Henry Markram

38.9k total citations · 12 hit papers
173 papers, 24.2k citations indexed

About

Henry Markram is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Henry Markram has authored 173 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 113 papers in Cellular and Molecular Neuroscience and 39 papers in Molecular Biology. Recurrent topics in Henry Markram's work include Neural dynamics and brain function (111 papers), Neuroscience and Neuropharmacology Research (78 papers) and Neuroscience and Neural Engineering (48 papers). Henry Markram is often cited by papers focused on Neural dynamics and brain function (111 papers), Neuroscience and Neuropharmacology Research (78 papers) and Neuroscience and Neural Engineering (48 papers). Henry Markram collaborates with scholars based in Switzerland, Israel and United States. Henry Markram's co-authors include Misha Tsodyks, Bert Sakmann, Yun Wang, Wolfgang Maass, Gilad Silberberg, Joachim Lübke, Michael Frotscher, Thomas Natschläger, Anirudh Gupta and Maria Toledo‐Rodriguez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Henry Markram

170 papers receiving 23.6k citations

Hit Papers

Regulation of Synaptic Efficacy by Coincidence of Postsyn... 1996 2026 2006 2016 1997 2002 2004 1997 2000 500 1000 1.5k 2.0k 2.5k
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.

  1. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
    1997 2.7k citations Henry Markram et al. profile →
  2. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
    2002 2.5k citations Wolfgang Maass, Thomas Natschläger et al. Neural Computation profile →
  3. Interneurons of the neocortical inhibitory system
    2004 2.2k citations Henry Markram, Yun Wang et al. profile →
  4. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability
    1997 1.2k citations Misha Tsodyks, Henry Markram Proceedings of the National Academy of Sciences profile →
  5. Organizing Principles for a Diversity of GABAergic Interneurons and Synapses in the Neocortex
    2000 800 citations Anirudh Gupta, Yun Wang et al. profile →
  6. Differential signaling via the same axon of neocortical pyramidal neurons
    1998 793 citations Henry Markram, Yun Wang et al. Proceedings of the National Academy of Sciences profile →
  7. The Blue Brain Project
    2006 765 citations Henry Markram profile →
  8. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex.
    1997 737 citations Henry Markram et al. profile →
  9. Neural Networks with Dynamic Synapses
    1998 630 citations Misha Tsodyks, Klaus Pawelzik et al. Neural Computation profile →
  10. Redistribution of synaptic efficacy between neocortical pyramidal neurons
    1996 612 citations Henry Markram, Misha Tsodyks profile →
  11. Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells
    2007 571 citations Gilad Silberberg, Henry Markram profile →
  12. Caries Detection with Near-Infrared Transillumination Using Deep Learning
    2019 196 citations Taylor Newton, Felix Schürmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Markram Switzerland 62 16.6k 14.4k 6.5k 3.6k 3.5k 173 24.2k
David W. Tank United States 72 14.1k 0.9× 9.9k 0.7× 2.7k 0.4× 5.7k 1.6× 5.0k 1.4× 138 32.6k
Xiao‐Jing Wang United States 77 20.5k 1.2× 9.2k 0.6× 2.2k 0.3× 1.6k 0.4× 2.2k 0.7× 212 24.7k
Sacha B. Nelson United States 95 20.8k 1.3× 16.1k 1.1× 3.7k 0.6× 1.0k 0.3× 7.0k 2.0× 303 35.3k
Wulfram Gerstner Switzerland 64 15.4k 0.9× 8.6k 0.6× 9.3k 1.4× 3.6k 1.0× 922 0.3× 229 19.1k
Wolf Singer Germany 110 42.2k 2.5× 22.0k 1.5× 2.0k 0.3× 1.9k 0.5× 6.6k 1.9× 399 51.2k
Eve Marder United States 82 11.3k 0.7× 15.7k 1.1× 2.1k 0.3× 796 0.2× 4.3k 1.2× 300 22.4k
Liam Paninski United States 52 8.5k 0.5× 5.6k 0.4× 1.9k 0.3× 1.7k 0.5× 1.5k 0.4× 163 12.0k
William Bialek United States 62 9.9k 0.6× 5.0k 0.3× 1.6k 0.2× 2.5k 0.7× 4.9k 1.4× 153 18.1k
Mu‐ming Poo United States 88 9.3k 0.6× 20.2k 1.4× 4.6k 0.7× 866 0.2× 10.0k 2.9× 219 30.1k
L. F. Abbott United States 48 8.3k 0.5× 6.4k 0.4× 3.2k 0.5× 1.7k 0.5× 1.2k 0.3× 89 11.8k

