Laura C. Daniell
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience
- Physiology
- Developmental Neuroscience top 10%
- Co-authors
- Steven W. LeslieR A HarrisEdward M. BarrR. Adron HarrisEric P. BrassTamara J. PhillipsNancy R. ZahniserDonald M. Burnett
- Topics
- Neuroscience and Neuropharmacology Research (17 papers)Ion channel regulation and function (5 papers)Lipid Membrane Structure and Behavior (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceAnesthesiology and Pain Medicine
- Partner nations
- United States
In The Last Decade
Laura C. Daniell
21 papers receiving 606 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 526
- Molecular Biology 353
- Cognitive Neuroscience 89
- Physiology 77
- Developmental Neuroscience 64
Countries citing papers authored by Laura C. Daniell
This map shows the geographic impact of Laura C. Daniell'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 Laura C. Daniell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura C. Daniell more than expected).
Fields of papers citing papers by Laura C. Daniell
This network shows the impact of papers produced by Laura C. Daniell. 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 Laura C. Daniell. The network helps show where Laura C. Daniell may publish in the future.
Co-authorship network of co-authors of Laura C. Daniell
This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Daniell. A scholar is included among the top collaborators of Laura C. Daniell 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 Laura C. Daniell. Laura C. Daniell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 63 | |
| 12 | 31 | |
| 13 | 44 | |
| 14 | 20 | |
| 15 | 51 | |
| 16 | 36 | |
| 17 | 68 | |
| 18 | 21 | |
| 19 | 38 | |
| 20 | 119 |
About Laura C. Daniell
Laura C. Daniell is a scholar working on Cellular and Molecular Neuroscience, Aging and Developmental Neuroscience, having authored 21 papers that have together received 630 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Ion channel regulation and function (5 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (526 citations), Developmental Neuroscience (64 citations) and Anesthesiology and Pain Medicine (44 citations). Laura C. Daniell has collaborated with scholars based in United States. Frequent co-authors include Steven W. Leslie, R A Harris, Edward M. Barr, R. Adron Harris, Eric P. Brass, Tamara J. Phillips, Nancy R. Zahniser, Donald M. Burnett, Andrea M. Allan and Chris Nixon. Their work appears in journals such as Analytical Biochemistry, Brain Research and Journal of Neurochemistry.
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.