Karen D. Parfitt
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cell Biology top 5%
- Physiology
- Neurology top 5%
- Co-authors
- Thomas L. SchwarzAaron DiAntonioDaniel V. MadisonPaula C. BickfordBarry J. HofferJohn G. FlanaganApril DuckworthDavid Van Vactor
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Alzheimer's disease research and treatments (5 papers)Neurobiology and Insect Physiology Research (5 papers)
- Partner nations
- United StatesNew ZealandRussia
In The Last Decade
Karen D. Parfitt
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 624
- Molecular Biology 618
- Cell Biology 353
- Physiology 171
- Neurology 159
Countries citing papers authored by Karen D. Parfitt
This map shows the geographic impact of Karen D. Parfitt'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 Karen D. Parfitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen D. Parfitt more than expected).
Fields of papers citing papers by Karen D. Parfitt
This network shows the impact of papers produced by Karen D. Parfitt. 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 Karen D. Parfitt. The network helps show where Karen D. Parfitt may publish in the future.
Co-authorship network of co-authors of Karen D. Parfitt
This figure shows the co-authorship network connecting the top 25 collaborators of Karen D. Parfitt. A scholar is included among the top collaborators of Karen D. Parfitt 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 Karen D. Parfitt. Karen D. Parfitt 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 | 52 | |
| 3 | 33 | |
| 4 | 2 | |
| 5 | 45 | |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 199 | |
| 9 | 12 | |
| 10 | Designing an Effective, Affordable Laboratory Course in Neurophysiology Crawdad: A CD-ROM Lab Manual for Neurophysiology. | 1 |
| 11 | 16 | |
| 12 | 222 | |
| 13 | 33 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | 23 | |
| 17 | 83 | |
| 18 | 38 | |
| 19 | 30 | |
| 20 | 11 |
About Karen D. Parfitt
Karen D. Parfitt is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Alzheimer's disease research and treatments (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (624 citations), Cell Biology (353 citations) and Neurology (159 citations). Karen D. Parfitt has collaborated with scholars based in United States, New Zealand and Russia. Frequent co-authors include Thomas L. Schwarz, Aaron DiAntonio, Daniel V. Madison, Paula C. Bickford, Barry J. Hoffer, John G. Flanagan, April Duckworth, David Van Vactor, Oana Marcu and Alan P. Tenney. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.
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.