M. Qü

805 citations
9 papers · 658 · h-index 8

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Motor Control and Adaptation

Papers in

M. Qü

9 papers receiving 645 citations

Peers

M. Qü
Comparison fields: 5 of 71
  • Neurology 139
  • Cognitive Neuroscience 324
  • Cellular and Molecular Neuroscience 276
  • Developmental Neuroscience 36
  • Psychiatry and Mental health 80
Replace Markus Beu with:
Markus Beu Germany
Slavianka Moyanova Bulgaria
Patricia C. Rinaldi United States
Diane Daly Ralston United States
M Lamarche France
Magdalena Sabaté Spain
Ken’ichi Matsunami Japan
Nobuhiko Hatanaka Japan
JH Kaas United States
Franco Angeleri Italy
M. Qü relative to Markus Beu Germany Markus Beu's profile →
Citations per field
00.5×2.6×
Markus Beu · 1×
Citations per year

Countries citing papers authored by M. Qü

Since Specialization
Citations

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

Fields of papers citing papers by M. Qü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Qü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Qü Line = papers co-authored together M. Qü links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Mapping of human and macaque sensorimotor areas by integrating architectonic, transmitter receptor, MRI and PET data.
1995182
2
Anatomy and transmitter receptors of the supplementary motor areas in the human and nonhuman primate brain.
1996112
3 1998103
4 199978
5 199168
6 199863
7 199933
8
Plasticity and neurotransmitter receptor changes in Alzheimer's disease and experimental cortical infarcts.
199518
9 20241

About M. Qü

M. Qü is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 658 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (3 papers), Epilepsy research and treatment (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neural dynamics and brain function (2 papers), MRI in cancer diagnosis (1 paper), Memory and Neural Mechanisms (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Neurology (139 citations), Cognitive Neuroscience (324 citations), Cellular and Molecular Neuroscience (276 citations), Developmental Neuroscience (36 citations) and Psychiatry and Mental health (80 citations). M. Qü has collaborated with scholars based in Germany and China. Frequent co-authors include Karl Zilles, Axel Schleicher, Heiko J. Luhmann, Thomas Mittmann, Massimo Matelli, Giuseppe Luppino, Gottfried Schlaug, Rüdiger Köhling, E.‐J. Speckmann and Rüdiger J. Seitz. Their work appears in journals such as Neuroscience, Journal of Magnetic Resonance Imaging and PubMed.

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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