Enrique H.S. Toloza

681 total citations
8 papers, 320 citations indexed

About

Enrique H.S. Toloza is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Enrique H.S. Toloza has authored 8 papers receiving a total of 320 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 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Enrique H.S. Toloza's work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Enrique H.S. Toloza is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Enrique H.S. Toloza collaborates with scholars based in United States. Enrique H.S. Toloza's co-authors include Lou Beaulieu-Laroche, Mark T. Harnett, Ziv M. Williams, Sydney S. Cash, Matthew P. Frosch, Emad N. Eskandar, Mathieu Lafourcade, Mark T. Harnett, G. Rees Cosgrove and Ehsan Negahbani and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Enrique H.S. Toloza

7 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enrique H.S. Toloza United States	5	217	217	65	47	26	8	320
Lou Beaulieu-Laroche United States	4	251 1.2×	227 1.0×	83 1.3×	53 1.1×	23 0.9×	5	352
Yair Deitcher Israel	5	210 1.0×	242 1.1×	59 0.9×	32 0.7×	16 0.6×	5	325
Ivan Raikov United States	6	174 0.8×	223 1.0×	35 0.5×	42 0.9×	36 1.4×	21	288
Hemanth Mohan United States	7	157 0.7×	193 0.9×	47 0.7×	16 0.3×	16 0.6×	8	268
Zimbo S. R. M. Boudewijns Netherlands	5	194 0.9×	197 0.9×	50 0.8×	20 0.4×	17 0.7×	8	316
Tobias Bock Australia	6	302 1.4×	241 1.1×	103 1.6×	21 0.4×	34 1.3×	7	384
Manuel Molano‐Mazón Italy	9	201 0.9×	213 1.0×	88 1.4×	24 0.5×	16 0.6×	13	368
Lilach Avitan Australia	12	161 0.7×	221 1.0×	62 1.0×	25 0.5×	20 0.8×	17	338
Katie Ferguson Canada	11	291 1.3×	301 1.4×	80 1.2×	23 0.5×	26 1.0×	19	432
Justin N.J. McManus United States	6	205 0.9×	274 1.3×	88 1.4×	28 0.6×	42 1.6×	7	394

Countries citing papers authored by Enrique H.S. Toloza

Since Specialization

Citations

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

Fields of papers citing papers by Enrique H.S. Toloza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique H.S. Toloza. 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 Enrique H.S. Toloza. The network helps show where Enrique H.S. Toloza may publish in the future.

Co-authorship network of co-authors of Enrique H.S. Toloza

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

All Works

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8 of 8 papers shown

1.

Voigts, Jakob, Ingmar Kanitscheider, Nicholas J. Miller, et al.. (2025). Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex. Nature Neuroscience. 28(6). 1293–1299. 1 indexed citations

2.

Voigts, Jakob, et al.. (2024). Coordinated head direction representations in mouse anterodorsal thalamic nucleus and retrosplenial cortex. eLife. 13. 4 indexed citations

3.

Toloza, Enrique H.S., Ehsan Negahbani, & Flavio Frӧhlich. (2024). Ih interacts with somato-dendritic structure to determine frequency response to weak alternating electric field stimulation. UNC Libraries.

4.

Beaulieu-Laroche, Lou, Marissa C. Hansen, Enrique H.S. Toloza, et al.. (2021). Allometric rules for mammalian cortical layer 5 neuron biophysics. Nature. 600(7888). 274–278. 72 indexed citations

5.

Beaulieu-Laroche, Lou, et al.. (2019). Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons. Neuron. 103(2). 235–241.e4. 57 indexed citations

6.

Beaulieu-Laroche, Lou, Enrique H.S. Toloza, Mathieu Lafourcade, et al.. (2018). Enhanced Dendritic Compartmentalization in Human Cortical Neurons. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

7.

Beaulieu-Laroche, Lou, Enrique H.S. Toloza, Mathieu Lafourcade, et al.. (2018). Enhanced Dendritic Compartmentalization in Human Cortical Neurons. Cell. 175(3). 643–651.e14. 164 indexed citations

8.

Toloza, Enrique H.S., Ehsan Negahbani, & Flavio Frӧhlich. (2017). I_h interacts with somato-dendritic structure to determine frequency response to weak alternating electric field stimulation. Journal of Neurophysiology. 119(3). 1029–1036. 21 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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