Michael London

5.0k total citations · 2 hit papers
35 papers, 3.2k citations indexed

About

Michael London is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Michael London has authored 35 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Michael London's work include Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (15 papers) and Advanced Memory and Neural Computing (7 papers). Michael London is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (15 papers) and Advanced Memory and Neural Computing (7 papers). Michael London collaborates with scholars based in Israel, United Kingdom and United States. Michael London's co-authors include Michael Häusser, Idan Segev, Inbal Goshen, Tirzah Kreisel, Maya Groysman, Peter E. Latham, Arnd Roth, Tiago Branco, Nisim Perets and Daniel Offen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael London

34 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DENDRITIC COMPUTATION

2005 777 citations Michael London, Michael Häusser profile →
Astrocytic Activation Generates De Novo Neuronal Potentiation and Memory Enhancement

2018 413 citations Tirzah Kreisel, Maya Groysman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael London Israel	21	1.9k	1.9k	592	530	460	35	3.2k
Niraj S. Desai United States	14	3.0k 1.6×	2.5k 1.3×	1.1k 1.8×	743 1.4×	385 0.8×	18	4.0k
Panayiota Poirazi Greece	30	2.5k 1.3×	2.8k 1.5×	960 1.6×	784 1.5×	357 0.8×	96	4.4k
Arnd Roth United Kingdom	28	3.3k 1.8×	3.2k 1.7×	847 1.4×	728 1.4×	453 1.0×	40	4.6k
Anirudh Gupta Israel	8	2.8k 1.5×	2.6k 1.4×	706 1.2×	389 0.7×	364 0.8×	8	3.7k
Péter Barthó Hungary	24	3.1k 1.6×	3.6k 1.9×	379 0.6×	508 1.0×	283 0.6×	33	4.4k
Maria Toledo‐Rodriguez United Kingdom	18	2.5k 1.3×	2.1k 1.1×	860 1.5×	265 0.5×	372 0.8×	23	3.7k
Bartlett W. Mel United States	29	2.9k 1.5×	3.5k 1.9×	485 0.8×	1.1k 2.0×	201 0.4×	48	4.6k
Nicholas T. Carnevale United States	24	3.8k 2.0×	3.7k 1.9×	1.0k 1.7×	976 1.8×	336 0.7×	47	5.6k
Moritz Helmstaedter Germany	36	2.4k 1.3×	2.2k 1.2×	1.2k 2.0×	382 0.7×	203 0.4×	53	4.8k

Countries citing papers authored by Michael London

Since Specialization

Citations

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

Fields of papers citing papers by Michael London

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael London

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

London, Michael, et al.. (2025). GmSLM : Generative Marmoset Spoken Language Modeling. 20599–20618.

London, Michael, et al.. (2023). Cortical circuits modulate mouse social vocalizations. Science Advances. 9(39). eade6992–eade6992. 9 indexed citations

Yayon, Nadav, Oren Amsalem, Tamara Zorbaz, et al.. (2022). High‐throughput morphometric and transcriptomic profiling uncovers composition of naïve and sensory‐deprived cortical cholinergic VIP/CHAT neurons. The EMBO Journal. 42(1). e110565–e110565. 9 indexed citations

Gal, Eyal, Oren Amsalem, Michael London, et al.. (2021). The Role of Hub Neurons in Modulating Cortical Dynamics. Frontiers in Neural Circuits. 15. 718270–718270. 9 indexed citations

Doron, Michael, et al.. (2021). Synaptic Input and ACh Modulation Regulate Dendritic Ca²⁺Spike Duration in Pyramidal Neurons, Directly Affecting Their Somatic Output. Journal of Neuroscience. 42(7). 1184–1195. 3 indexed citations

Yayon, Nadav, et al.. (2020). Cortical VIP⁺/ChAT⁺ interneurons: From genetics to function. Journal of Neurochemistry. 158(6). 1320–1333. 10 indexed citations

Yayon, Nadav, Gen‐ichi Tasaka, Yair Deitcher, et al.. (2020). Barrel cortex VIP/ChAT interneurons suppress sensory responses in vivo. PLoS Biology. 18(2). e3000613–e3000613. 16 indexed citations

Perets, Nisim, et al.. (2020). Temporal structure of mouse courtship vocalizations facilitates syllable labeling. Communications Biology. 3(1). 333–333. 13 indexed citations

Groysman, Maya, et al.. (2020). Astrocytes contribute to remote memory formation by modulating hippocampal–cortical communication during learning. Nature Neuroscience. 23(10). 1229–1239. 187 indexed citations

10.

Yayon, Nadav, et al.. (2018). Intensify3D: Normalizing signal intensity in large heterogenic image stacks. Scientific Reports. 8(1). 4311–4311. 18 indexed citations

11.

Deitcher, Yair, et al.. (2018). Adrenergic Modulation Regulates the Dendritic Excitability of Layer 5 Pyramidal Neurons In Vivo. Cell Reports. 23(4). 1034–1044. 56 indexed citations

12.

Perets, Nisim, Yaël Gothelf, Ran Barzilay, et al.. (2017). Long term beneficial effect of neurotrophic factors-secreting mesenchymal stem cells transplantation in the BTBR mouse model of autism. Behavioural Brain Research. 331. 254–260. 42 indexed citations

13.

Gal, Eyal, Michael London, Amir Globerson, et al.. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature Neuroscience. 20(7). 1004–1013. 76 indexed citations

14.

Perets, Nisim, et al.. (2016). Social Ultrasonic Vocalization in Awake Head-Restrained Mouse. Frontiers in Behavioral Neuroscience. 10. 236–236. 10 indexed citations

15.

Duguid, Ian, Tiago Branco, Michael London, Paul Chadderton, & Michael Häusser. (2012). Tonic Inhibition Enhances Fidelity of Sensory Information Transmission in the Cerebellar Cortex. Journal of Neuroscience. 32(32). 11132–11143. 113 indexed citations

16.

London, Michael, et al.. (2010). Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature. 466(7302). 123–127. 289 indexed citations

17.

London, Michael, Matthew E. Larkum, & Michael Häusser. (2008). Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. Biological Cybernetics. 99(4-5). 393–401. 12 indexed citations

18.

Dayan, Peter, Michael Häusser, & Michael London. (2003). Plasticity Kernels and Temporal Statistics. MPG.PuRe (Max Planck Society). 16. 1303–1310. 8 indexed citations

19.

London, Michael, et al.. (2002). The information efficacy of a synapse. Nature Neuroscience. 5(4). 332–340. 126 indexed citations

20.

Steinmetz, Peter N., Amit Manwani, Christof Koch, Michael London, & Idan Segev. (2000). Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes. Journal of Computational Neuroscience. 9(2). 133–148. 106 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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