Daniel Jercog

574 total citations
9 papers, 325 citations indexed

About

Daniel Jercog is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Jercog has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Daniel Jercog's work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Daniel Jercog is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (4 papers). Daniel Jercog collaborates with scholars based in France, Spain and Switzerland. Daniel Jercog's co-authors include Cyril Herry, Artur Luczak, Péter Barthó, Fabrice Chaudun, Albert Compte, Jaime de la Rocha, Alex Roxin, Robert R. Rozeske, Delphine Girard and Nikolaos Karalis and has published in prestigious journals such as Nature, Neuron and Nature Neuroscience.

In The Last Decade

Daniel Jercog

8 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Jercog France	6	245	150	50	49	44	9	325
Darrell Haufler United States	9	200 0.8×	130 0.9×	45 0.9×	64 1.3×	33 0.8×	11	265
Brian F Sadacca United States	11	483 2.0×	258 1.7×	38 0.8×	31 0.6×	67 1.5×	12	635
Maxym Myroshnychenko United States	7	309 1.3×	205 1.4×	25 0.5×	26 0.5×	34 0.8×	10	390
Martha N. Havenith Germany	10	439 1.8×	223 1.5×	39 0.8×	65 1.3×	47 1.1×	22	551
James G. Heys United States	10	428 1.7×	345 2.3×	19 0.4×	29 0.6×	53 1.2×	13	499
Brian Theyel United States	6	314 1.3×	219 1.5×	41 0.8×	30 0.6×	29 0.7×	12	443
Angela M. Boley United States	9	208 0.8×	301 2.0×	87 1.7×	57 1.2×	81 1.8×	16	515
Rachel A. Mak-McCully United States	7	502 2.0×	176 1.2×	19 0.4×	28 0.6×	11 0.3×	7	619
Robson Scheffer-Teixeira Brazil	9	506 2.1×	414 2.8×	18 0.4×	15 0.3×	31 0.7×	9	608
Álvaro Tejero-Cantero Germany	6	600 2.4×	345 2.3×	25 0.5×	26 0.5×	67 1.5×	9	733

Countries citing papers authored by Daniel Jercog

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Jercog

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jercog

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

All Works

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9 of 9 papers shown

1.

Herry, Cyril, et al.. (2026). Prefrontal neural geometry of learned cues guides motivated behaviours. Nature. 651(8104). 164–173.

2.

Cutando, Laura, Emma Puighermanal, Daniel Jercog, et al.. (2023). Dopamine D2 receptors in WFS1-neurons regulate food-seeking and avoidance behaviors. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 129. 110883–110883. 4 indexed citations

3.

Martín‐Fernández, Mario, et al.. (2023). Prefrontal circuits encode both general danger and specific threat representations. Nature Neuroscience. 26(12). 2147–2157. 5 indexed citations

4.

Herry, Cyril & Daniel Jercog. (2022). Decoding defensive systems. Current Opinion in Neurobiology. 76. 102600–102600. 5 indexed citations

5.

Bienvenu, Thomas, Cyril Déjean, Daniel Jercog, et al.. (2021). The advent of fear conditioning as an animal model of post-traumatic stress disorder: Learning from the past to shape the future of PTSD research. Neuron. 109(15). 2380–2397. 52 indexed citations

6.

Jercog, Daniel, Mario Martín‐Fernández, Julien Courtin, et al.. (2021). Dynamical prefrontal population coding during defensive behaviours. Nature. 595(7869). 690–694. 43 indexed citations

7.

Pérez‐Zabalza, María, et al.. (2020). Modulation of cortical slow oscillatory rhythm by GABA _B receptors: an in vitro experimental and computational study. The Journal of Physiology. 598(16). 3439–3457. 19 indexed citations

8.

Rozeske, Robert R., Daniel Jercog, Nikolaos Karalis, et al.. (2018). Prefrontal-Periaqueductal Gray-Projecting Neurons Mediate Context Fear Discrimination. Neuron. 97(4). 898–910.e6. 100 indexed citations

9.

Jercog, Daniel, Alex Roxin, Péter Barthó, et al.. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6. 97 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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