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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Upside to Reward Sensitivity: The Hippocampus Supports Enhanced Reinforcement Learning in Adolescence
Juliet Y. Davidow, Karin Foerde, Adriana Galván, et al.
Neuron (2016) Vol. 92, Iss. 1, pp. 93-99
Open Access | Times Cited: 257

Showing 1-25 of 257 citing articles:

Importance of investing in adolescence from a developmental science perspective
Ronald E. Dahl, Nicholas B. Allen, Linda Wilbrecht, et al.
Nature (2018) Vol. 554, Iss. 7693, pp. 441-450
Open Access | Times Cited: 887
Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context
Daniel Römer, Valerie F. Reyna, Theodore D. Satterthwaite
Developmental Cognitive Neuroscience (2017) Vol. 27, pp. 19-34
Open Access | Times Cited: 341
Reinforcement learning across development: What insights can we draw from a decade of research?
Kate Nussenbaum, Catherine A. Hartley
Developmental Cognitive Neuroscience (2019) Vol. 40, pp. 100733-100733
Open Access | Times Cited: 194
The interpretation of computational model parameters depends on the context
Maria K. Eckstein, Sarah L. Master, Liyu Xia, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 72
Goal-directed learning in adolescence: neurocognitive development and contextual influences
Linda Wilbrecht, Juliet Y. Davidow
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 3, pp. 176-194
Closed Access | Times Cited: 16
Advances in the computational understanding of mental illness
Quentin J. M. Huys, Michael Browning, Martin P. Paulus, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 3-19
Open Access | Times Cited: 136
The Need for Sleep in the Adolescent Brain
Adriana Gálvan
Trends in Cognitive Sciences (2019) Vol. 24, Iss. 1, pp. 79-89
Closed Access | Times Cited: 113
Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning
Raphael T. Gerraty, Juliet Y. Davidow, Karin Foerde, et al.
Journal of Neuroscience (2018) Vol. 38, Iss. 10, pp. 2442-2453
Open Access | Times Cited: 104
Adolescent resilience to addiction: a social plasticity hypothesis
Janna Cousijn, Maartje Luijten, Sarah W. Feldstein Ewing
The Lancet Child & Adolescent Health (2017) Vol. 2, Iss. 1, pp. 69-78
Open Access | Times Cited: 97
A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐ and puberty‐related changes
Anna C. K. van Duijvenvoorde, Bianca Westhoff, Frank de Vos, et al.
Human Brain Mapping (2019) Vol. 40, Iss. 13, pp. 3769-3783
Open Access | Times Cited: 97
Promoting Early Child Development With Interventions in Health and Nutrition: A Systematic Review
Tyler Vaivada, Michelle F Gaffey, Zulfiqar A Bhutta
PEDIATRICS (2017) Vol. 140, Iss. 2
Open Access | Times Cited: 94
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Maria K. Eckstein, Linda Wilbrecht, Anne Collins
Current Opinion in Behavioral Sciences (2021) Vol. 41, pp. 128-137
Open Access | Times Cited: 84
States of curiosity and interest enhance memory differently in adolescents and in children
Yana Fandakova, Matthias J. Gruber
Developmental Science (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 82
Disentangling the systems contributing to changes in learning during adolescence
Sarah L. Master, Maria K. Eckstein, Neta Gotlieb, et al.
Developmental Cognitive Neuroscience (2019) Vol. 41, pp. 100732-100732
Open Access | Times Cited: 81
Signed and unsigned reward prediction errors dynamically enhance learning and memory
Nina Rouhani, Yael Niv
eLife (2021) Vol. 10
Open Access | Times Cited: 80
A predictive account of how novelty influences declarative memory
Jörn Alexander Quent, Richard N. Henson, Andrea Greve
Neurobiology of Learning and Memory (2021) Vol. 179, pp. 107382-107382
Open Access | Times Cited: 67
Dopamine modulations of reward‐driven music memory consolidation
Laura Ferreri, Ernest Mas‐Herrero, Gemma Cardona, et al.
Annals of the New York Academy of Sciences (2021) Vol. 1502, Iss. 1, pp. 85-98
Closed Access | Times Cited: 59
Adolescent decision making: A decade in review
Grace Icenogle, Elizabeth Cauffman
Journal of Research on Adolescence (2021) Vol. 31, Iss. 4, pp. 1006-1022
Closed Access | Times Cited: 57
Valence biases in reinforcement learning shift across adolescence and modulate subsequent memory
Gail Rosenbaum, Hannah L. Grassie, Catherine A. Hartley
eLife (2022) Vol. 11
Open Access | Times Cited: 52
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal
Maria K. Eckstein, Sarah L. Master, Ronald E. Dahl, et al.
Developmental Cognitive Neuroscience (2022) Vol. 55, pp. 101106-101106
Open Access | Times Cited: 52
A neural network model of when to retrieve and encode episodic memories
Qihong Lu, Uri Hasson, Kenneth A. Norman
eLife (2022) Vol. 11
Open Access | Times Cited: 41
Multiple routes to enhanced memory for emotionally relevant events
Nina Rouhani, Yael Niv, Michael J. Frank, et al.
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 9, pp. 867-882
Open Access | Times Cited: 24
Striatal and Behavioral Responses to Reward Vary by Socioeconomic Status in Adolescents
Alexandra Decker, Steven L. Meisler, Nicholas A. Hubbard, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 11, pp. e1633232023-e1633232023
Open Access | Times Cited: 8
Stochastic decisions support optimal foraging of volatile environments, and are disrupted by anxiety
Alex Lloyd, Ryan McKay, Nicholas Furl
Cognitive Affective & Behavioral Neuroscience (2025)
Open Access | Times Cited: 1
INTERPRETATION OF INDIVIDUAL DIFFERENCES IN COMPUTATIONAL NEUROSCIENCE USING A LATENT INPUT APPROACH
Jessica V. Schaaf, Steven Miletić, Anna C. K. van Duijvenvoorde, et al.
Developmental Cognitive Neuroscience (2025), pp. 101512-101512
Open Access | Times Cited: 1
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