Deborah M. Kurrasch
- Molecular Biology
- Health, Toxicology and Mutagenesis top 2%
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Co-authors
- Hamid R. HabibiKingsley IbhazehieboDinushan NesanJessica M. RosinCarol SchuurmansHolly A. IngrahamClement C. CheungJie Huang
- Topics
- Neurogenesis and neuroplasticity mechanisms (16 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Effects and risks of endocrine disrupting chemicals (9 papers)
- Cited by
- Developmental NeuroscienceHealth, Toxicology and MutagenesisEndocrine and Autonomic Systems
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Deborah M. Kurrasch
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 678
- Health, Toxicology and Mutagenesis 524
- Developmental Neuroscience 310
- Cellular and Molecular Neuroscience 242
- Neurology 233
Countries citing papers authored by Deborah M. Kurrasch
This map shows the geographic impact of Deborah M. Kurrasch'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 Deborah M. Kurrasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah M. Kurrasch more than expected).
Fields of papers citing papers by Deborah M. Kurrasch
This network shows the impact of papers produced by Deborah M. Kurrasch. 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 Deborah M. Kurrasch. The network helps show where Deborah M. Kurrasch may publish in the future.
Co-authorship network of co-authors of Deborah M. Kurrasch
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah M. Kurrasch. A scholar is included among the top collaborators of Deborah M. Kurrasch 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 Deborah M. Kurrasch. Deborah M. Kurrasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 37 | |
| 5 | 47 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 21 | |
| 13 | 17 | |
| 14 | 19 | |
| 15 | 79 | |
| 16 | 16 | |
| 17 | 86 | |
| 18 | 49 | |
| 19 | 36 | |
| 20 | 78 |
About Deborah M. Kurrasch
Deborah M. Kurrasch is a scholar working on Developmental Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). The work is most often cited by research in Developmental Neuroscience (310 citations), Health, Toxicology and Mutagenesis (524 citations) and Endocrine and Autonomic Systems (203 citations). Deborah M. Kurrasch has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hamid R. Habibi, Kingsley Ibhazehiebo, Dinushan Nesan, Jessica M. Rosin, Carol Schuurmans, Holly A. Ingraham, Clement C. Cheung, Jie Huang, Thomas M. Wilkie and Siddharth R. Vora. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.