Countries citing papers authored by Henry Markram

Since Specialization
Citations

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

Fields of papers citing papers by Henry Markram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Markram

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Markram. A scholar is included among the top collaborators of Henry Markram 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 Henry Markram. Henry Markram 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.
Petkantchin, Rémy, et al.. (2025). Computational Generation of Long-range Axonal Morphologies. Neuroinformatics. 23(1). 3–3. 1 indexed citations
2.
Buccino, Alessio Paolo, Julian Bartram, Mickaël Zbili, et al.. (2024). A Multimodal Fitting Approach to Construct Single-Neuron Models With Patch Clamp and High-Density Microelectrode Arrays. Neural Computation. 36(7). 1286–1331. 3 indexed citations
3.
Guiet, Romain, et al.. (2024). Structural and molecular characterization of astrocyte and vasculature connectivity in the mouse hippocampus and cortex. Glia. 72(11). 2001–2021. 1 indexed citations
4.
Keller, Daniel, Csaba Verasztó, & Henry Markram. (2023). Cell-type-specific densities in mouse somatosensory cortex derived from scRNA-seq and in situ RNA hybridization. Frontiers in Neuroanatomy. 17. 1118170–1118170. 1 indexed citations
5.
Abdellah, Marwan, Jay S. Coggan, Corrado Calı, et al.. (2022). Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings in Bioinformatics. 24(1). 5 indexed citations
6.
Chindemi, Giuseppe, Marwan Abdellah, Oren Amsalem, et al.. (2022). A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13(1). 3038–3038. 41 indexed citations
7.
Keller, Daniel, Lida Kanari, Alexis Arnaudon, et al.. (2021). Digital Reconstruction of the Neuro-Glia-Vascular Architecture. Cerebral Cortex. 31(12). 5686–5703. 35 indexed citations
8.
Newton, Taylor, et al.. (2021). In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12(1). 3630–3630. 8 indexed citations
9.
Nolte, Max, Eyal Gal, Henry Markram, & Michael Reimann. (2020). Impact of higher order network structure on emergent cortical activity. Network Neuroscience. 4(1). 292–314. 17 indexed citations
10.
Shi, Ying, Christian O’Reilly, Werner Van Geit, et al.. (2019). Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. PLoS Computational Biology. 15(5). e1006753–e1006753. 24 indexed citations
11.
Chindemi, Giuseppe, et al.. (2019). Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex. Frontiers in Synaptic Neuroscience. 11. 29–29. 13 indexed citations
12.
Hines, Michael L., et al.. (2008). Fully implicit parallel simulation of single neurons. Journal of Computational Neuroscience. 25(3). 439–448. 45 indexed citations
13.
Migliore, Michele, et al.. (2006). Parallel network simulations with NEURON. Journal of Computational Neuroscience. 21(2). 119–129. 122 indexed citations
14.
Kalisman, Nir, Gilad Silberberg, & Henry Markram. (2005). The neocortical microcircuit as a tabula rasa. Proceedings of the National Academy of Sciences. 102(3). 880–885. 146 indexed citations
15.
Silberberg, Gilad, Matthias Bethge, Henry Markram, Klaus Pawelzik, & Misha Tsodyks. (2004). Dynamics of Population Rate Codes in Ensembles of Neocortical Neurons. Journal of Neurophysiology. 91(2). 704–709. 83 indexed citations
16.
Alpert, Galit Fuhrmann, Henry Markram, & Misha Tsodyks. (2002). Spike Frequency Adaptation and Neocortical Rhythms. Journal of Neurophysiology. 88(2). 761–770. 128 indexed citations
17.
Maass, Wolfgang, Thomas Natschläger, & Henry Markram. (2002). A Model for Real-Time Computation in Generic Neural Microcircuits. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15. 229–236. 56 indexed citations
18.
Maass, Wolfgang & Henry Markram. (2002). On the Computational Power of Recurrent Circuits of Spiking Neurons. Electronic colloquium on computational complexity. 9 indexed citations
19.
Wang, Yun, Anirudh Gupta, & Henry Markram. (1999). Anatomical and functional differentiation of glutamatergic synaptic innervation in the neocortex. Journal of Physiology-Paris. 93(4). 305–317. 14 indexed citations
20.
Tsodyks, Misha & Henry Markram. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proceedings of the National Academy of Sciences. 94(2). 719–723. 1166 indexed citations breakdown →

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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