Torfi Sigurdsson

2.3k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Torfi Sigurdsson is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Torfi Sigurdsson has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Torfi Sigurdsson's work include Neuroscience and Neuropharmacology Research (13 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). Torfi Sigurdsson is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). Torfi Sigurdsson collaborates with scholars based in Germany, United States and France. Torfi Sigurdsson's co-authors include Sevil Duvarci, Joshua A. Gordon, Joseph A. Gogos, Maria Karayiorgou, Kimberly L. Stark, Joseph E. LeDoux, Valérie Doyère, Christopher K. Cain, Pascal Vogel and Glenn E. Schafe and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Torfi Sigurdsson

18 papers receiving 1.6k citations

Hit Papers

Impaired hippocampal–prefrontal synchrony in a genetic mo... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torfi Sigurdsson Germany 14 1.1k 898 356 224 167 18 1.6k
Sébastien Parnaudeau France 14 783 0.7× 751 0.8× 330 0.9× 204 0.9× 185 1.1× 16 1.5k
Scott S. Bolkan United States 13 1.1k 1.1× 937 1.0× 274 0.8× 337 1.5× 273 1.6× 15 1.9k
Ryan G. Parsons United States 17 734 0.7× 724 0.8× 337 0.9× 402 1.8× 237 1.4× 31 1.3k
Brigitte Cosquer France 27 889 0.8× 958 1.1× 378 1.1× 189 0.8× 124 0.7× 59 1.7k
Aslihan Selimbeyoglu United States 8 747 0.7× 759 0.8× 377 1.1× 140 0.6× 266 1.6× 8 1.5k
Gwendolyn G. Calhoon United States 10 922 0.9× 844 0.9× 349 1.0× 340 1.5× 383 2.3× 11 1.7k
Cristiane Regina Guerino Furini Brazil 24 815 0.8× 804 0.9× 359 1.0× 314 1.4× 355 2.1× 50 1.5k
Georgia M. Alexander United States 19 830 0.8× 1.1k 1.3× 537 1.5× 163 0.7× 264 1.6× 30 1.8k
Kiriana K. Cowansage United States 12 1.1k 1.0× 1.0k 1.1× 322 0.9× 331 1.5× 202 1.2× 17 1.7k
Gregory B. Bissonette United States 18 705 0.7× 636 0.7× 276 0.8× 163 0.7× 146 0.9× 22 1.2k

Countries citing papers authored by Torfi Sigurdsson

Since Specialization
Citations

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

Fields of papers citing papers by Torfi Sigurdsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torfi Sigurdsson

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

All Works

18 of 18 papers shown
1.
Sigurdsson, Torfi, et al.. (2025). The dorsal and ventral hippocampus contribute differentially to spatial working memory and spatial coding in the prefrontal cortex. PLoS Biology. 23(4). e3003140–e3003140. 1 indexed citations
2.
Sigurdsson, Torfi, et al.. (2024). A persistent prefrontal reference frame across time and task rules. Nature Communications. 15(1). 2115–2115. 4 indexed citations
3.
Hanganu‐Opatz, Ileana L., Thomas Klausberger, Torfi Sigurdsson, et al.. (2023). Resolving the prefrontal mechanisms of adaptive cognitive behaviors: A cross-species perspective. Neuron. 111(7). 1020–1036. 18 indexed citations
4.
Gogos, Joseph A., et al.. (2023). Altered corollary discharge signaling in the auditory cortex of a mouse model of schizophrenia predisposition. Nature Communications. 14(1). 7388–7388. 4 indexed citations
5.
Malsen, J.G. de Mooij‐van, et al.. (2023). Task-specific oscillatory synchronization of prefrontal cortex, nucleus reuniens, and hippocampus during working memory. iScience. 26(9). 107532–107532. 13 indexed citations
6.
Sigurdsson, Torfi, et al.. (2023). Functional architecture of dopamine neurons driving fear extinction learning. Neuron. 111(23). 3854–3870.e5. 21 indexed citations
7.
Vogel, Pascal, et al.. (2022). Prefrontal pyramidal neurons are critical for all phases of working memory. Cell Reports. 39(2). 110659–110659. 30 indexed citations
8.
Sigurdsson, Torfi, et al.. (2019). The Spatial Extent of Optogenetic Silencing in Transgenic Mice Expressing Channelrhodopsin in Inhibitory Interneurons. Cell Reports. 29(5). 1381–1395.e4. 25 indexed citations
9.
Duvarci, Sevil, Eleanor H. Simpson, Gaby Schneider, et al.. (2018). Impaired recruitment of dopamine neurons during working memory in mice with striatal D2 receptor overexpression. Nature Communications. 9(1). 2822–2822. 27 indexed citations
10.
Tegeder, Irmgard, Hong Chen, Gregor Laube, et al.. (2018). Synaptic phospholipids as a new target for cortical hyperexcitability and E/I balance in psychiatric disorders. Molecular Psychiatry. 23(8). 1699–1710. 38 indexed citations
11.
12.
Sigurdsson, Torfi, et al.. (2016). Attenuation of Responses to Self-Generated Sounds in Auditory Cortical Neurons. Journal of Neuroscience. 36(47). 12010–12026. 70 indexed citations
13.
Sigurdsson, Torfi & Sevil Duvarci. (2016). Hippocampal-Prefrontal Interactions in Cognition, Behavior and Psychiatric Disease. Frontiers in Systems Neuroscience. 9. 190–190. 214 indexed citations
14.
Burghardt, Nesha S., Torfi Sigurdsson, Jack M. Gorman, Bruce S. McEwen, & Joseph E. LeDoux. (2012). Chronic Antidepressant Treatment Impairs the Acquisition of Fear Extinction. Biological Psychiatry. 73(11). 1078–1086. 74 indexed citations
15.
Adhikari, Avishek, et al.. (2010). Cross-correlation of instantaneous amplitudes of field potential oscillations: A straightforward method to estimate the directionality and lag between brain areas. Journal of Neuroscience Methods. 191(2). 191–200. 83 indexed citations
16.
Sigurdsson, Torfi, Kimberly L. Stark, Maria Karayiorgou, Joseph A. Gogos, & Joshua A. Gordon. (2010). Impaired hippocampal–prefrontal synchrony in a genetic mouse model of schizophrenia. Nature. 464(7289). 763–767. 504 indexed citations breakdown →
17.
Sigurdsson, Torfi, Valérie Doyère, Christopher K. Cain, & Joseph E. LeDoux. (2006). Long-term potentiation in the amygdala: A cellular mechanism of fear learning and memory. Neuropharmacology. 52(1). 215–227. 236 indexed citations
18.
Doyère, Valérie, Glenn E. Schafe, Torfi Sigurdsson, & Joseph E. LeDoux. (2003). Long‐term potentiation in freely moving rats reveals asymmetries in thalamic and cortical inputs to the lateral amygdala. European Journal of Neuroscience. 17(12). 2703–2715. 84 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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