Ingrid Ehrlich

5.9k total citations · 3 hit papers
37 papers, 4.6k citations indexed

About

Ingrid Ehrlich is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ingrid Ehrlich has authored 37 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Ingrid Ehrlich's work include Neuroscience and Neuropharmacology Research (26 papers), Memory and Neural Mechanisms (17 papers) and Photoreceptor and optogenetics research (6 papers). Ingrid Ehrlich is often cited by papers focused on Neuroscience and Neuropharmacology Research (26 papers), Memory and Neural Mechanisms (17 papers) and Photoreceptor and optogenetics research (6 papers). Ingrid Ehrlich collaborates with scholars based in Germany, Switzerland and Austria. Ingrid Ehrlich's co-authors include Andreas Lüthi, Roberto Malinow, Cyril Herry, François Grenier, Johannes J. Letzkus, Stéphane Ciocchi, Steffen B. E. Wolff, Christian Müller, Yann Humeau and Matthew Klein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Ingrid Ehrlich

37 papers receiving 4.5k citations

Hit Papers

Encoding of conditioned fear in central amygdala inhibito... 2009 2026 2014 2020 2010 2009 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Ehrlich Germany 22 3.0k 2.5k 1.2k 918 781 37 4.6k
Oliver Stork Germany 35 2.2k 0.7× 1.9k 0.8× 926 0.8× 1.1k 1.2× 648 0.8× 109 3.9k
Avishek Adhikari United States 24 3.0k 1.0× 2.4k 1.0× 1.3k 1.1× 988 1.1× 1.2k 1.5× 33 5.6k
Elizabeth C. Warburton United Kingdom 38 3.2k 1.1× 3.1k 1.2× 1.1k 0.9× 628 0.7× 537 0.7× 69 5.0k
Stephan Anagnostaras United States 31 3.8k 1.3× 3.0k 1.2× 1.6k 1.3× 1.2k 1.3× 755 1.0× 50 5.8k
Federico Bermúdez‐Rattoni Mexico 43 3.5k 1.2× 3.0k 1.2× 1.2k 1.0× 588 0.6× 620 0.8× 156 5.6k
Lia R. Bevilaqua Brazil 38 3.4k 1.1× 2.7k 1.1× 1.5k 1.3× 666 0.7× 503 0.6× 92 5.2k
Brian J. Wiltgen United States 26 2.6k 0.9× 2.6k 1.1× 1.1k 1.0× 811 0.9× 452 0.6× 39 4.7k
K. Matthew Lattal United States 32 2.3k 0.8× 2.4k 0.9× 1.5k 1.3× 680 0.7× 550 0.7× 75 4.3k
Jean‐Christophe Cassel France 44 3.1k 1.0× 2.7k 1.1× 1.4k 1.2× 516 0.6× 421 0.5× 176 5.4k
Byung Kook Lim United States 31 3.1k 1.0× 1.9k 0.8× 1.5k 1.3× 551 0.6× 684 0.9× 44 5.2k

Countries citing papers authored by Ingrid Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Ehrlich

