J. S. McCasland

815 total citations
10 papers, 661 citations indexed

About

J. S. McCasland is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, J. S. McCasland has authored 10 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in J. S. McCasland's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Marine animal studies overview (2 papers). J. S. McCasland is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Marine animal studies overview (2 papers). J. S. McCasland collaborates with scholars based in United States and Canada. J. S. McCasland's co-authors include Kerry L. Bernardo, Thomas A. Woolsey, Donna L. Maier, Amelia J. Eisch, Diane C. Lagace, Kimberly Zaccaria, Jan Brunstrom, Jacob G. Dubroff, A. L. Pearlman and Lyndon S. Hibbard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

J. S. McCasland

10 papers receiving 650 citations

Peers

J. S. McCasland

DB

EEBS

ECOLO

CN

CMN

Teresa A. Nick United States

Dina Lipkind United States

Tarciso Velho United States

Yoko Yazaki‐Sugiyama Japan

Eric E. Bauer United States

Michael A. Farries United States

Liisa A. Tremere United States

Haruhito Horita Japan

Deana A. Bodnar United States

Melville J. Wohlgemuth United States

Teresa A. Nick United States

J. S. McCasland

296 ×0.7

DB

262 ×0.7

EEBS

231 ×0.7

ECOLO

105 ×0.6

CN

168 ×1.1

CMN

Citations per year, relative to J. S. McCasland J. S. McCasland (= 1×) peers Teresa A. Nick

Countries citing papers authored by J. S. McCasland

Since Specialization

Citations

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

Fields of papers citing papers by J. S. McCasland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. McCasland. 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 J. S. McCasland. The network helps show where J. S. McCasland may publish in the future.

Co-authorship network of co-authors of J. S. McCasland

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

All Works

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10 of 10 papers shown

1.

Zaccaria, Kimberly, Diane C. Lagace, Amelia J. Eisch, & J. S. McCasland. (2010). Resistance to change and vulnerability to stress: autistic‐like features of GAP43‐deficient mice. Genes Brain & Behavior. 9(8). 985–996. 41 indexed citations

2.

Kelly, Emily A., Marie‐Ève Tremblay, J. S. McCasland, & Ania K. Majewska. (2009). Postsynaptic Deregulation in GAP-43 Heterozygous Mouse Barrel Cortex. Cerebral Cortex. 20(7). 1696–1707. 8 indexed citations

3.

Dubroff, Jacob G., Richard T. Stevens, James M. Hitt, Charles J. Hodge, & J. S. McCasland. (2005). Anomalous functional organization of barrel cortex in GAP-43 deficient mice. NeuroImage. 29(4). 1040–1048. 11 indexed citations

4.

Dubroff, Jacob G., Richard T. Stevens, James M. Hitt, et al.. (2005). Use-dependent plasticity in barrel cortex: Intrinsic signal imaging reveals functional expansion of spared whisker representation into adjacent deprived columns. Somatosensory & Motor Research. 22(1-2). 25–35. 11 indexed citations

5.

Maier, Donna L. & J. S. McCasland. (1997). Calcium-Binding Protein Phenotype Defines Metabolically Distinct Groups of Neurons in Barrel Cortex of Behaving Hamsters. Experimental Neurology. 145(1). 71–80. 18 indexed citations

6.

Hibbard, Lyndon S., J. S. McCasland, Jan Brunstrom, & A. L. Pearlman. (1996). Automated recognition and mapping of immunolabelled neurons in the developing brain. Journal of Microscopy. 183(3). 241–256. 14 indexed citations

7.

McCasland, J. S., et al.. (1992). Cortical local circuit axons do not mature after early deafferentation.. Proceedings of the National Academy of Sciences. 89(5). 1832–1836. 50 indexed citations

8.

Bernardo, Kerry L., J. S. McCasland, & Thomas A. Woolsey. (1990). Local axonal trajectories in mouse barrel cortex. Experimental Brain Research. 82(2). 247–53. 64 indexed citations

9.

McCasland, J. S.. (1987). Neuronal control of bird song production. Journal of Neuroscience. 7(1). 23–39. 218 indexed citations

10.

McCasland, J. S., et al.. (1981). Interaction between auditory and motor activities in an avian song control nucleus.. Proceedings of the National Academy of Sciences. 78(12). 7815–7819. 226 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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