Kathryn G. Todd
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 0.5%
- Neurology top 1%
- Materials Chemistry top 10%
- Co-authors
- Aaron Y. LaiStafford L. LightmanRoger F. ButterworthDavid Goldhaber‐GordonAshfaq ShuaibGlen B. BakerMatthew A. ChurchwardBarry J. Everitt
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (23 papers)Neuroscience and Neuropharmacology Research (21 papers)Stress Responses and Cortisol (12 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kathryn G. Todd
123 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 1.2k
- Neurology 1.0k
- Neurology 876
- Materials Chemistry 676
Countries citing papers authored by Kathryn G. Todd
This map shows the geographic impact of Kathryn G. Todd'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 Kathryn G. Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn G. Todd more than expected).
Fields of papers citing papers by Kathryn G. Todd
This network shows the impact of papers produced by Kathryn G. Todd. 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 Kathryn G. Todd. The network helps show where Kathryn G. Todd may publish in the future.
Co-authorship network of co-authors of Kathryn G. Todd
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn G. Todd. A scholar is included among the top collaborators of Kathryn G. Todd 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 Kathryn G. Todd. Kathryn G. Todd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 63 | |
| 7 | 115 | |
| 8 | 43 | |
| 9 | 18 | |
| 10 | 120 | |
| 11 | 19 | |
| 12 | 16 | |
| 13 | 96 | |
| 14 | Monoamine oxidase inhibitors, their structural analogues, and neuroprotection. | 4 |
| 15 | 21 | |
| 16 | 17 | |
| 17 | 17 | |
| 18 | 27 | |
| 19 | 10 | |
| 20 | 23 |
About Kathryn G. Todd
Kathryn G. Todd is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 125 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Neuroscience and Neuropharmacology Research (21 papers) and Stress Responses and Cortisol (12 papers). The work is most often cited by research in Neurology (1.0k citations), Behavioral Neuroscience (337 citations) and Biological Psychiatry (201 citations). Kathryn G. Todd has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Aaron Y. Lai, Stafford L. Lightman, Roger F. Butterworth, David Goldhaber‐Gordon, Ashfaq Shuaib, Glen B. Baker, Matthew A. Churchward, Barry J. Everitt, Joseph Sulpizio and Benjamin Huard. Their work appears in journals such as Nature, Physical Review Letters 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.