James S. McCasland
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Developmental Neuroscience top 5%
- Cell Biology
- Co-authors
- Thomas A. WoolseyStacy L. DonovanKerry L. BernardoLyndon S. HibbardDonna L. MaierDan SoppetKarina F. MeiriShyamala Mani
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Neural dynamics and brain function (7 papers)Neuroscience and Neural Engineering (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Comparative Neurology
- Partner nations
- United States
In The Last Decade
James S. McCasland
21 papers receiving 737 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 536
- Cognitive Neuroscience 357
- Molecular Biology 169
- Developmental Neuroscience 110
- Cell Biology 64
Countries citing papers authored by James S. McCasland
This map shows the geographic impact of James 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 James 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 James S. McCasland more than expected).
Fields of papers citing papers by James S. McCasland
This network shows the impact of papers produced by James 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 James S. McCasland. The network helps show where James S. McCasland may publish in the future.
Co-authorship network of co-authors of James S. McCasland
This figure shows the co-authorship network connecting the top 25 collaborators of James S. McCasland. A scholar is included among the top collaborators of James 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 James S. McCasland. James S. McCasland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 19 | |
| 8 | 81 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 56 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 24 | |
| 17 | 44 | |
| 18 | 130 | |
| 19 | 27 | |
| 20 | 92 |
About James S. McCasland
James S. McCasland is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 21 papers that have together received 745 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (536 citations), Developmental Neuroscience (110 citations) and Cognitive Neuroscience (357 citations). James S. McCasland has collaborated with scholars based in United States. Frequent co-authors include Thomas A. Woolsey, Stacy L. Donovan, Kerry L. Bernardo, Lyndon S. Hibbard, Donna L. Maier, Dan Soppet, Karina F. Meiri, Shyamala Mani, Lino Tessarollo and Laura A. Mamounas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Comparative Neurology.
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.