Marco Leite

1.5k total citations · 1 hit paper
24 papers, 957 citations indexed

About

Marco Leite is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Marco Leite has authored 24 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Marco Leite's work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Marco Leite is often cited by papers focused on Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Marco Leite collaborates with scholars based in United Kingdom, Portugal and United States. Marco Leite's co-authors include Patrícia Figueiredo, Alberto Leal, Louis Lemieux, Dimitri M. Kullmann, Vincent Magloire, Teresa Murta, David W. Carmichael, Yoshiteru Shimoda, Jonathan S. Marvin and Ilya Kolb and has published in prestigious journals such as Science, Journal of Neuroscience and NeuroImage.

In The Last Decade

Marco Leite

24 papers receiving 947 citations

Hit Papers

A genetically encoded fluorescent sensor for in vivo imag... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Marco Leite
Disha Shah Belgium
Lawrence N. Eisenman United States
An Vo United States
Limin Sun United States
Jordan S. Farrell United States
Christian Lee United States
Marco Leite
Citations per year, relative to Marco Leite Marco Leite (= 1×) peers Pei-Ji Liang

Countries citing papers authored by Marco Leite

Since Specialization
Citations

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

Fields of papers citing papers by Marco Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Leite. A scholar is included among the top collaborators of Marco Leite 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 Marco Leite. Marco Leite 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
1.
Shimoda, Yoshiteru, Marco Leite, Jonathan S. Marvin, et al.. (2023). Extracellular glutamate and GABA transients at the transition from interictal spiking to seizures. Brain. 147(3). 1011–1024. 15 indexed citations
2.
Carpenter, Jenna C., Marco Leite, Stéphanie Schorge, et al.. (2023). Anti-seizure gene therapy for focal cortical dysplasia. Brain. 147(2). 542–553. 21 indexed citations
3.
Carpenter, Jenna C., Marco Leite, Albert Snowball, et al.. (2022). On-demand cell-autonomous gene therapy for brain circuit disorders. Science. 378(6619). 523–532. 55 indexed citations
4.
Cornford, Jonathan, et al.. (2021). Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units. UCL Discovery (University College London). 1 indexed citations
5.
Binks, Sophie, Michele Veldsman, Ava Easton, et al.. (2021). Residual Fatigue and Cognitive Deficits in Patients After Leucine-Rich Glioma-Inactivated 1 Antibody Encephalitis. JAMA Neurology. 78(5). 617–617. 52 indexed citations
6.
Kaushik, Rahul, Marco Leite, E Chabrol, et al.. (2020). LGI1 downregulation increases neuronal circuit excitability. Epilepsia. 61(12). 2836–2846. 16 indexed citations
7.
Marvin, Jonathan S., Yoshiteru Shimoda, Vincent Magloire, et al.. (2019). A genetically encoded fluorescent sensor for in vivo imaging of GABA. Nature Methods. 16(8). 763–770. 249 indexed citations breakdown →
8.
Miranda, José García Vivas, Marco Leite, Niraj Sharma, et al.. (2018). Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications. Frontiers in Physiology. 9. 1767–1767. 35 indexed citations
9.
Miranda, José García Vivas, Marco Leite, Niraj Sharma, et al.. (2018). Fractal and multifractal properties of electrographic recordings of human brain activity.. 1 indexed citations
10.
Nicholson, Elizabeth, Dmitry Kuzmin, Marco Leite, Thomas Akam, & Dimitri M. Kullmann. (2018). Analogue closed-loop optogenetic modulation of hippocampal pyramidal cells dissociates gamma frequency and amplitude. eLife. 7. 13 indexed citations
11.
Morris, Gareth, Marco Leite, Dimitri M. Kullmann, et al.. (2017). Activity Clamp Provides Insights into Paradoxical Effects of the Anti-Seizure Drug Carbamazepine. Journal of Neuroscience. 37(22). 5484–5495. 7 indexed citations
12.
Sharma, Niraj, Carlos E. Pedreira, María Centeno, et al.. (2017). A novel scheme for the validation of an automated classification method for epileptic spikes by comparison with multiple observers. Clinical Neurophysiology. 128(7). 1246–1254. 7 indexed citations
13.
Abreu, Rodolfo, Marco Leite, João Jorge, et al.. (2016). Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG-fMRI. NeuroImage. 135. 45–63. 30 indexed citations
14.
Murta, Teresa, Ujwal Chaudhary, Tim M. Tierney, et al.. (2016). Phase–amplitude coupling and the BOLD signal: A simultaneous intracranial EEG (icEEG) - fMRI study in humans performing a finger-tapping task. NeuroImage. 146. 438–451. 34 indexed citations
15.
Abreu, Rodolfo, Marco Leite, Alberto Leal, & Patrícia Figueiredo. (2015). Objective selection of epilepsy-related independent components from EEG data. Journal of Neuroscience Methods. 258. 67–78. 7 indexed citations
16.
Abreu, Rodolfo, Marco Leite, Alberto Leal, & Patrícia Figueiredo. (2015). STTICS: A template-based algorithm for the objective selection of epilepsy-related EEG ICA components. 20. 343–346. 3 indexed citations
17.
Papadopoulou, Margarita, Marco Leite, Pieter van Mierlo, et al.. (2014). Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy. NeuroImage. 107. 117–126. 29 indexed citations
18.
Murta, Teresa, Marco Leite, David W. Carmichael, Patrícia Figueiredo, & Louis Lemieux. (2014). Electrophysiological correlates of the BOLD signal for EEG-informed fMRI. Human Brain Mapping. 36(1). 391–414. 112 indexed citations
19.
Leite, Marco, Alberto Leal, & Patrícia Figueiredo. (2013). Transfer Function between EEG and BOLD Signals of Epileptic Activity. Frontiers in Neurology. 4. 1–1. 196 indexed citations
20.
Leite, Marco, Patrícia Figueiredo, & Alberto Leal. (2012). Estimation of the haemodynamic response to epileptic activity in EEG-fMRI data. 131. 1–6. 1 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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