Anna K. Radke

1.9k total citations · 1 hit paper
37 papers, 1.3k citations indexed

About

Anna K. Radke is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Anna K. Radke has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 15 papers in Cognitive Neuroscience. Recurrent topics in Anna K. Radke's work include Neurotransmitter Receptor Influence on Behavior (30 papers), Receptor Mechanisms and Signaling (14 papers) and Memory and Neural Mechanisms (11 papers). Anna K. Radke is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (30 papers), Receptor Mechanisms and Signaling (14 papers) and Memory and Neural Mechanisms (11 papers). Anna K. Radke collaborates with scholars based in United States, Japan and Chile. Anna K. Radke's co-authors include Elizabeth A. Sneddon, Andrew Holmes, Alicia Izquierdo, Peter H. Rudebeck, Jonathan L. Brigman, Jonathan C. Gewirtz, Robert D. White, Andrew Holmes, Marilyn E. Carroll and F. Woodward Hopf and has published in prestigious journals such as Journal of Neuroscience, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Anna K. Radke

36 papers receiving 1.3k citations

Hit Papers

The neural basis of reversal learning: An updated perspec... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna K. Radke United States 18 749 459 294 239 196 37 1.3k
Lisa A. Briand United States 26 939 1.3× 551 1.2× 511 1.7× 321 1.3× 260 1.3× 46 1.8k
Susan H. Nader United States 16 1000 1.3× 376 0.8× 458 1.6× 213 0.9× 295 1.5× 35 1.6k
Erin B. Larson United States 20 1.0k 1.4× 300 0.7× 490 1.7× 288 1.2× 318 1.6× 24 1.5k
Lindsay M. Yager United States 15 1.0k 1.3× 606 1.3× 414 1.4× 255 1.1× 311 1.6× 16 1.4k
Debora A. Rothmond Australia 20 590 0.8× 393 0.9× 454 1.5× 254 1.1× 195 1.0× 30 1.6k
Nathalie Thiriet France 22 1.1k 1.5× 347 0.8× 425 1.4× 256 1.1× 257 1.3× 46 1.7k
Hadley C. Bergstrom United States 22 745 1.0× 520 1.1× 372 1.3× 321 1.3× 191 1.0× 41 1.3k
Antonio Alcaro Italy 14 703 0.9× 479 1.0× 266 0.9× 161 0.7× 281 1.4× 21 1.4k
Kimberly L. Simpson United States 23 652 0.9× 540 1.2× 457 1.6× 272 1.1× 398 2.0× 34 2.0k
Sébastien Parnaudeau France 14 751 1.0× 783 1.7× 330 1.1× 204 0.9× 185 0.9× 16 1.5k

Countries citing papers authored by Anna K. Radke

Since Specialization
Citations

This map shows the geographic impact of Anna K. Radke'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 Anna K. Radke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna K. Radke more than expected).

Fields of papers citing papers by Anna K. Radke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna K. Radke. 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 Anna K. Radke. The network helps show where Anna K. Radke may publish in the future.

