Craig E. Brown

3.1k total citations
40 papers, 2.3k citations indexed

About

Craig E. Brown is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Craig E. Brown has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 14 papers in Neurology and 10 papers in Molecular Biology. Recurrent topics in Craig E. Brown's work include Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (9 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Craig E. Brown is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (9 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Craig E. Brown collaborates with scholars based in Canada, United States and Germany. Craig E. Brown's co-authors include Timothy H. Murphy, Richard H. Dyck, Jamie D. Boyd, Patrick Reeson, Kelly A. Tennant, Kerry R. Delaney, Ping Li, Patrick C. Nahirney, Khatereh Aminoltejari and Heidi Erb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Craig E. Brown

39 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Craig E. Brown 911 833 632 433 413 40 2.3k
Christoph Redecker 1.1k 1.2× 993 1.2× 571 0.9× 460 1.1× 691 1.7× 73 2.6k
Nephtalı́ Marina 966 1.1× 528 0.6× 746 1.2× 664 1.5× 267 0.6× 51 3.4k
Fabienne de Bilbao 462 0.5× 309 0.4× 701 1.1× 307 0.7× 135 0.3× 39 1.9k
Cécile Viollet 1.0k 1.1× 191 0.2× 969 1.5× 234 0.5× 285 0.7× 52 2.4k
Dong‐Min Yin 1.0k 1.1× 235 0.3× 954 1.5× 255 0.6× 240 0.6× 40 2.0k
David R. Riddle 687 0.8× 373 0.4× 552 0.9× 227 0.5× 514 1.2× 51 2.1k
Hideki Hida 811 0.9× 498 0.6× 879 1.4× 110 0.3× 409 1.0× 81 2.2k
Doris D. Wang 1.6k 1.7× 509 0.6× 824 1.3× 605 1.4× 591 1.4× 67 3.3k
Chia-Jen Siao 1.8k 2.0× 369 0.4× 766 1.2× 496 1.1× 905 2.2× 16 3.1k
Ditte Lovatt 1.2k 1.3× 718 0.9× 1.1k 1.8× 293 0.7× 259 0.6× 13 2.6k

Countries citing papers authored by Craig E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Craig E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig E. Brown. 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 Craig E. Brown. The network helps show where Craig E. Brown may publish in the future.

Co-authorship network of co-authors of Craig E. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Craig E. Brown. A scholar is included among the top collaborators of Craig E. Brown 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 Craig E. Brown. Craig E. Brown 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.
Reeson, Patrick & Craig E. Brown. (2024). Collaterals and stroke reperfusion: Too few leads to too much. Neuron. 112(9). 1378–1380. 1 indexed citations
3.
Reeson, Patrick, et al.. (2022). Behavioral and Neural Activity-Dependent Recanalization of Plugged Capillaries in the Brain of Adult and Aged Mice. Frontiers in Cellular Neuroscience. 16. 876746–876746. 5 indexed citations
4.
Sharma, Sorabh & Craig E. Brown. (2021). Microvascular basis of cognitive impairment in type 1 diabetes. Pharmacology & Therapeutics. 229. 107929–107929. 10 indexed citations
5.
Tennant, Kelly A., et al.. (2017). Optogenetic rewiring of thalamocortical circuits to restore function in the stroke injured brain. Nature Communications. 8(1). 15879–15879. 89 indexed citations
6.
Nahirney, Patrick C., Patrick Reeson, & Craig E. Brown. (2015). Ultrastructural analysis of blood–brain barrier breakdown in the peri-infarct zone in young adult and aged mice. Journal of Cerebral Blood Flow & Metabolism. 36(2). 413–425. 116 indexed citations
7.
Taylor, Stephanie L., et al.. (2014). Induction of ischemic stroke in awake freely moving mice reveals that isoflurane anesthesia can mask the benefits of a neuroprotection therapy. SHILAP Revista de lepidopterología. 6. 1–1. 34 indexed citations
8.
Tennant, Kelly A. & Craig E. Brown. (2013). Diabetes AugmentsIn VivoMicrovascular Blood Flow Dynamics after Stroke. Journal of Neuroscience. 33(49). 19194–19204. 43 indexed citations
9.
Holmes, Andrew, et al.. (2012). Diabetes Impairs Cortical Plasticity and Functional Recovery Following Ischemic Stroke. Journal of Neuroscience. 32(15). 5132–5143. 66 indexed citations
10.
Brown, Craig E., et al.. (2012). α4* Nicotinic Acetylcholine Receptors Modulate Experience-Based Cortical Depression in the Adult Mouse Somatosensory Cortex. Journal of Neuroscience. 32(4). 1207–1219. 11 indexed citations
11.
Brown, Craig E., et al.. (2007). Differential regulation of cell proliferation in neurogenic zones in mice lacking cystine transport by xCT. Biochemical and Biophysical Research Communications. 364(3). 528–533. 13 indexed citations
12.
Brown, Craig E., Ping Li, Jamie D. Boyd, Kerry R. Delaney, & Timothy H. Murphy. (2007). Extensive Turnover of Dendritic Spines and Vascular Remodeling in Cortical Tissues Recovering from Stroke. Journal of Neuroscience. 27(15). 4101–4109. 289 indexed citations
13.
Brown, Craig E., et al.. (2006). Zincergic innervation of the forebrain distinguishes epilepsy-prone from epilepsy-resistant rat strains. Neuroscience. 144(4). 1409–1414. 10 indexed citations
14.
Brown, Craig E. & Richard H. Dyck. (2005). Retrograde tracing of the subset of afferent connections in mouse barrel cortex provided by zincergic neurons. The Journal of Comparative Neurology. 486(1). 48–60. 18 indexed citations
15.
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
16.
Brown, Craig E. & Richard H. Dyck. (2004). Distribution of zincergic neurons in the mouse forebrain. The Journal of Comparative Neurology. 479(2). 156–167. 56 indexed citations
17.
Brown, Craig E. & Richard H. Dyck. (2003). Experience-dependent regulation of synaptic zinc is impaired in the cortex of aged mice. Neuroscience. 119(3). 795–801. 26 indexed citations
18.
Brown, Craig E., Isabelle Seif, Edward De Maeyer, & Richard H. Dyck. (2003). Altered zincergic innervation of the developing primary somatosensory cortex in monoamine oxidase-A knockout mice. Developmental Brain Research. 142(1). 19–29. 14 indexed citations
19.
Brown, Craig E. & Richard H. Dyck. (2003). An improved method for visualizing the cell bodies of zincergic neurons. Journal of Neuroscience Methods. 129(1). 41–47. 14 indexed citations
20.
Brown, Craig E. & Bengt Magnuson. (2000). On the physics of the infant feeding bottle and middle ear sequela: Ear disease in infants can be associated with bottle feeding. International Journal of Pediatric Otorhinolaryngology. 54(1). 13–20. 33 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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