Maria Reva

430 total citations
10 papers, 174 citations indexed

About

Maria Reva is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Maria Reva has authored 10 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Maria Reva's work include Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (4 papers). Maria Reva is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (4 papers). Maria Reva collaborates with scholars based in France, Switzerland and Hungary. Maria Reva's co-authors include David A. DiGregorio, Andrea Lőrincz, Zoltán Nusser, Gaël Moneron, Nelson Rebola, Miklos Szoboszlay, Yukihiro Nakamura, Denis S. Grebenkov, Noémi Holderith and Henry Markram and has published in prestigious journals such as Neuron, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Maria Reva

9 papers receiving 174 citations

Peers

Countries citing papers authored by Maria Reva

Since Specialization

Citations

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

Fields of papers citing papers by Maria Reva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Reva

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	A Detailed Model for Understanding the Human Neocortex 2026 ·bioRxiv (Cold Spring Harbor Laboratory) ·(unknown), Lida Kanari, Vishal Sood, (unknown), Alexis Arnaudon, (unknown), (unknown), (unknown), (unknown), Maria Reva, (unknown), Rodrigo Perin, Maurizio Pezzoli, Ruth Benavides‐Piccione, (unknown), Eline J. Mertens, Christiaan P. J. de Kock, Idan Segev, (unknown), (unknown)	0
2	Controlling morpho-electrophysiological variability of neurons with detailed biophysical models 2023 ·iScience ·Alexis Arnaudon, Maria Reva, Mickaël Zbili, Henry Markram, Werner Van Geit, Lida Kanari	5
3	GABAergic-like dopamine synapses in the brain 2023 ·Cell Reports ·Hyunjin Kim, (unknown), Maria Reva, (unknown), (unknown), (unknown), Eun Jeong Cho, (unknown), Seung Eun Lee, Kyungjae Myung, Ja‐Hyun Baik, Jung‐Hoon Park, Jae‐Ick Kim	9
4	A universal workflow for creation, validation, and generalization of detailed neuronal models 2023 ·Patterns ·Maria Reva, Christian Rössert, Alexis Arnaudon, (unknown), (unknown), Anıl Tuncel, Srikanth Ramaswamy, Henry Markram, Werner Van Geit	7
5	Overexpression of UCP4 in astrocytic mitochondria prevents multilevel dysfunctions in a mouse model of Alzheimer's disease 2022 ·Glia ·(unknown), Maria Reva, Francesca Binda, Leonardo Restivo, (unknown), Julien Puyal, (unknown), Yann Bernardinelli, (unknown), Henry Markram, Jean‐Yves Chatton	9
6	Different priming states of synaptic vesicles underlie distinct release probabilities at hippocampal excitatory synapses 2022 ·Neuron ·(unknown), (unknown), Noémi Holderith, Andrea Lőrincz, Maria Reva, Zoltán Nusser	20
7	A first-passage approach to diffusion-influenced reversible binding and its insights into nanoscale signaling at the presynapse 2021 ·Scientific Reports ·Maria Reva, David A. DiGregorio, Denis S. Grebenkov	18
8	Distinct Nanoscale Calcium Channel and Synaptic Vesicle Topographies Contribute to the Diversity of Synaptic Function 2021 ·Neuron ·Nelson Rebola, Maria Reva, (unknown), Miklos Szoboszlay, Andrea Lőrincz, Gaël Moneron, Zoltán Nusser, David A. DiGregorio	1
9	Distinct Nanoscale Calcium Channel and Synaptic Vesicle Topographies Contribute to the Diversity of Synaptic Function 2019 ·Neuron ·Nelson Rebola, Maria Reva, (unknown), Miklos Szoboszlay, Andrea Lőrincz, Gaël Moneron, Zoltán Nusser, David A. DiGregorio	84
10	Variations in Ca ²⁺ Influx Can Alter Chelator-Based Estimates of Ca ²⁺ Channel–Synaptic Vesicle Coupling Distance 2018 ·Journal of Neuroscience ·Yukihiro Nakamura, Maria Reva, David A. DiGregorio	21

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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