Krista McFarland
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 5%
- Cognitive Neuroscience top 1%
- Social Psychology top 2%
- Pharmacology top 2%
- Co-authors
- Peter W. KalivasChristopher C. LapishAaron EttenbergRUSSELL W. LAKEDavid L. BakerXingchun TangShigenobu TodaHui Shen
- Topics
- Neurotransmitter Receptor Influence on Behavior (24 papers)Receptor Mechanisms and Signaling (15 papers)Neuroscience and Neuropharmacology Research (11 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Krista McFarland
33 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 4.0k
- Molecular Biology 2.1k
- Cognitive Neuroscience 1.4k
- Social Psychology 480
- Pharmacology 397
Countries citing papers authored by Krista McFarland
This map shows the geographic impact of Krista McFarland'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 Krista McFarland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krista McFarland more than expected).
Fields of papers citing papers by Krista McFarland
This network shows the impact of papers produced by Krista McFarland. 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 Krista McFarland. The network helps show where Krista McFarland may publish in the future.
Co-authorship network of co-authors of Krista McFarland
This figure shows the co-authorship network connecting the top 25 collaborators of Krista McFarland. A scholar is included among the top collaborators of Krista McFarland 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 Krista McFarland. Krista McFarland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 27 | |
| 3 | 6 | |
| 4 | 60 | |
| 5 | 127 | |
| 6 | 119 | |
| 7 | 332 | |
| 8 | 197 | |
| 9 | 421 | |
| 10 | Neuroadaptations in cystine-glutamate exchange underlie cocaine relapsebreakdown → | 594 |
| 11 | 8 | |
| 12 | 118 | |
| 13 | Prefrontal Glutamate Release into the Core of the Nucleus Accumbens Mediates Cocaine-Induced Reinstatement of Drug-Seeking Behaviorbreakdown → | 721 |
| 14 | 13 | |
| 15 | 48 | |
| 16 | 24 | |
| 17 | 12 | |
| 18 | 42 | |
| 19 | 123 | |
| 20 | 69 |
About Krista McFarland
Krista McFarland is a scholar working on Cellular and Molecular Neuroscience, General Decision Sciences and Cognitive Neuroscience, having authored 33 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (24 papers), Receptor Mechanisms and Signaling (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.0k citations), Biological Psychiatry (288 citations) and Behavioral Neuroscience (317 citations). Krista McFarland has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Peter W. Kalivas, Christopher C. Lapish, Aaron Ettenberg, RUSSELL W. LAKE, David L. Baker, Xingchun Tang, Shigenobu Toda, Hui Shen, Jeremy K. Seamans and Roberto I. Meléndez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.