Bruno Delord

1.6k total citations
43 papers, 1.1k citations indexed

About

Bruno Delord is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Bruno Delord has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Bruno Delord's work include Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience and Neural Engineering (9 papers). Bruno Delord is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience and Neural Engineering (9 papers). Bruno Delord collaborates with scholars based in France, United States and Japan. Bruno Delord's co-authors include Jeanne T. Paz, Thomas J. Davidson, John R. Huguenard, Éric Fréchette, Kathy Peng, Isabel Parada, Karl Deisseroth, Hugues Berry, Stéphane Charpier and Séverine Mahon and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Blood.

In The Last Decade

Bruno Delord

42 papers receiving 1.1k citations

Peers

Bruno Delord

CMN

NEURO

EEE

Sander Idema Netherlands

David Ratel France

Marco Fichera Italy

Ziv Gil Israel

Suzanne S. Stensaas United States

Danielle Feng United States

Alla Y. Karpova United States

Dajun Xing United States

Christine Arnold United States

Michael Purcaro United States

Sander Idema Netherlands

Bruno Delord

317 ×0.5

CMN

361 ×0.7

389 ×2.2

77 ×0.7

NEURO

28 ×0.3

EEE

Citations per year, relative to Bruno Delord Bruno Delord (= 1×) peers Sander Idema

Countries citing papers authored by Bruno Delord

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Delord

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Delord

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

All Works

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20 of 20 papers shown

Naudé, Jérémie, et al.. (2024). Dopamine builds and reveals reward-associated latent behavioral attractors. Nature Communications. 15(1). 9825–9825. 2 indexed citations

Procyk, Emmanuel, et al.. (2021). The midcingulate cortex and temporal integration. International review of neurobiology. 158. 395–419. 5 indexed citations

Girard, Benoît, Jean Liénard, Carlos Enrique Gutierrez, Bruno Delord, & Kenji Doya. (2020). A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. European Journal of Neuroscience. 53(7). 2254–2277. 15 indexed citations

Clemente-Perez, Alexandra, Bryan Higashikubo, Frances S. Cho, et al.. (2019). Augmented Reticular Thalamic Bursting and Seizures in Scn1a-Dravet Syndrome. Cell Reports. 26(1). 54–64.e6. 35 indexed citations

Naudé, Jérémie, Bruno Cessac, Hugues Berry, & Bruno Delord. (2013). Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks. Journal of Neuroscience. 33(38). 15032–15043. 17 indexed citations

Naudé, Jérémie, Jeanne T. Paz, Hugues Berry, & Bruno Delord. (2012). A Theory of Rate Coding Control by Intrinsic Plasticity Effects. PLoS Computational Biology. 8(1). e1002349–e1002349. 12 indexed citations

Paz, Jeanne T., Thomas J. Davidson, Éric Fréchette, et al.. (2012). Closed-loop optogenetic control of thalamus as a tool for interrupting seizures after cortical injury. Nature Neuroscience. 16(1). 64–70. 417 indexed citations

Paz, Jeanne T., et al.. (2009). Multiple forms of activity‐dependent intrinsic plasticity in layer V cortical neurones in vivo. The Journal of Physiology. 587(13). 3189–3205. 48 indexed citations

Delord, Bruno, et al.. (2008). Specific adsorption of functionalized colloids at the surface of living cells: A quantitative kinetic analysis of the receptor-mediated binding. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(10). 2450–2457. 15 indexed citations

10.

Delord, Bruno, et al.. (2007). A New Principle for Information Storage in an Enzymatic Pathway Model. PLoS Computational Biology. 3(6). e124–e124. 17 indexed citations

11.

Quoy, Mathias, et al.. (2007). Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons. Journal of Physiology-Paris. 101(1-3). 136–148. 47 indexed citations

12.

Chenevier, Pascale, Bruno Delord, Joëlle Amédée, et al.. (2002). RGD-functionalized spherulites™ as targeted vectors captured by adherent cultured cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1593(1). 17–27. 20 indexed citations

13.

Delord, Bruno, et al.. (2000). A Model Study of Cellular Short-Term Memory Produced by Slowly Inactivating Potassium Conductances. Journal of Computational Neuroscience. 8(3). 251–273. 10 indexed citations

14.

Mahon, Séverine, Bruno Delord, Jean‐Michel Deniau, & Stéphane Charpier. (2000). Intrinsic properties of rat striatal output neurones and time‐dependent facilitation of cortical inputs in vivo. The Journal of Physiology. 527(2). 345–354. 37 indexed citations

15.

Mahon, Séverine, Jean‐Michel Deniau, Stéphane Charpier, & Bruno Delord. (2000). Role of a Striatal Slowly Inactivating Potassium Current in Short-Term Facilitation of Corticostriatal Inputs: A Computer Simulation Study. Learning & Memory. 7(5). 357–362. 29 indexed citations

16.

Delord, Bruno. (1999). Attractors and Pathological Aspects in Excitable Cells. Acta Biotheoretica. 47(3-4). 239–252. 3 indexed citations

17.

Delord, Bruno. (1999). Diversity of firing frequency control by A-currents in vertebrate neurons. Neuroreport. 10(13). 2773–2776. 1 indexed citations

18.

Delord, Bruno, et al.. (1997). Bistable behaviour in a neocortical neurone model. Neuroreport. 8(4). 1019–1023. 18 indexed citations

19.

Labouyrie, Eric, J.P. Merlio, M. Beylot‐Barry, et al.. (1993). Human Immunodeficiency Virus Type 1 Replication Within Cystic Lymphoepithelial Lesion of the Salivary Gland. American Journal of Clinical Pathology. 100(1). 41–46. 38 indexed citations

20.

Delord, Bruno, et al.. (1989). Detection of the bunyavirus Germiston in VERO and Aedes albopictus C6/36 cells by in situ hybridization using cDNA and asymmetric RNA probes. Journal of Virological Methods. 24(3). 253–264. 2 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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