David P. Stirling

2.3k total citations
28 papers, 1.8k citations indexed

About

David P. Stirling is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, David P. Stirling has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in David P. Stirling's work include Spinal Cord Injury Research (20 papers), Nerve injury and regeneration (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). David P. Stirling is often cited by papers focused on Spinal Cord Injury Research (20 papers), Nerve injury and regeneration (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). David P. Stirling collaborates with scholars based in United States, Canada and United Kingdom. David P. Stirling's co-authors include V. Wee Yong, Wolfram Tetzlaff, John D. Steeves, Peter K. Stys, Matt S. Ramer, Lowell T. McPhail, Christopher B. McBride, Jie Liu, Shuhong Liu and Paul Kubes and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

David P. Stirling

26 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Stirling United States 18 792 671 638 413 362 28 1.8k
Benedikt Brommer United States 18 786 1.0× 572 0.9× 296 0.5× 436 1.1× 258 0.7× 21 1.7k
Lesley C. Fisher United States 13 1.6k 2.0× 824 1.2× 476 0.7× 390 0.9× 356 1.0× 22 2.3k
Bradley T. Lang United States 18 503 0.6× 908 1.4× 528 0.8× 734 1.8× 664 1.8× 20 2.2k
Arsalan Alizadeh Canada 16 918 1.2× 551 0.8× 249 0.4× 439 1.1× 329 0.9× 25 1.8k
Jennifer Wells Canada 9 425 0.5× 415 0.6× 475 0.7× 343 0.8× 191 0.5× 11 1.4k
Kazu Kobayakawa Japan 17 693 0.9× 538 0.8× 308 0.5× 332 0.8× 300 0.8× 37 1.4k
Andrew D. Greenhalgh Canada 22 565 0.7× 474 0.7× 1.3k 2.0× 676 1.6× 281 0.8× 34 2.7k
Scott M. Dyck Canada 9 1.0k 1.3× 738 1.1× 243 0.4× 470 1.1× 383 1.1× 9 1.8k
Alexander Marcillo United States 20 1.3k 1.7× 1.1k 1.7× 245 0.4× 405 1.0× 535 1.5× 30 2.3k
Peggy Assinck Canada 17 801 1.0× 729 1.1× 245 0.4× 407 1.0× 520 1.4× 22 1.7k

Countries citing papers authored by David P. Stirling

Since Specialization
Citations

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

Fields of papers citing papers by David P. Stirling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Stirling. 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 David P. Stirling. The network helps show where David P. Stirling may publish in the future.

Co-authorship network of co-authors of David P. Stirling

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Stirling. A scholar is included among the top collaborators of David P. Stirling 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 David P. Stirling. David P. Stirling 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.
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Jones, Emma S., et al.. (2024). NKCC1 inhibition reduces periaxonal swelling, increases white matter sparing, and improves neurological recovery after contusive SCI. Neurobiology of Disease. 199. 106611–106611. 1 indexed citations
3.
Stirling, David P., et al.. (2023). Ca2+-induced myelin pathology precedes axonal spheroid formation and is mediated in part by store-operated Ca2+ entry after spinal cord injury. Neural Regeneration Research. 18(12). 2720–2726. 4 indexed citations
4.
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Stirling, David P., et al.. (2021). Inhibiting Calcium Release from Ryanodine Receptors Protects Axons after Spinal Cord Injury. Journal of Neurotrauma. 39(3-4). 311–319. 7 indexed citations
6.
Stirling, David P., et al.. (2020). IP3R-mediated intra-axonal Ca2+ release contributes to secondary axonal degeneration following contusive spinal cord injury. Neurobiology of Disease. 146. 105123–105123. 19 indexed citations
7.
Stirling, David P., et al.. (2020). Repeat intravital imaging of the murine spinal cord reveals degenerative and reparative responses of spinal axons in real-time following a contusive SCI. Experimental Neurology. 327. 113258–113258. 13 indexed citations
8.
Stirling, David P., et al.. (2019). Inhibiting store-operated calcium entry attenuates white matter secondary degeneration following SCI. Neurobiology of Disease. 136. 104718–104718. 10 indexed citations
9.
Pelisch, Nicolas, et al.. (2017). Differential expression of ryanodine receptor isoforms after spinal cord injury. Neuroscience Letters. 660. 51–56. 11 indexed citations
10.
Pelisch, Nicolas, et al.. (2017). The toll-like receptor 2 agonist Pam3CSK4 is neuroprotective after spinal cord injury. Experimental Neurology. 294. 1–11. 25 indexed citations
11.
Plemel, Jason R., V. Wee Yong, & David P. Stirling. (2014). Immune modulatory therapies for spinal cord injury – Past, present and future. Experimental Neurology. 258. 91–104. 60 indexed citations
12.
Stys, Peter K., et al.. (2014). An <em>Ex Vivo</em> Laser-induced Spinal Cord Injury Model to Assess Mechanisms of Axonal Degeneration in Real-time. Journal of Visualized Experiments. e52173–e52173. 5 indexed citations
13.
Lau, Lorraine, Michael B. Keough, Sarah Haylock‐Jacobs, et al.. (2012). Chondroitin sulfate proteoglycans in demyelinated lesions impair remyelination. Annals of Neurology. 72(3). 419–432. 203 indexed citations
14.
Stirling, David P. & Peter K. Stys. (2010). Mechanisms of axonal injury: internodal nanocomplexes and calcium deregulation. Trends in Molecular Medicine. 16(4). 160–170. 127 indexed citations
15.
Stirling, David P., Shuhong Liu, Paul Kubes, & V. Wee Yong. (2009). Depletion of Ly6G/Gr-1 Leukocytes after Spinal Cord Injury in Mice Alters Wound Healing and Worsens Neurological Outcome. Journal of Neuroscience. 29(3). 753–764. 186 indexed citations
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Yong, V. Wee, Smriti Agrawal, & David P. Stirling. (2007). Targeting MMPs in Acute and Chronic Neurological Conditions. Neurotherapeutics. 4(4). 580–589. 56 indexed citations
18.
McPhail, Lowell T., David P. Stirling, Wolfram Tetzlaff, Jacek M. Kwiecień, & Matt S. Ramer. (2004). The contribution of activated phagocytes and myelin degeneration to axonal retraction/dieback following spinal cord injury. European Journal of Neuroscience. 20(8). 1984–1994. 53 indexed citations
19.
Stirling, David P., Jie Liu, Lowell T. McPhail, et al.. (2004). Minocycline Treatment Reduces Delayed Oligodendrocyte Death, Attenuates Axonal Dieback, and Improves Functional Outcome after Spinal Cord Injury. Journal of Neuroscience. 24(9). 2182–2190. 410 indexed citations
20.
Thomas, Angela & David P. Stirling. (2003). Four factor deficiency. Blood Coagulation & Fibrinolysis. 14(SUPPLEMENT 1). S55–S57. 12 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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