D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 53 Citations 15,101 97 World Ranking 2079 National Ranking 56

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Neuron
  • Gene

Neuroscience, Barrel cortex, Somatosensory system, Sensory system and Excitatory postsynaptic potential are his primary areas of study. Neuroscience is a component of his Cortical column, Neuron, Cerebral cortex, Cellular neuroscience and Non-spiking neuron studies. His Barrel cortex research includes themes of Neocortex, Whisking in animals, Anatomy and Thalamus.

His Somatosensory system research is multidisciplinary, relying on both Electrophysiology, Postsynaptic potential, Sensory processing and Perception. His Sensory system study integrates concerns from other disciplines, such as Motor cortex and Motor control. His Excitatory postsynaptic potential study incorporates themes from Voltage-sensitive dye and Cortical map.

His most cited work include:

  • Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex (1104 citations)
  • Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice (686 citations)
  • The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex (668 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Neuroscience, Barrel cortex, Sensory system, Somatosensory system and Neocortex. His study brings together the fields of Neurotransmission and Neuroscience. His Barrel cortex research incorporates themes from Postsynaptic potential, Premovement neuronal activity, Anatomy, Membrane potential and Cortex.

His Sensory system research is multidisciplinary, incorporating perspectives in Stimulus, Perception and Thalamus. His Somatosensory system study combines topics in areas such as Biological neural network and Electrophysiology. His research in Neocortex intersects with topics in Cortical column and Visual cortex.

He most often published in these fields:

  • Neuroscience (71.33%)
  • Barrel cortex (39.16%)
  • Sensory system (27.97%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (71.33%)
  • Barrel cortex (39.16%)
  • Sensory system (27.97%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Neuroscience, Barrel cortex, Sensory system, Somatosensory system and Motor cortex. His research is interdisciplinary, bridging the disciplines of Licking and Neuroscience. His research in Barrel cortex tackles topics such as Neocortex which are related to areas like Neurotransmission.

His Sensory system research includes elements of Electrophysiology, Perception and Sensation. His Somatosensory system research is multidisciplinary, incorporating perspectives in Biological neural network and Premovement neuronal activity. As part of one scientific family, Carl C.H. Petersen deals mainly with the area of Motor cortex, narrowing it down to issues related to the Sensory cortex, and often Anatomy.

Between 2017 and 2021, his most popular works were:

  • Reward-Based Learning Drives Rapid Sensory Signals in Medial Prefrontal Cortex and Dorsal Hippocampus Necessary for Goal-Directed Behavior (64 citations)
  • Sensorimotor processing in the rodent barrel cortex (62 citations)
  • Neural Circuits for Goal-Directed Sensorimotor Transformations (37 citations)

In his most recent research, the most cited papers focused on:

  • Neuron
  • Neuroscience
  • Gene

Carl C.H. Petersen focuses on Neuroscience, Barrel cortex, Somatosensory system, Sensory system and Neocortex. His study in Motor cortex, Cortex, Whisking in animals, Local field potential and Inhibitory postsynaptic potential is carried out as part of his Neuroscience studies. His work is dedicated to discovering how Motor cortex, Sensory cortex are connected with Anatomy and other disciplines.

The Local field potential study combines topics in areas such as Membrane potential, Electrophysiology, Optogenetics and Neurotransmission. His Somatosensory system study deals with Biological neural network intersecting with Mammalian brain and Licking. His Sensory system research includes themes of Perception and Premovement neuronal activity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex

Giorgio A. Ascoli;Lidia Alonso-Nanclares;Stewart A. Anderson;German Barrionuevo.
Nature Reviews Neuroscience (2008)

1380 Citations

The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex

Sandrine Lefort;Christian Tomm;J.-C. Floyd Sarria;Carl C.H. Petersen.
Neuron (2009)

787 Citations

Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice

James F. A. Poulet;Carl C. H. Petersen.
Nature (2008)

768 Citations

Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex

Carl C. H. Petersen;Thomas T. G. Hahn;Mayank Mehta;Amiram Grinvald.
Proceedings of the National Academy of Sciences of the United States of America (2003)

721 Citations

The Functional Organization of the Barrel Cortex

Carl C.H. Petersen.
Neuron (2007)

677 Citations

Spatiotemporal dynamics of cortical sensorimotor integration in behaving mice.

Isabelle Ferezou;Florent Haiss;Luc J. Gentet;Rachel Aronoff.
Neuron (2007)

604 Citations

Correlating whisker behavior with membrane potential in barrel cortex of awake mice

Sylvain Crochet;Carl C H Petersen.
Nature Neuroscience (2006)

506 Citations

Visualizing the Cortical Representation of Whisker Touch: Voltage-Sensitive Dye Imaging in Freely Moving Mice

Isabelle Ferezou;Sonia Bolea;Carl C.H. Petersen.
Neuron (2006)

496 Citations

Membrane Potential Dynamics of GABAergic Neurons in the Barrel Cortex of Behaving Mice

Luc J. Gentet;Michael Avermann;Ferenc Matyas;Jochen F. Staiger.
Neuron (2010)

425 Citations

Spatiotemporal dynamics of sensory responses in layer 2/3 of rat barrel cortex measured in vivo by voltage-sensitive dye imaging combined with whole-cell voltage recordings and neuron reconstructions.

Carl C. H. Petersen;Amiram Grinvald;Bert Sakmann.
The Journal of Neuroscience (2003)

417 Citations

Best Scientists Citing Carl C. H. Petersen

Markus Diesmann

Markus Diesmann

RWTH Aachen University

Publications: 101

Ole H. Petersen

Ole H. Petersen

Cardiff University

Publications: 81

Karl Deisseroth

Karl Deisseroth

Stanford University

Publications: 67

Javier DeFelipe

Javier DeFelipe

Technical University of Madrid

Publications: 56

Karel Svoboda

Karel Svoboda

Howard Hughes Medical Institute

Publications: 53

Fritjof Helmchen

Fritjof Helmchen

University of Zurich

Publications: 50

Kenneth D. Harris

Kenneth D. Harris

University College London

Publications: 47

Hongkui Zeng

Hongkui Zeng

Allen Institute for Brain Science

Publications: 44

Rafael Yuste

Rafael Yuste

Columbia University

Publications: 41

Henry Markram

Henry Markram

École Polytechnique Fédérale de Lausanne

Publications: 40

Nicolas Brunel

Nicolas Brunel

Duke University

Publications: 40

Timothy H. Murphy

Timothy H. Murphy

University of British Columbia

Publications: 38

David Kleinfeld

David Kleinfeld

University of California, San Diego

Publications: 36

Giorgio A. Ascoli

Giorgio A. Ascoli

George Mason University

Publications: 36

Jochen F. Staiger

Jochen F. Staiger

University of Göttingen

Publications: 35

Michael Brecht

Michael Brecht

Humboldt-Universität zu Berlin

Publications: 35

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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