Gabrielle Weidemann

1.4k total citations
58 papers, 1.0k citations indexed

About

Gabrielle Weidemann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gabrielle Weidemann has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gabrielle Weidemann's work include Memory and Neural Mechanisms (19 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). Gabrielle Weidemann is often cited by papers focused on Memory and Neural Mechanisms (19 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). Gabrielle Weidemann collaborates with scholars based in Australia, United Kingdom and United States. Gabrielle Weidemann's co-authors include Peter F. Lovibond, Gavan P. McNally, E. James Kehoe, Chris J. Mitchell, Charles R. Neal, Mohamed Kabbaj, Delia M. Vázquez, Lee Hogarth, Bronwyn Everett and Elizabeth Manias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Gabrielle Weidemann

54 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabrielle Weidemann Australia 18 593 292 204 198 157 58 1.0k
Xi Zhu United States 16 479 0.8× 83 0.3× 154 0.8× 308 1.6× 56 0.4× 36 1.0k
Andrea Levinson Canada 20 526 0.9× 210 0.7× 66 0.3× 102 0.5× 126 0.8× 38 1.6k
Elizabeth V. Goldfarb United States 14 271 0.5× 56 0.2× 203 1.0× 119 0.6× 99 0.6× 36 625
Mitzy Kennis Netherlands 16 471 0.8× 62 0.2× 280 1.4× 394 2.0× 120 0.8× 27 1.3k
Daniel Antonius United States 20 318 0.5× 70 0.2× 31 0.2× 352 1.8× 160 1.0× 58 1.3k
Renée M. Visser Netherlands 13 644 1.1× 98 0.3× 218 1.1× 256 1.3× 143 0.9× 29 1000
Cassie Overstreet United States 21 495 0.8× 119 0.4× 170 0.8× 403 2.0× 140 0.9× 46 1.4k
Leah Fostick Israel 23 609 1.0× 51 0.2× 67 0.3× 357 1.8× 100 0.6× 80 1.4k
Martin Klasen Germany 20 583 1.0× 65 0.2× 29 0.1× 341 1.7× 199 1.3× 47 995
Sunny J. Dutra United States 16 323 0.5× 132 0.5× 193 0.9× 282 1.4× 75 0.5× 26 891

Countries citing papers authored by Gabrielle Weidemann

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Weidemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Weidemann

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Weidemann. A scholar is included among the top collaborators of Gabrielle Weidemann 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 Gabrielle Weidemann. Gabrielle Weidemann 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.
Weidemann, Gabrielle, et al.. (2025). Age, Anger, and Gratitude: An Online Emotion Induction to Assess Advice-Taking in Older Age. Research on Aging. 48(2). 158–168.
2.
3.
Mahlberg, Justin & Gabrielle Weidemann. (2024). Category-specific general Pavlovian-instrumental transfer. Appetite. 202. 107640–107640.
4.
Weidemann, Gabrielle, et al.. (2024). Cognitive and Emotional Factors Influencing the Incorporation of Advice Into Decision Making Across the Adult Lifespan. The Journals of Gerontology Series B. 79(7). 1 indexed citations
5.
Weidemann, Gabrielle, et al.. (2024). Translational research in punishment learning.. Behavioral Neuroscience. 138(3). 143–151. 3 indexed citations
6.
Alashwal, Hany, et al.. (2023). A neural network model of mathematics anxiety: The role of attention. PLoS ONE. 18(12). e0295264–e0295264.
7.
Milne, Andrew J., et al.. (2021). Evaluative conditioning of responses to unfamiliar chords by exposure to valenced images. Psychology of Music. 50(2). 579–595. 1 indexed citations
8.
Jean-Richard-dit-Bressel, Philip, et al.. (2021). Punishment insensitivity in humans is due to failures in instrumental contingency learning. eLife. 10. 21 indexed citations
9.
Milne, Andrew J., et al.. (2020). Making the Unfamiliar Familiar: The Effect of Exposure on Ratings of Unfamiliar Musical Chords. Musicae Scientiae. 26(2). 339–363. 7 indexed citations
10.
Milne, Andrew J., et al.. (2019). Perception of affect in unfamiliar musical chords. PLoS ONE. 14(6). e0218570–e0218570. 30 indexed citations
11.
Mahlberg, Justin, Tina Seabrooke, Gabrielle Weidemann, et al.. (2019). Human appetitive Pavlovian-to-instrumental transfer: a goal-directed account. Psychological Research. 85(2). 449–463. 31 indexed citations
12.
13.
Johnson, Maree, Gabrielle Weidemann, Rebecca Adams, et al.. (2017). Predictability of Interruptions During Medication Administration With Related Behavioral Management Strategies. Journal of Nursing Care Quality. 33(2). E1–E9. 12 indexed citations
14.
Richmond, Jenny L., et al.. (2017). I like it by mere association: Conditioning preferences in infants. Journal of Experimental Child Psychology. 161. 19–31. 8 indexed citations
15.
Weidemann, Gabrielle & Peter F. Lovibond. (2016). The role of US recency in the Perruchet effect in eyeblink conditioning. Biological Psychology. 119. 1–10. 6 indexed citations
16.
Stevens, Catherine, et al.. (2016). Implicit learning of between-group intervals in auditory temporal structures. Attention Perception & Psychophysics. 78(6). 1728–1743. 6 indexed citations
17.
Weidemann, Gabrielle, et al.. (2013). The role of contingency awareness in single-cue human eyeblink conditioning. Learning & Memory. 20(7). 363–366. 17 indexed citations
18.
McCarrey, Anna, Julie D. Henry, William von Hippel, et al.. (2012). Age Differences in Neural Activity during Slot Machine Gambling: An fMRI Study. PLoS ONE. 7(11). e49787–e49787. 14 indexed citations
19.
Weidemann, Gabrielle, Jason M. Tangen, Peter F. Lovibond, & Chris J. Mitchell. (2009). Is Perruchet’s dissociation between eyeblink conditioned responding and outcome expectancy evidence for two learning systems?. Journal of Experimental Psychology Animal Behavior Processes. 35(2). 169–176. 23 indexed citations
20.
McNally, Gavan P., et al.. (2004). Blocking, Unblocking, and Overexpectation of Fear: A Role for Opioid Receptors in the Regulation of Pavlovian Association Formation.. Behavioral Neuroscience. 118(1). 111–120. 70 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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