Michelle M. McCarthy
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Anesthesiology and Pain Medicine top 5%
- Molecular Biology
- Co-authors
- Nancy KopellEmery N. BrownXue HanXiaosi GuEd BoydenCaroline Moore-KochlacsMiles A. WhittingtonShane Lee
- Topics
- Neural dynamics and brain function (15 papers)Neuroscience and Neuropharmacology Research (14 papers)Neuroscience and Neural Engineering (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Michelle M. McCarthy
23 papers receiving 875 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 532
- Cellular and Molecular Neuroscience 527
- Neurology 295
- Anesthesiology and Pain Medicine 73
- Molecular Biology 70
Countries citing papers authored by Michelle M. McCarthy
This map shows the geographic impact of Michelle M. McCarthy'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 Michelle M. McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle M. McCarthy more than expected).
Fields of papers citing papers by Michelle M. McCarthy
This network shows the impact of papers produced by Michelle M. McCarthy. 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 Michelle M. McCarthy. The network helps show where Michelle M. McCarthy may publish in the future.
Co-authorship network of co-authors of Michelle M. McCarthy
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. McCarthy. A scholar is included among the top collaborators of Michelle M. McCarthy 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 Michelle M. McCarthy. Michelle M. McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 28 | |
| 7 | 19 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | 74 | |
| 13 | 41 | |
| 14 | 22 | |
| 15 | 8 | |
| 16 | 224 | |
| 17 | 122 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 6 |
About Michelle M. McCarthy
Michelle M. McCarthy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biological Psychiatry, having authored 23 papers that have together received 893 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (527 citations), Cognitive Neuroscience (532 citations) and Neurology (295 citations). Michelle M. McCarthy has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nancy Kopell, Emery N. Brown, Xue Han, Xiaosi Gu, Ed Boyden, Caroline Moore-Kochlacs, Miles A. Whittington, Shane Lee, Christoph Börgers and Jung H. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.