Angela Langdon

731 total citations
21 papers, 409 citations indexed

About

Angela Langdon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Angela Langdon has authored 21 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Angela Langdon's work include Neural dynamics and brain function (11 papers), Neural and Behavioral Psychology Studies (9 papers) and Functional Brain Connectivity Studies (6 papers). Angela Langdon is often cited by papers focused on Neural dynamics and brain function (11 papers), Neural and Behavioral Psychology Studies (9 papers) and Functional Brain Connectivity Studies (6 papers). Angela Langdon collaborates with scholars based in United States, Australia and United Kingdom. Angela Langdon's co-authors include Yael Niv, Geoffrey Schoenbaum, Melissa J. Sharpe, Yuji K. Takahashi, Michael Breakspear, Tjeerd W. Boonstra, Daniel Bennett, Hiroyuki Nakahara, Mingyu Song and Ryota Kanai and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Angela Langdon

19 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Langdon United States 11 296 150 86 45 32 21 409
Kenji Morita Japan 14 467 1.6× 360 2.4× 93 1.1× 31 0.7× 14 0.4× 49 629
Camilo Libedinsky Singapore 13 526 1.8× 148 1.0× 49 0.6× 123 2.7× 33 1.0× 40 698
Hiroshi Abe Japan 11 544 1.8× 99 0.7× 49 0.6× 39 0.9× 25 0.8× 31 665
Jung Hoon Sul South Korea 5 544 1.8× 309 2.1× 87 1.0× 22 0.5× 14 0.4× 5 623
Romain D. Cazé United Kingdom 7 243 0.8× 158 1.1× 32 0.4× 21 0.5× 38 1.2× 10 316
John G. Mikhael United States 7 285 1.0× 163 1.1× 98 1.1× 36 0.8× 22 0.7× 8 394
Miriam L. R. Meister United States 7 606 2.0× 214 1.4× 31 0.4× 28 0.6× 44 1.4× 9 646
Francesco Mannella Italy 14 312 1.1× 135 0.9× 30 0.3× 52 1.2× 54 1.7× 29 507
Ji Won Bang United States 12 500 1.7× 92 0.6× 35 0.4× 149 3.3× 11 0.3× 24 662
Masashi Koizumi Japan 8 458 1.5× 135 0.9× 39 0.5× 29 0.6× 5 0.2× 11 526

Countries citing papers authored by Angela Langdon

Since Specialization
Citations

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

Fields of papers citing papers by Angela Langdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela Langdon. 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 Angela Langdon. The network helps show where Angela Langdon may publish in the future.

Co-authorship network of co-authors of Angela Langdon

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Langdon. A scholar is included among the top collaborators of Angela Langdon 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 Angela Langdon. Angela Langdon 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
1.
Cheng, Yifeng, et al.. (2025). Chronic ethanol exposure produces sex-dependent impairments in value computations in the striatum. Science Advances. 11(14). eadt0200–eadt0200. 1 indexed citations
2.
Zhang, Zhewei, Kauê Machado Costa, Angela Langdon, & Geoffrey Schoenbaum. (2025). The devilish details affecting TDRL models in dopamine research. Trends in Cognitive Sciences. 29(5). 434–447. 1 indexed citations
3.
Zhang, Zhewei, et al.. (2024). Expectancy-related changes in firing of dopamine neurons depend on hippocampus. Nature Communications. 15(1). 8911–8911. 1 indexed citations
4.
Langdon, Angela, et al.. (2024). The utility of a latent-cause framework for understanding addiction phenomena. SHILAP Revista de lepidopterología. 10. 100143–100143. 2 indexed citations
5.
Takahashi, Yuji K., et al.. (2023). Dopaminergic prediction errors in the ventral tegmental area reflect a multithreaded predictive model. Nature Neuroscience. 26(5). 830–839. 22 indexed citations
6.
Song, Mingyu, Yuji K. Takahashi, Amanda C. Burton, et al.. (2022). Minimal cross-trial generalization in learning the representation of an odor-guided choice task. PLoS Computational Biology. 18(3). e1009897–e1009897. 2 indexed citations
7.
Sanabria, Federico, Angela Langdon, & Alicia Izquierdo. (2022). Timing, neural timescales, and temporal cognition.. Behavioral Neuroscience. 136(5). 347–348.
8.
Langdon, Angela, Matthew Botvinick, Hiroyuki Nakahara, et al.. (2021). Meta-learning, social cognition and consciousness in brains and machines. Neural Networks. 145. 80–89. 28 indexed citations
9.
Bennett, Daniel, Yael Niv, & Angela Langdon. (2021). Value-free reinforcement learning: policy optimization as a minimal model of operant behavior. Current Opinion in Behavioral Sciences. 41. 114–121. 25 indexed citations
10.
Langdon, Angela & Nathaniel D. Daw. (2020). Beyond the Average View of Dopamine. Trends in Cognitive Sciences. 24(7). 499–501. 6 indexed citations
11.
Bell, Tiffany, Michael Lindner, Angela Langdon, Paul G. Mullins, & Anastasia Christakou. (2019). Regional Striatal Cholinergic Involvement in Human Behavioral Flexibility. Journal of Neuroscience. 39(29). 5740–5749. 14 indexed citations
12.
Langdon, Angela, Mingyu Song, & Yael Niv. (2019). Uncovering the ‘state’: Tracing the hidden state representations that structure learning and decision-making. Behavioural Processes. 167. 103891–103891. 13 indexed citations
13.
Langdon, Angela, et al.. (2019). Relative insensitivity to time-out punishments induced by win-paired cues in a rat gambling task. Psychopharmacology. 236(8). 2543–2556. 17 indexed citations
14.
Langdon, Angela, Melissa J. Sharpe, Geoffrey Schoenbaum, & Yael Niv. (2017). Model-based predictions for dopamine. Current Opinion in Neurobiology. 49. 1–7. 98 indexed citations
15.
Niv, Yael & Angela Langdon. (2016). Reinforcement learning with Marr. Current Opinion in Behavioral Sciences. 11. 67–73. 33 indexed citations
16.
Takahashi, Yuji K., Angela Langdon, Yael Niv, & Geoffrey Schoenbaum. (2016). Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum. Neuron. 91(1). 182–193. 73 indexed citations
17.
Niv, Yael, Angela Langdon, & Angela Radulescu. (2014). A free-choice premium in the basal ganglia. Trends in Cognitive Sciences. 19(1). 4–5. 5 indexed citations
18.
Harris, Justin A., et al.. (2013). The influence of prior experience and expected timing on vibrotactile discrimination. Frontiers in Neuroscience. 7. 255–255. 13 indexed citations
19.
Langdon, Angela, Michael Breakspear, & Stephen Coombes. (2012). Phase-locked cluster oscillations in periodically forced integrate-and-fire-or-burst neuronal populations. Physical Review E. 86(6). 61903–61903. 7 indexed citations
20.
Langdon, Angela, Tjeerd W. Boonstra, & Michael Breakspear. (2010). Multi-frequency phase locking in human somatosensory cortex. Progress in Biophysics and Molecular Biology. 105(1-2). 58–66. 46 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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