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Ehrlich. A scholar is included among the top collaborators of Ingrid Ehrlich 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 Ingrid Ehrlich. Ingrid Ehrlich 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.
Aksoy‐Aksel, Ayla, Francesco Ferraguti, Andrew Holmes, Andreas Lüthi, & Ingrid Ehrlich. (2024). Amygdala intercalated cells form an evolutionarily conserved system orchestrating brain networks. Nature Neuroscience. 28(2). 234–247. 6 indexed citations
2.
Hagihara, Kenta M., Olena Bukalo, Martin Zeller, et al.. (2021). Intercalated amygdala clusters orchestrate a switch in fear state. Nature. 594(7863). 403–407. 71 indexed citations
3.
Hörtnagl, Heide, et al.. (2021). Fear Memory Retrieval Is Associated With a Reduction in AMPA Receptor Density at Thalamic to Amygdala Intercalated Cell Synapses. Frontiers in Synaptic Neuroscience. 13. 634558–634558. 6 indexed citations
4.
Wassouf, Zinah, Thomas Hentrich, Carola Rotermund, et al.. (2018). Environmental Enrichment Prevents Transcriptional Disturbances Induced by Alpha-Synuclein Overexpression. Frontiers in Cellular Neuroscience. 12. 112–112. 29 indexed citations
5.
Zussy, Charleine, Xavier Gómez‐Santacana, Xavier Rovira, et al.. (2016). Dynamic modulation of inflammatory pain-related affective and sensory symptoms by optical control of amygdala metabotropic glutamate receptor 4. Molecular Psychiatry. 23(3). 509–520. 55 indexed citations
6.
Ehrlich, Ingrid, et al.. (2016). Sleep supports cued fear extinction memory consolidation independent of circadian phase. Neurobiology of Learning and Memory. 132. 9–17. 21 indexed citations
7.
Horovitz, Omer, Anne Albrecht, Martin Kriebel, et al.. (2016). GABAergic Synapses at the Axon Initial Segment of Basolateral Amygdala Projection Neurons Modulate Fear Extinction. Neuropsychopharmacology. 42(2). 473–484. 34 indexed citations
10.
Bosch, Daniel, et al.. (2015). Sensory Inputs to Intercalated Cells Provide Fear-Learning Modulated Inhibition to the Basolateral Amygdala. Neuron. 86(2). 541–554. 77 indexed citations
11.
Wolff, Steffen B. E., Cyril Herry, François Grenier, et al.. (2014). Long-Range Connectivity Defines Behavioral Specificity of Amygdala Neurons. Neuron. 81(2). 428–437. 395 indexed citations breakdown →
12.
13.
Herry, Cyril, Francesco Ferraguti, Nicolas Singewald, et al.. (2010). Neuronal circuits of fear extinction. European Journal of Neuroscience. 31(4). 599–612. 381 indexed citations
14.
Pichon, Xavier, Anne‐Sophie Wattiez, Carine Bécamel, et al.. (2010). Disrupting 5-HT2A Receptor/PDZ Protein Interactions Reduces Hyperalgesia and Enhances SSRI Efficacy in Neuropathic Pain. Molecular Therapy. 18(8). 1462–1470. 49 indexed citations
15.
Ciocchi, Stéphane, Cyril Herry, François Grenier, et al.. (2010). Encoding of conditioned fear in central amygdala inhibitory circuits. Nature. 468(7321). 277–282. 712 indexed citations breakdown →
16.
Tang, Wannan, Ingrid Ehrlich, Steffen B. E. Wolff, et al.. (2009). Faithful Expression of Multiple Proteins via 2A-Peptide Self-Processing: A Versatile and Reliable Method for Manipulating Brain Circuits. Journal of Neuroscience. 29(27). 8621–8629. 146 indexed citations
17.
Boehm, Jannic, Ingrid Ehrlich, Helen Hsieh, & Roberto Malinow. (2006). Two mutations preventing PDZ–protein interactions of GluR1 have opposite effects on synaptic plasticity. Learning & Memory. 13(5). 562–565. 18 indexed citations
18.
Löhmann, Christian, Ingrid Ehrlich, & Eckhard Friauf. (1999). Axon regeneration in organotypic slice cultures from the mammalian auditory system is topographic and functional. Journal of Neurobiology. 41(4). 596–611. 13 indexed citations
19.
Ehrlich, Ingrid, Stefan Löhrke, & Eckhard Friauf. (1999). Shift from depolarizing to hyperpolarizing glycine action in rat auditory neurones is due to age‐dependent Cl regulation. The Journal of Physiology. 520(1). 121–137. 146 indexed citations
20.
Ehrlich, Ingrid, Vesna Ilić, Christian Löhmann, & Eckhard Friauf. (1998). Development of glycinergic transmission in organotypic cultures from auditory brain stem. Neuroreport. 9(12). 2785–2790. 11 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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