David P. Crockett

1.1k total citations
34 papers, 870 citations indexed

About

David P. Crockett is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology. According to data from OpenAlex, David P. Crockett has authored 34 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 11 papers in Developmental Neuroscience and 5 papers in Neurology. Recurrent topics in David P. Crockett's work include Neurogenesis and neuroplasticity mechanisms (11 papers), Nerve injury and regeneration (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). David P. Crockett is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (11 papers), Nerve injury and regeneration (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). David P. Crockett collaborates with scholars based in United States and Japan. David P. Crockett's co-authors include Matthias Egger, Marcel Egger, Renping Zhou, Margaret A. Cooper, Janet Alder, Smita Thakker‐Varia, Suzan L. Harris, Jonathan Lifshitz, Paul M. Bronstein and Yong Yue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Comparative Neurology.

In The Last Decade

David P. Crockett

34 papers receiving 862 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. Crockett United States 17 412 197 179 167 118 34 870
Miguel M. Carvalho Portugal 14 454 1.1× 318 1.6× 155 0.9× 284 1.7× 88 0.7× 20 1.2k
J.M. Peyronnard Canada 20 572 1.4× 265 1.3× 156 0.9× 206 1.2× 267 2.3× 29 1.0k
Agustín Castañeyra-Perdomo Spain 17 448 1.1× 302 1.5× 74 0.4× 121 0.7× 143 1.2× 76 942
Tetsuji Moriizumi Japan 18 427 1.0× 145 0.7× 93 0.5× 269 1.6× 61 0.5× 72 1.0k
Anna Östberg United Kingdom 12 610 1.5× 470 2.4× 84 0.5× 99 0.6× 114 1.0× 21 943
Haining Dai United States 16 917 2.2× 322 1.6× 538 3.0× 83 0.5× 109 0.9× 21 1.4k
Keith K. Fenrich Canada 23 572 1.4× 330 1.7× 197 1.1× 83 0.5× 138 1.2× 48 1.4k
Alexandre R. Carter United States 10 308 0.7× 217 1.1× 211 1.2× 178 1.1× 39 0.3× 17 1.0k
Roberta Anelli United States 10 330 0.8× 201 1.0× 81 0.5× 176 1.1× 93 0.8× 12 755
Grit Taschenberger Germany 16 183 0.4× 211 1.1× 79 0.4× 157 0.9× 76 0.6× 17 694

Countries citing papers authored by David P. Crockett

Since Specialization
Citations

This map shows the geographic impact of David P. Crockett'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. Crockett 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. Crockett more than expected).

Fields of papers citing papers by David P. Crockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Crockett. A scholar is included among the top collaborators of David P. Crockett 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. Crockett. David P. Crockett 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.
2.
Zhu, Wenxin, et al.. (2021). Metformin reduces neuroinflammation and improves cognitive functions after traumatic brain injury. Neuroscience Research. 172. 99–109. 22 indexed citations
3.
Crockett, David P., et al.. (2020). Reduced Reelin Expression in the Hippocampus after Traumatic Brain Injury. Biomolecules. 10(7). 975–975. 9 indexed citations
4.
Zhu, Wenxin, et al.. (2019). Loss of Par1b/MARK2 primes microglia during brain development and enhances their sensitivity to injury. Journal of Neuroinflammation. 16(1). 11–11. 19 indexed citations
5.
Alder, Janet, et al.. (2011). Lateral Fluid Percussion: Model of Traumatic Brain Injury in Mice. Journal of Visualized Experiments. 10 indexed citations
6.
Cooper, Margaret A., David P. Crockett, Richard S. Nowakowski, Nicholas W. Gale, & Renping Zhou. (2009). Distribution of EphA5 receptor protein in the developing and adult mouse nervous system. The Journal of Comparative Neurology. 514(4). 310–328. 39 indexed citations
7.
Cooper, Margaret A., et al.. (2004). Differentiation of the midbrain dopaminergic pathways during mouse development. The Journal of Comparative Neurology. 476(3). 301–311. 58 indexed citations
8.
Stern, Judith M., Yi Yu, & David P. Crockett. (2002). Dorsolateral columns of the spinal cord are necessary for both suckling-induced neuroendocrine reflexes and the kyphotic nursing posture in lactating rats. Brain Research. 947(1). 110–121. 11 indexed citations
9.
Crockett, David P., Suzan L. Harris, & Marcel Egger. (2000). Neurotrophin receptor (p75) in the trigeminal thalamus of the rat: Development, response to injury, transient vibrissa-related patterning, and retrograde transport. The Anatomical Record. 259(4). 446–460. 8 indexed citations
10.
Crockett, David P., Lu Wang, Rui-Xin Zhang, & Marcel Egger. (1999). Distribution of the low-affinity neurotrophin receptor (p75) in the developing trigeminal brainstem complex in the rat. The Anatomical Record. 254(4). 549–565. 3 indexed citations
11.
Kestler, Andrew, et al.. (1994). The up-regulation of trkA and trkB in dorsal column astrocytes following dorsal rhizotomy. Neuroscience Letters. 169(1-2). 21–24. 14 indexed citations
12.
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14.
Crockett, David P., et al.. (1993). Enhanced cytochrome-oxidase staining of the cuneate nucleus in the rat reveals a modifiable somatotopic map. Brain Research. 612(1-2). 41–55. 35 indexed citations
15.
Crockett, David P., et al.. (1992). The cuneate nucleus in the rat does have an anatomically distinct middle region. Neuroscience Letters. 139(1). 130–134. 29 indexed citations
16.
Crockett, David P., et al.. (1992). Organization of cutaneous primary afferent fibers projecting to the dorsal horn in the rat: WGA-HRP versus B-HRP. Brain Research. 569(1). 123–135. 37 indexed citations
17.
Crockett, David P., et al.. (1991). Somatotopic organization of the dorsal column nuclei in the rat: transganglionic labelling with B-HRP and WGA-HRP. Brain Research. 564(1). 56–65. 65 indexed citations
18.
Crockett, David P., et al.. (1990). Somatotopic organization of the cuneate nucleus in the rat: transganglionic labelling with WGA-HRP. Brain Research. 507(1). 164–167. 14 indexed citations
19.
Crockett, David P., Eric Proshansky, John S. Kauer, et al.. (1989). Computer‐assisted three‐dimensional reconstructions of [14C]‐2‐deoxy‐D‐glucose metabolism in cat lumbosacral spinal cord following cutaneous stimulation of the hindfoot. The Journal of Comparative Neurology. 288(2). 326–338. 2 indexed citations
20.
Crockett, David P., Suzan L. Harris, & Marcel Egger. (1987). Plantar motoneuron columns in the rat. The Journal of Comparative Neurology. 265(1). 109–118. 32 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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