D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 55 Citations 17,127 128 World Ranking 1892 National Ranking 173

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Functional magnetic resonance imaging

His scientific interests lie mostly in Neuroscience, Stroke, Functional magnetic resonance imaging, Premotor cortex and Primary motor cortex. Supplementary motor area, Transcranial magnetic stimulation, Motor system, Motor cortex and Intraparietal sulcus are the subjects of his Neuroscience studies. His Stroke study which covers Functional neuroimaging that intersects with Neurological deficit, Treatment regimen, Functional anatomy and Cerebellum.

His research in Functional magnetic resonance imaging intersects with topics in Cerebral cortex and Functional imaging. His Functional imaging research focuses on Pattern recognition and how it relates to Human brain. His Voxel research incorporates elements of Broca's region, Probabilistic logic, Feature and Neuroscience research.

His most cited work include:

  • A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data (3194 citations)
  • Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty (1225 citations)
  • The functional organization of the intraparietal sulcus in humans and monkeys. (598 citations)

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

His primary areas of study are Neuroscience, Functional magnetic resonance imaging, Primary motor cortex, Transcranial magnetic stimulation and Stroke. As a member of one scientific family, Christian Grefkes mostly works in the field of Neuroscience, focusing on Premotor cortex and, on occasion, Supplementary motor area and Prefrontal cortex. His study looks at the relationship between Functional magnetic resonance imaging and fields such as Functional imaging, as well as how they intersect with chemical problems.

The various areas that Christian Grefkes examines in his Primary motor cortex study include Lateralization of brain function, Motor control, Cortex and Putamen. His biological study spans a wide range of topics, including Motor Deficit, Nuclear medicine, Corticospinal tract, Transcranial direct-current stimulation and Pyramidal tracts. His Stroke research is multidisciplinary, incorporating elements of Physical medicine and rehabilitation, Brain stimulation, Functional neuroimaging, Neuroimaging and Neural activity.

He most often published in these fields:

  • Neuroscience (81.33%)
  • Functional magnetic resonance imaging (33.33%)
  • Primary motor cortex (33.33%)

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

  • Neuroscience (81.33%)
  • Physical medicine and rehabilitation (20.89%)
  • Stroke (24.89%)

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

Neuroscience, Physical medicine and rehabilitation, Stroke, Functional magnetic resonance imaging and Primary motor cortex are his primary areas of study. His work in Neuroscience addresses issues such as Premotor cortex, which are connected to fields such as Intraparietal sulcus. In the subject of general Stroke, his work in Hemiparesis is often linked to Ceiling, thereby combining diverse domains of study.

His Functional magnetic resonance imaging research incorporates themes from Contrast, Acute ischemic stroke, Lateralization of brain function, Audiology and Stroke patient. His Primary motor cortex study is associated with Transcranial magnetic stimulation. His Transcranial magnetic stimulation research integrates issues from Motor cortex and Intracranial tumours.

Between 2017 and 2021, his most popular works were:

  • Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018). (160 citations)
  • Neuronal connectivity in major depressive disorder: a systematic review. (40 citations)
  • Corrigendum to "Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018)" [Clin. Neurophysiol. 131 (2020) 474-528]. (14 citations)

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

  • Neuroscience
  • Internal medicine
  • Cognition

Christian Grefkes mostly deals with Primary motor cortex, Neuroscience, Transcranial magnetic stimulation, Physical medicine and rehabilitation and Functional magnetic resonance imaging. His Primary motor cortex study incorporates themes from Putamen, Clinical severity, Lateralization of brain function and Reliability, Intraclass correlation. His Neuroscience research is multidisciplinary, incorporating perspectives in Healthy control, Mri studies and Ischaemic stroke.

The various areas that Christian Grefkes examines in his Transcranial magnetic stimulation study include Stroke and Neurology. Christian Grefkes has researched Physical medicine and rehabilitation in several fields, including Motor cortex, Neuromodulation, Dorsolateral prefrontal cortex and Clinical neurophysiology. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Resting state fMRI, Audiology and Contrast.

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

A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data

Simon B. Eickhoff;Klaas E. Stephan;Hartmut Mohlberg;Christian Grefkes.
NeuroImage (2005)

3694 Citations

Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty

Simon B. Eickhoff;Angela R. Laird;Christian Grefkes;Ling E. Wang.
Human Brain Mapping (2009)

1337 Citations

The functional organization of the intraparietal sulcus in humans and monkeys.

Christian Grefkes;Gereon R. Fink.
Journal of Anatomy (2005)

736 Citations

Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging

Christian Grefkes;Dennis A. Nowak;Simon B. Eickhoff;Manuel Dafotakis.
Annals of Neurology (2008)

535 Citations

Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches

Christian Grefkes;Gereon R. Fink.
Brain (2011)

503 Citations

Interhemispheric competition after stroke: brain stimulation to enhance recovery of function of the affected hand

Dennis A. Nowak;Christian Grefkes;Mitra Ameli;Gereon R. Fink.
Neurorehabilitation and Neural Repair (2009)

458 Citations

Dynamic intra- and interhemispheric interactions during unilateral and bilateral hand movements assessed with fMRI and DCM.

Christian Grefkes;Simon B. Eickhoff;Dennis A. Nowak;Manuel Dafotakis.
NeuroImage (2008)

394 Citations

Human somatosensory area 2: observer-independent cytoarchitectonic mapping, interindividual variability, and population map.

Christian Grefkes;Stefan Geyer;Thorsten Schormann;Per E. Roland.
NeuroImage (2001)

366 Citations

Crossmodal processing of object features in human anterior intraparietal cortex: an fMRI study implies equivalencies between humans and monkeys.

Christian Grefkes;Peter H. Weiss;Karl Zilles;Gereon R. Fink.
Neuron (2002)

353 Citations

Modulating cortical connectivity in stroke patients by rTMS assessed with fMRI and dynamic causal modeling

Christian Grefkes;Dennis A. Nowak;Ling E. Wang;Manuel Dafotakis.
NeuroImage (2010)

350 Citations

Editorial Boards

NeuroImage: Clinical
(Impact Factor: 4.891)

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