Richard H. Dyck

4.4k total citations
82 papers, 3.5k citations indexed

About

Richard H. Dyck is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Richard H. Dyck has authored 82 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 23 papers in Nutrition and Dietetics. Recurrent topics in Richard H. Dyck's work include Neuroscience and Neuropharmacology Research (37 papers), Trace Elements in Health (23 papers) and Neural dynamics and brain function (12 papers). Richard H. Dyck is often cited by papers focused on Neuroscience and Neuropharmacology Research (37 papers), Trace Elements in Health (23 papers) and Neural dynamics and brain function (12 papers). Richard H. Dyck collaborates with scholars based in Canada, United States and France. Richard H. Dyck's co-authors include Craig E. Brown, Brendan B. McAllister, Michael C. Antle, Max S. Cynader, Robert J. Sutherland, Frank M. LaFerla, Roxanne Sterniczuk, M. Cynader, Clermont Beaulieu and Dennis D.M. O’Leary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Richard H. Dyck

82 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard H. Dyck Canada 34 1.4k 1.1k 794 688 472 82 3.5k
Chang-Gyu Hahn United States 30 1.4k 1.0× 1.4k 1.3× 706 0.9× 545 0.8× 406 0.9× 50 3.8k
Hitoo Nishino Japan 38 1.9k 1.3× 1.2k 1.0× 821 1.0× 260 0.4× 538 1.1× 149 4.1k
Esther Asan Germany 34 2.2k 1.5× 1.5k 1.3× 567 0.7× 188 0.3× 482 1.0× 73 3.9k
Thomas S. Hnasko United States 35 3.0k 2.1× 1.9k 1.7× 1.3k 1.7× 529 0.8× 745 1.6× 64 5.1k
Emilio Varea Spain 33 1.1k 0.8× 629 0.6× 426 0.5× 237 0.3× 221 0.5× 65 2.4k
Michael W. Miller United States 45 2.4k 1.7× 1.5k 1.3× 1.1k 1.4× 438 0.6× 267 0.6× 107 6.0k
David P.D. Woldbye Denmark 37 2.5k 1.8× 1.9k 1.7× 425 0.5× 197 0.3× 458 1.0× 129 3.9k
Sarah C. Rogan United States 12 1.2k 0.8× 851 0.8× 740 0.9× 357 0.5× 431 0.9× 19 2.8k
Michael W. Swank United States 15 1.3k 0.9× 875 0.8× 705 0.9× 194 0.3× 164 0.3× 22 2.1k
Yu Zhou China 26 1.8k 1.3× 1.8k 1.6× 1.6k 2.0× 246 0.4× 613 1.3× 100 4.5k

Countries citing papers authored by Richard H. Dyck

Since Specialization
Citations

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

Fields of papers citing papers by Richard H. Dyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Dyck. 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 Richard H. Dyck. The network helps show where Richard H. Dyck may publish in the future.

Co-authorship network of co-authors of Richard H. Dyck

This figure shows the co-authorship network connecting the top 25 collaborators of Richard H. Dyck. A scholar is included among the top collaborators of Richard H. Dyck 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 Richard H. Dyck. Richard H. Dyck 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.
Spanswick, Simon C., et al.. (2023). Vesicular Zinc Modulates Cell Proliferation and Survival in the Developing Hippocampus. Cells. 12(6). 880–880. 1 indexed citations
2.
Smith, Victoria M., et al.. (2020). Examination of Zinc in the Circadian System. Neuroscience. 432. 15–29. 3 indexed citations
3.
4.
McAllister, Brendan B., et al.. (2019). Brain-derived Neurotrophic Factor and TrkB Levels in Mice that Lack Vesicular Zinc: Effects of Age and Sex. Neuroscience. 425. 90–100. 3 indexed citations
5.
Dennis, Daniel J., Grey Wilkinson, Saiqun Li, et al.. (2017). Neurog2 and Ascl1 together regulate a postmitotic derepression circuit to govern laminar fate specification in the murine neocortex. Proceedings of the National Academy of Sciences. 114(25). E4934–E4943. 29 indexed citations
6.
Smith, Victoria M., et al.. (2017). Behavior of Adult 5-HT1A Receptor Knockout Mice Exposed to Stress During Prenatal Development. Neuroscience. 371. 16–28. 7 indexed citations
7.
Dyck, Richard H., et al.. (2017). Behavioural outcomes of adult female offspring following maternal stress and perinatal fluoxetine exposure. Behavioural Brain Research. 331. 84–91. 26 indexed citations
8.
McAllister, Brendan B., et al.. (2016). Behavioral characterization of female zinc transporter 3 (ZnT3) knockout mice. Behavioural Brain Research. 321. 36–49. 25 indexed citations
9.
Vecchiarelli, Haley A., et al.. (2016). Effects of maternal stress and perinatal fluoxetine exposure on behavioral outcomes of adult male offspring. Neuroscience. 320. 281–296. 57 indexed citations
10.
Rakai, Brooke D., et al.. (2014). Survival of Adult Generated Hippocampal Neurons Is Altered in Circadian Arrhythmic Mice. PLoS ONE. 9(6). e99527–e99527. 30 indexed citations
11.
McAllister, Brendan B., et al.. (2012). Behavioural outcomes of perinatal maternal fluoxetine treatment. Neuroscience. 226. 356–366. 54 indexed citations
12.
Butt, R. Hussain, et al.. (2011). Alterations in protein and gene expression within the barrel cortices of ZnT3 knockout mice: Experience-independent and dependent changes. Neurochemistry International. 59(6). 860–870. 9 indexed citations
13.
Dyck, Richard H., et al.. (2008). Enhanced Plasticity in Zincergic, Cortical Circuits after Exposure to Enriched Environments. Journal of Neuroscience. 28(51). 13995–13999. 13 indexed citations
14.
Dyck, Richard H., et al.. (2008). Zinc and cortical plasticity. Brain Research Reviews. 59(2). 347–373. 162 indexed citations
15.
Noorbakhsh, Farshid, Nathalie Vergnolle, David Westaway, et al.. (2007). Proteinase-Activated Receptor-2 Exerts Protective and Pathogenic Cell Type-Specific Effects in Alzheimer’s Disease. The Journal of Immunology. 179(8). 5493–5503. 53 indexed citations
16.
Dyck, Richard H., et al.. (2005). Induction of Reproducible Focal Ischemic Lesions in Neonatal Mice by Photothrombosis. Developmental Neuroscience. 27(2-4). 121–126. 27 indexed citations
17.
Schuurmans, Carol, Olivier Armant, Marta Nieto, et al.. (2004). Sequential phases of cortical specification involve Neurogenin‐dependent and ‐independent pathways. The EMBO Journal. 23(14). 2892–2902. 318 indexed citations
18.
Bland, Brian H., Jan Konopacki, & Richard H. Dyck. (2002). Relationship Between Membrane Potential Oscillations and Rhythmic Discharges in Identified Hippocampal Theta-Related Cells. Journal of Neurophysiology. 88(6). 3046–3066. 38 indexed citations
19.
Sailer, Andreas W., Geoffrey T. Swanson, Isabel Pérez‐Otaño, et al.. (1999). Generation and Analysis of GluR5(Q636R) Kainate Receptor Mutant Mice. Journal of Neuroscience. 19(20). 8757–8764. 58 indexed citations
20.
Beaulieu, Clermont, Richard H. Dyck, & Max S. Cynader. (1992). Enrichment of glutamate in zinc-containing terminals of the cat visual cortex. Neuroreport. 3(10). 861–864. 122 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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