Scott M. Dyck

2.6k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Scott M. Dyck is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Scott M. Dyck has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Scott M. Dyck's work include Spinal Cord Injury Research (8 papers), Nerve injury and regeneration (8 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Scott M. Dyck is often cited by papers focused on Spinal Cord Injury Research (8 papers), Nerve injury and regeneration (8 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Scott M. Dyck collaborates with scholars based in Canada and United States. Scott M. Dyck's co-authors include Soheila Karimi‐Abdolrezaee, Arsalan Alizadeh, Jerry Silver, Bradley T. Lang, Hardeep Kataria, Kathryn M. Madalena, Shuxin Li, Sarah A. Busch, Marc A. DePaul and Amanda Tran and has published in prestigious journals such as Nature, Stem Cells and Experimental Neurology.

In The Last Decade

Scott M. Dyck

9 papers receiving 1.8k citations

Hit Papers

Traumatic Spinal Cord Injury: An Overview of Pathophysiol... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott M. Dyck Canada 9 1.0k 738 470 383 251 9 1.8k
Arsalan Alizadeh Canada 16 918 0.9× 551 0.7× 439 0.9× 329 0.9× 252 1.0× 25 1.8k
Benedikt Brommer United States 18 786 0.8× 572 0.8× 436 0.9× 258 0.7× 195 0.8× 21 1.7k
David P. Stirling United States 18 792 0.8× 671 0.9× 413 0.9× 362 0.9× 170 0.7× 28 1.8k
Peggy Assinck Canada 17 801 0.8× 729 1.0× 407 0.9× 520 1.4× 258 1.0× 22 1.7k
Lesley C. Fisher United States 13 1.6k 1.6× 824 1.1× 390 0.8× 356 0.9× 279 1.1× 22 2.3k
Kevin P. Horn United States 17 794 0.8× 1.3k 1.8× 588 1.3× 630 1.6× 200 0.8× 28 2.3k
Philippa M. Warren United Kingdom 13 698 0.7× 614 0.8× 356 0.8× 218 0.6× 177 0.7× 20 1.3k
Veronica J. Tom United States 22 827 0.8× 1.2k 1.6× 373 0.8× 550 1.4× 244 1.0× 41 1.8k
Greg J. Duncan Canada 16 906 0.9× 778 1.1× 490 1.0× 597 1.6× 334 1.3× 20 1.9k
Bingbing Song United States 15 1.2k 1.2× 1.1k 1.5× 613 1.3× 610 1.6× 351 1.4× 17 2.8k

Countries citing papers authored by Scott M. Dyck

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Dyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott M. Dyck

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Dyck. A scholar is included among the top collaborators of Scott M. 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 Scott M. Dyck. Scott M. Dyck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Dyck, Scott M., Hardeep Kataria, Arsalan Alizadeh, et al.. (2019). Acute upregulation of bone morphogenetic protein-4 regulates endogenous cell response and promotes cell death in spinal cord injury. Experimental Neurology. 325. 113163–113163. 16 indexed citations
2.
Alizadeh, Arsalan, Scott M. Dyck, & Soheila Karimi‐Abdolrezaee. (2019). Traumatic Spinal Cord Injury: An Overview of Pathophysiology, Models and Acute Injury Mechanisms. Frontiers in Neurology. 10. 282–282. 884 indexed citations breakdown →
3.
4.
Dyck, Scott M., Hardeep Kataria, Arsalan Alizadeh, et al.. (2018). Perturbing chondroitin sulfate proteoglycan signaling through LAR and PTPσ receptors promotes a beneficial inflammatory response following spinal cord injury. Journal of Neuroinflammation. 15(1). 90–90. 84 indexed citations
5.
Alizadeh, Arsalan, et al.. (2017). Neuregulin‐1 positively modulates glial response and improves neurological recovery following traumatic spinal cord injury. Glia. 65(7). 1152–1175. 57 indexed citations
6.
Dyck, Scott M. & Soheila Karimi‐Abdolrezaee. (2015). Chondroitin sulfate proteoglycans: Key modulators in the developing and pathologic central nervous system. Experimental Neurology. 269. 169–187. 151 indexed citations
7.
Alizadeh, Arsalan, Scott M. Dyck, & Soheila Karimi‐Abdolrezaee. (2015). Myelin damage and repair in pathologic CNS: challenges and prospects. Frontiers in Molecular Neuroscience. 8. 35–35. 179 indexed citations
9.
Lang, Bradley T., Jared M. Cregg, Marc A. DePaul, et al.. (2014). Modulation of the proteoglycan receptor PTPσ promotes recovery after spinal cord injury. Nature. 518(7539). 404–408. 349 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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