Stephanie J. Cragg
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Neurology top 0.5%
- Cognitive Neuroscience top 1%
- Physiology top 5%
- Co-authors
- Margaret E. RiceSarah ThrelfellRichard ExleySusan A. GreenfieldRichard Wade‐MartinsNicola J. PlattKatherine R. BrimblecombeKatie A. Jennings
- Topics
- Neuroscience and Neuropharmacology Research (37 papers)Neurotransmitter Receptor Influence on Behavior (37 papers)Receptor Mechanisms and Signaling (28 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Stephanie J. Cragg
75 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cellular and Molecular Neuroscience 5.0k
- Molecular Biology 3.1k
- Neurology 1.9k
- Cognitive Neuroscience 1.7k
- Physiology 563
Countries citing papers authored by Stephanie J. Cragg
This map shows the geographic impact of Stephanie J. Cragg'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 Stephanie J. Cragg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie J. Cragg more than expected).
Fields of papers citing papers by Stephanie J. Cragg
This network shows the impact of papers produced by Stephanie J. Cragg. 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 Stephanie J. Cragg. The network helps show where Stephanie J. Cragg may publish in the future.
Co-authorship network of co-authors of Stephanie J. Cragg
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie J. Cragg. A scholar is included among the top collaborators of Stephanie J. Cragg 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 Stephanie J. Cragg. Stephanie J. Cragg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 57 | |
| 8 | 56 | |
| 9 | 12 | |
| 10 | 23 | |
| 11 | 203 | |
| 12 | 33 | |
| 13 | 186 | |
| 14 | Fast scan cyclic voltammetry evidence that 5-HT transporter overexpression impairs the function of 5-HT nerve terminals | 1 |
| 15 | 203 | |
| 16 | 6 | |
| 17 | 281 | |
| 18 | Dopamine release and uptake kinetics in the putamen of non-human primate striatum in vitro: Species and region differences | 4 |
| 19 | 17 | |
| 20 | 12 |
About Stephanie J. Cragg
Stephanie J. Cragg is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 79 papers that have together received 7.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Neurotransmitter Receptor Influence on Behavior (37 papers) and Receptor Mechanisms and Signaling (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.0k citations), Neurology (1.9k citations) and Cognitive Neuroscience (1.7k citations). Stephanie J. Cragg has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Margaret E. Rice, Sarah Threlfell, Richard Exley, Susan A. Greenfield, Richard Wade‐Martins, Nicola J. Platt, Katherine R. Brimblecombe, Katie A. Jennings, Karl Deisseroth and Tatjana Lalic. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.