Co-authorship network of co-authors of Anna K. Radke

This figure shows the co-authorship network connecting the top 25 collaborators of Anna K. Radke. A scholar is included among the top collaborators of Anna K. Radke 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 Anna K. Radke. Anna K. Radke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Radke, Anna K., et al.. (2024). Cholinergic mu-opioid receptor deletion alters reward preference and aversion-resistance. Neuropharmacology. 255. 110019–110019. 2 indexed citations
3.
Sneddon, Elizabeth A., et al.. (2023). Sex chromosome and gonadal hormone contributions to binge-like and aversion-resistant ethanol drinking behaviors in Four Core Genotypes mice. Frontiers in Psychiatry. 14. 1098387–1098387. 11 indexed citations
4.
Sneddon, Elizabeth A., et al.. (2023). Removal of the ovaries suppresses ethanol drinking and promotes aversion-resistance in C57BL/6J female mice. Psychopharmacology. 240(12). 2607–2616. 4 indexed citations
5.
Sneddon, Elizabeth A., et al.. (2023). Greater resistance to footshock punishment in female C57BL / 6J mice responding for ethanol. Alcohol Clinical and Experimental Research. 47(4). 678–686. 14 indexed citations
6.
Radke, Anna K., et al.. (2023). Opioid withdrawal: role in addiction and neural mechanisms. Psychopharmacology. 240(7). 1417–1433. 13 indexed citations
7.
8.
Sneddon, Elizabeth A., et al.. (2021). Orbitofrontal cortex subregion inhibition during binge-like and aversion-resistant alcohol drinking. Alcohol. 99. 1–8. 10 indexed citations
9.
Radke, Anna K., Patrick T. Piantadosi, George R. Uhl, F. Scott Hall, & Andrew Holmes. (2020). Improved visual discrimination learning in mice with partial 5-HT2B gene deletion. Neuroscience Letters. 738. 135378–135378. 7 indexed citations
10.
Radke, Anna K., et al.. (2020). Aversion-resistant fentanyl self-administration in mice. Psychopharmacology. 238(3). 699–710. 27 indexed citations
11.
Sneddon, Elizabeth A., et al.. (2020). Selective enhancement of fear learning and resistance to extinction in a mouse model of acute early life trauma. Learning & Memory. 28(1). 12–16. 7 indexed citations
12.
Radke, Anna K., Larry S. Zweifel, & Andrew Holmes. (2019). NMDA receptor deletion on dopamine neurons disrupts visual discrimination and reversal learning. Neuroscience Letters. 699. 109–114. 9 indexed citations
13.
Jury, Nicholas J., Anna K. Radke, Dipanwita Pati, et al.. (2018). NMDA receptor GluN2A subunit deletion protects against dependence-like ethanol drinking. Behavioural Brain Research. 353. 124–128. 7 indexed citations
14.
Radke, Anna K., Elías Utreras, Ramón Sotomayor‐Zárate, et al.. (2018). Behavioral and synaptic alterations relevant to obsessive-compulsive disorder in mice with increased EAAT3 expression. Neuropsychopharmacology. 44(6). 1163–1173. 35 indexed citations
15.
Izquierdo, Alicia, Jonathan L. Brigman, Anna K. Radke, Peter H. Rudebeck, & Andrew Holmes. (2016). The neural basis of reversal learning: An updated perspective. Neuroscience. 345. 12–26. 428 indexed citations breakdown →
16.
Holtz, Nathan A., Anna K. Radke, Natalie E. Zlebnik, Andrew C. Harris, & Marilyn E. Carroll. (2015). Intracranial self-stimulation reward thresholds during morphine withdrawal in rats bred for high (HiS) and low (LoS) saccharin intake. Brain Research. 1602. 119–126. 19 indexed citations
17.
Radke, Anna K., Kazu Nakazawa, & Andrew Holmes. (2015). Cortical GluN2B deletion attenuates punished suppression of food reward-seeking. Psychopharmacology. 232(20). 3753–3761. 24 indexed citations
18.
Radke, Anna K., Natalie E. Zlebnik, Nathan A. Holtz, & Marilyn E. Carroll. (2015). Cocaine-induced reward enhancement measured with intracranial self-stimulation in rats bred for low versus high saccharin intake. Behavioural Pharmacology. 27(2 and 3 - Special Issue). 133–136. 7 indexed citations
19.
Radke, Anna K. & Jonathan C. Gewirtz. (2012). Increased Dopamine Receptor Activity in the Nucleus Accumbens Shell Ameliorates Anxiety during Drug Withdrawal. Neuropsychopharmacology. 37(11). 2405–2415. 48 indexed citations
20.
Engelmann, Jeffrey M., Anna K. Radke, & Jonathan C. Gewirtz. (2009). Potentiated startle as a measure of the negative affective consequences of repeated exposure to nicotine in rats. Psychopharmacology. 207(1). 13–25. 16 indexed citations

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.

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