Jacqueline N. Crawley
- Cellular and Molecular Neuroscience top 0.01%
- Molecular Biology top 0.1%
- Cognitive Neuroscience top 0.05%
- Genetics top 0.05%
- Social Psychology top 0.05%
- Co-authors
- Mu YangJill L. SilvermanFrederick K. GoodwinMaría Luisa ScattoniRebecca L. CorwinRichard PaylorCatherine LordSheryl S. Moy
- Topics
- Neuropeptides and Animal Physiology (112 papers)Receptor Mechanisms and Signaling (99 papers)Autism Spectrum Disorder Research (71 papers)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Jacqueline N. Crawley
327 papers receiving 35.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cellular and Molecular Neuroscience 15.2k
- Molecular Biology 14.5k
- Cognitive Neuroscience 10.7k
- Genetics 8.5k
- Social Psychology 7.0k
Countries citing papers authored by Jacqueline N. Crawley
This map shows the geographic impact of Jacqueline N. Crawley'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 Jacqueline N. Crawley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline N. Crawley more than expected).
Fields of papers citing papers by Jacqueline N. Crawley
This network shows the impact of papers produced by Jacqueline N. Crawley. 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 Jacqueline N. Crawley. The network helps show where Jacqueline N. Crawley may publish in the future.
Co-authorship network of co-authors of Jacqueline N. Crawley
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline N. Crawley. A scholar is included among the top collaborators of Jacqueline N. Crawley 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 Jacqueline N. Crawley. Jacqueline N. Crawley 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 | 33 | |
| 3 | 19 | |
| 4 | 233 | |
| 5 | 18 | |
| 6 | 246 | |
| 7 | 77 | |
| 8 | 38 | |
| 9 | 158 | |
| 10 | 196 | |
| 11 | 114 | |
| 12 | Short protocols in neuroscience : systems and behavioral methods | 16 |
| 13 | 183 | |
| 14 | 98 | |
| 15 | Galanin : basic research discoveries and therapeutic implications | 43 |
| 16 | 33 | |
| 17 | 41 | |
| 18 | Biological actions of cholecystokininbreakdown → | 582 |
| 19 | 2 | |
| 20 | 4 |
About Jacqueline N. Crawley
Jacqueline N. Crawley is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 329 papers that have together received 36.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (112 papers), Receptor Mechanisms and Signaling (99 papers) and Autism Spectrum Disorder Research (71 papers). The work is most often cited by research in Behavioral Neuroscience (4.1k citations), Cellular and Molecular Neuroscience (15.2k citations) and Biological Psychiatry (1.5k citations). Jacqueline N. Crawley has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Mu Yang, Jill L. Silverman, Frederick K. Goodwin, María Luisa Scattoni, Rebecca L. Corwin, Richard Paylor, Catherine Lord, Sheryl S. Moy, Laura Ricceri and Steven M. Paul. Their work appears in journals such as Nature, Science and Cell.
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.