). Animal models of transcranial direct current stimulation: Methods and mechanisms. Clinical Neurophysiology. 127(11). 3425–3454. 208 indexed citations
10.
Rahman, Asif, Belen Lafon, & Marom Bikson. (2015). Multilevel computational models for predicting the cellular effects of noninvasive brain stimulation. Progress in brain research. 222. 25–40. 41 indexed citations
11.
Binder, Sonja, Fernando Gasca, Belen Lafon, et al.. (2014). Transcranial Slow Oscillation Stimulation During Sleep Enhances Memory Consolidation in Rats. Brain stimulation. 7(4). 508–515. 49 indexed citations
12.
Antal, Andrea, Marom Bikson, Abhishek Datta, et al.. (2012). Imaging artifacts induced by electrical stimulation during conventional fMRI of the brain. NeuroImage. 85. 1040–1047. 95 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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