Daniela Schiller

9.0k total citations · 4 hit papers
89 papers, 5.9k citations indexed

About

Daniela Schiller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Daniela Schiller has authored 89 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 18 papers in Social Psychology. Recurrent topics in Daniela Schiller's work include Memory and Neural Mechanisms (43 papers), Stress Responses and Cortisol (17 papers) and Neuroscience and Neuropharmacology Research (16 papers). Daniela Schiller is often cited by papers focused on Memory and Neural Mechanisms (43 papers), Stress Responses and Cortisol (17 papers) and Neuroscience and Neuropharmacology Research (16 papers). Daniela Schiller collaborates with scholars based in United States, Israel and Switzerland. Daniela Schiller's co-authors include Elizabeth A. Phelps, Joseph E. LeDoux, Marie‐H. Monfils, Mauricio R. Delgado, Candace M. Raio, David C. Johnson, Ifat Levy, Jian Li, Jonathan Lee and Karim Nader and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniela Schiller

83 papers receiving 5.7k citations

Hit Papers

Preventing the return of fear in humans using reconsolida... 2009 2026 2014 2020 2009 2017 2021 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Schiller United States 36 4.1k 1.7k 1.1k 1.0k 961 89 5.9k
Tom Beckers Belgium 41 3.2k 0.8× 918 0.5× 1.2k 1.2× 1.1k 1.1× 896 0.9× 160 4.8k
Daphna Shohamy United States 47 6.3k 1.5× 1.5k 0.9× 1.3k 1.2× 393 0.4× 694 0.7× 100 8.3k
Mathias Pessiglione France 42 4.6k 1.1× 1.6k 0.9× 1.2k 1.1× 305 0.3× 664 0.7× 97 6.9k
Peter H. Rudebeck United States 29 3.7k 0.9× 1.2k 0.7× 592 0.6× 422 0.4× 782 0.8× 53 4.9k
Neil McNaughton New Zealand 44 5.4k 1.3× 3.7k 2.2× 1.8k 1.7× 1.4k 1.3× 1.7k 1.7× 168 9.2k
Timothy D. Ely United States 30 2.1k 0.5× 1.1k 0.7× 743 0.7× 730 0.7× 540 0.6× 63 4.2k
John A. Parkinson United Kingdom 34 4.4k 1.1× 3.9k 2.3× 684 0.6× 731 0.7× 1.3k 1.3× 73 7.6k
Simon Killcross United Kingdom 39 4.2k 1.0× 3.8k 2.3× 451 0.4× 1.3k 1.2× 1.3k 1.4× 115 6.7k
Lars Schwabe Germany 51 4.9k 1.2× 1.4k 0.9× 1.5k 1.4× 4.1k 4.0× 2.4k 2.5× 186 9.3k
Szabolcs Kéri Hungary 42 2.7k 0.7× 853 0.5× 995 0.9× 442 0.4× 678 0.7× 219 6.0k

Countries citing papers authored by Daniela Schiller

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Schiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Schiller

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Schiller. A scholar is included among the top collaborators of Daniela Schiller 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 Daniela Schiller. Daniela Schiller 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.
Ceceli, Ahmet O., Natalie McClain, J. A. Muir Gray, et al.. (2025). The synergy of methylphenidate- and reconsolidation-based extinction normalizes ventromedial prefrontal function in drug addiction. Proceedings of the National Academy of Sciences. 122(45). e2512310122–e2512310122.
2.
Banker, Sarah, et al.. (2025). Phenotypic divergence between individuals with self-reported autistic traits and clinically ascertained autism. Nature Mental Health. 3(3). 286–297. 2 indexed citations
4.
Kulkarni, Kaustubh, Laura A. Berner, Vincenzo G. Fiore, et al.. (2022). An Interpretable and Predictive Connectivity-Based Neural Signature for Chronic Cannabis Use. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(3). 320–330. 9 indexed citations
5.
Polley, Daniel B. & Daniela Schiller. (2022). The promise of low-tech intervention in a high-tech era: Remodeling pathological brain circuits using behavioral reverse engineering. Neuroscience & Biobehavioral Reviews. 137. 104652–104652. 8 indexed citations
6.
Croxson, Paula L., Liz Neeley, & Daniela Schiller. (2021). You have to read this. Nature Human Behaviour. 5(11). 1466–1468. 3 indexed citations
7.
Visser, Renée M., Michael C. Anderson, Adam R. Aron, et al.. (2021). Neuropsychological Mechanisms of Intrusive Thinking. The MIT Press eBooks. 125–184. 4 indexed citations
8.
Speer, Megan E., et al.. (2021). Finding positive meaning in memories of negative events adaptively updates memory. Nature Communications. 12(1). 6601–6601. 31 indexed citations
9.
Homan, Philipp, Ifat Levy, Charles Gordon, et al.. (2019). Neural computations of threat in the aftermath of combat trauma. Nature Neuroscience. 22(3). 470–476. 52 indexed citations
10.
Hu, Jingchu, et al.. (2018). Post-retrieval oxytocin facilitates next day extinction of threat memory in humans. Psychopharmacology. 236(1). 293–301. 14 indexed citations
11.
Schiller, Daniela, et al.. (2018). Navigating Social Space. Neuron. 100(2). 476–489. 86 indexed citations
12.
Reddan, Marianne C., Tor D. Wager, & Daniela Schiller. (2018). Attenuating Neural Threat Expression with Imagination. Neuron. 100(4). 994–1005.e4. 68 indexed citations
13.
Hu, Jingchu, et al.. (2018). Reminder duration determines threat memory modification in humans. Scientific Reports. 8(1). 8848–8848. 27 indexed citations
14.
Collins, Katherine A., Avi Mendelsohn, Christopher K. Cain, & Daniela Schiller. (2014). Taking Action in the Face of Threat: Neural Synchronization Predicts Adaptive Coping. Journal of Neuroscience. 34(44). 14733–14738. 45 indexed citations
15.
Zhang, Zhihao, Kirk F. Manson, Daniela Schiller, & Ifat Levy. (2014). Impaired Associative Learning with Food Rewards in Obese Women. Current Biology. 24(15). 1731–1736. 55 indexed citations
16.
Schiller, Daniela, Candace M. Raio, & Elizabeth A. Phelps. (2012). Extinction Training During the Reconsolidation Window Prevents Recovery of Fear. Journal of Visualized Experiments. e3893–e3893. 27 indexed citations
17.
Schiller, Daniela. (2011). Affective Neuroscience: Tracing the Trace of Fear. Current Biology. 21(18). R695–R696. 1 indexed citations
18.
Quirk, Gregory J., Denis Paré, Rick Richardson, et al.. (2010). Erasing Fear Memories with Extinction Training: Figure 1.. Journal of Neuroscience. 30(45). 14993–14997. 171 indexed citations
19.
Schiller, Daniela, Ifat Levy, Yael Niv, Joseph E. LeDoux, & Elizabeth A. Phelps. (2008). From Fear to Safety and Back: Reversal of Fear in the Human Brain. Journal of Neuroscience. 28(45). 11517–11525. 348 indexed citations
20.
Schiller, Daniela & Horatio B. Fung. (2007). Posaconazole: An extended-spectrum triazole antifungal agent. Clinical Therapeutics. 29(9). 1862–1886. 110 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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