Marco Ledri

1.1k total citations
26 papers, 675 citations indexed

About

Marco Ledri is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Marco Ledri has authored 26 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Marco Ledri's work include Neuroscience and Neuropharmacology Research (17 papers), Photoreceptor and optogenetics research (12 papers) and Neuroscience and Neural Engineering (7 papers). Marco Ledri is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Photoreceptor and optogenetics research (12 papers) and Neuroscience and Neural Engineering (7 papers). Marco Ledri collaborates with scholars based in Sweden, United States and Hungary. Marco Ledri's co-authors include Mérab Kokaia, My Andersson, Litsa Nikitidou, Andreas T. Sørensen, Deniz Kirik, Johan Bengzon, Irene Kanter‐Schlifke, Iván Soltész, Karl Deisseroth and Miriam Melis and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Marco Ledri

24 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ledri Sweden 16 504 218 154 93 85 26 675
Micaela Galante France 13 522 1.0× 310 1.4× 169 1.1× 98 1.1× 41 0.5× 25 839
Dennisse V. Jimenez United States 12 313 0.6× 215 1.0× 132 0.9× 66 0.7× 51 0.6× 15 669
Luis E. Gonzalez‐Reyes United States 11 339 0.7× 130 0.6× 230 1.5× 31 0.3× 38 0.4× 12 551
Allyson Howard United States 9 526 1.0× 160 0.7× 291 1.9× 109 1.2× 115 1.4× 10 687
My Andersson Sweden 17 468 0.9× 311 1.4× 130 0.8× 21 0.2× 90 1.1× 31 726
Manabu Takaki Japan 13 309 0.6× 244 1.1× 78 0.5× 163 1.8× 69 0.8× 23 626
Diogo M. Rombo Portugal 15 394 0.8× 196 0.9× 84 0.5× 47 0.5× 68 0.8× 19 748
Silke Penschuck Switzerland 12 409 0.8× 236 1.1× 124 0.8× 23 0.2× 65 0.8× 13 626
Oliver H Miller United States 6 376 0.7× 97 0.4× 116 0.8× 308 3.3× 25 0.3× 6 669
Luca La Via Italy 18 320 0.6× 287 1.3× 74 0.5× 126 1.4× 54 0.6× 32 718

Countries citing papers authored by Marco Ledri

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ledri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ledri

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ledri. A scholar is included among the top collaborators of Marco Ledri 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 Ledri. Marco Ledri 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.
Andersson, My, et al.. (2025). Modulation of epileptogenesis through transplantation of human mesenchymal stem cells with or without GDNF release. Cellular and Molecular Life Sciences. 82(1). 316–316.
2.
Ledri, Marco & Mérab Kokaia. (2025). Gene therapy for epilepsy: An emerging, promising approach for a serious neurological disorder. Journal of Internal Medicine. 299(3). 302–327.
3.
Dudok, Barna, Diana Zala, Mariana Tasso, et al.. (2024). Presynaptic nanoscale components of retrograde synaptic signaling. Science Advances. 10(22). eado0077–eado0077. 8 indexed citations
4.
Ledri, Marco, et al.. (2023). Cell-specific switch for epileptiform activity: critical role of interneurons in the mouse subicular network. Cerebral Cortex. 33(10). 6171–6183. 4 indexed citations
5.
Ledri, Marco, et al.. (2023). Optogenetics for controlling seizure circuits for translational approaches. Neurobiology of Disease. 184. 106234–106234. 14 indexed citations
6.
7.
8.
Kudláček, Jan, et al.. (2021). Human Stem Cell-Derived GABAergic Interneurons Establish Efferent Synapses onto Host Neurons in Rat Epileptic Hippocampus and Inhibit Spontaneous Recurrent Seizures. International Journal of Molecular Sciences. 22(24). 13243–13243. 18 indexed citations
9.
Kokaia, Zaal, et al.. (2021). Human stem cell-derived GABAergic neurons functionally integrate into human neuronal networks. Scientific Reports. 11(1). 22050–22050. 16 indexed citations
10.
Bono, Antonino, et al.. (2020). Development and Validation of CRISPR Activator Systems for Overexpression of CB1 Receptors in Neurons. Frontiers in Molecular Neuroscience. 13. 168–168. 18 indexed citations
11.
Ledri, Marco, Johan Bengzon, Bo Jespersen, et al.. (2019). Inhibition of epileptiform activity by neuropeptide Y in brain tissue from drug-resistant temporal lobe epilepsy patients. Scientific Reports. 9(1). 19393–19393. 32 indexed citations
12.
Hansen, Marita Grønning, et al.. (2018). Preserved Function of Afferent Parvalbumin-Positive Perisomatic Inhibitory Synapses of Dentate Granule Cells in Rapidly Kindled Mice. Frontiers in Cellular Neuroscience. 11. 433–433. 9 indexed citations
13.
Sørensen, Andreas T., et al.. (2017). Altered Chloride Homeostasis Decreases the Action Potential Threshold and Increases Hyperexcitability in Hippocampal Neurons. eNeuro. 4(6). ENEURO.0172–17.2017. 30 indexed citations
14.
Ledri, Marco, Andreas T. Sørensen, Mikkel Madsen, et al.. (2015). Differential Effect of Neuropeptides on Excitatory Synaptic Transmission in Human Epileptic Hippocampus. Journal of Neuroscience. 35(26). 9622–9631. 41 indexed citations
15.
Ledri, Marco, Andreas T. Sørensen, Litsa Nikitidou, et al.. (2014). Optogenetic inhibition of chemically induced hypersynchronized bursting in mice. Neurobiology of Disease. 65. 133–141. 42 indexed citations
16.
Krook‐Magnuson, Esther, Marco Ledri, Iván Soltész, & Mérab Kokaia. (2014). How Might Novel Technologies Such as Optogenetics Lead to Better Treatments in Epilepsy?. Advances in experimental medicine and biology. 813. 319–336. 22 indexed citations
17.
Kokaia, Mérab, My Andersson, & Marco Ledri. (2012). An optogenetic approach in epilepsy. Neuropharmacology. 69. 89–95. 39 indexed citations
18.
Ledri, Marco, Andreas T. Sørensen, Ferenc Erdélyi, Gábor Szabó, & Mérab Kokaia. (2009). Tuning afferent synapses of hippocampal interneurons by neuropeptide Y. Hippocampus. 21(2). 198–211. 17 indexed citations
19.
Sørensen, Andreas T., Litsa Nikitidou, Marco Ledri, et al.. (2008). Hippocampal NPY gene transfer attenuates seizures without affecting epilepsy-induced impairment of LTP. Experimental Neurology. 215(2). 328–333. 57 indexed citations
20.
Kanter‐Schlifke, Irene, Andreas T. Sørensen, Marco Ledri, et al.. (2007). Galanin gene transfer curtails generalized seizures in kindled rats without altering hippocampal synaptic plasticity. Neuroscience. 150(4). 984–992. 30 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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