Roger L. Redondo

5.0k total citations · 4 hit papers
20 papers, 3.2k citations indexed

About

Roger L. Redondo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Roger L. Redondo has authored 20 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Roger L. Redondo's work include Neuroscience and Neuropharmacology Research (15 papers), Neural dynamics and brain function (10 papers) and Memory and Neural Mechanisms (8 papers). Roger L. Redondo is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Neural dynamics and brain function (10 papers) and Memory and Neural Mechanisms (8 papers). Roger L. Redondo collaborates with scholars based in Switzerland, United States and Spain. Roger L. Redondo's co-authors include Susumu Tonegawa, Richard Morris, Steve Ramirez, Xu Liu, Xu Liu, Dheeraj S. Roy, Takashi Kitamura, Mark D. Morrissey, Teruhiro Okuyama and Sachie K. Ogawa and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Roger L. Redondo

19 papers receiving 3.2k citations

Hit Papers

Engrams and circuits cruc... 2010 2026 2015 2020 2017 2013 2010 2015 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
Roger L. Redondo Switzerland 11 2.3k 2.2k 528 359 289 20 3.2k
Steve Ramirez United States 18 2.3k 1.0× 2.3k 1.1× 551 1.0× 425 1.2× 293 1.0× 39 3.3k
Junghyup Suh United States 14 1.9k 0.8× 1.9k 0.9× 446 0.8× 312 0.9× 321 1.1× 20 2.8k
Michele Pignatelli United States 14 2.1k 0.9× 2.2k 1.0× 551 1.0× 432 1.2× 175 0.6× 21 3.1k
Dheeraj S. Roy United States 18 2.0k 0.9× 2.1k 0.9× 650 1.2× 405 1.1× 310 1.1× 23 3.5k
Maria Toledo‐Rodriguez United Kingdom 18 2.1k 0.9× 2.5k 1.1× 860 1.6× 372 1.0× 279 1.0× 23 3.7k
Gergely F. Turi United States 22 1.3k 0.6× 1.7k 0.8× 590 1.1× 284 0.8× 182 0.6× 35 2.5k
Tomás J. Ryan United States 18 1.7k 0.7× 2.1k 0.9× 781 1.5× 405 1.1× 132 0.5× 34 3.0k
Soo Yeun Lee United States 21 2.0k 0.8× 2.7k 1.3× 990 1.9× 245 0.7× 258 0.9× 25 3.8k
Roger L. Clem United States 22 1.2k 0.5× 1.5k 0.7× 587 1.1× 231 0.6× 374 1.3× 35 2.2k
Matthias Prigge Germany 15 1.7k 0.7× 2.7k 1.2× 981 1.9× 183 0.5× 165 0.6× 22 3.8k

Countries citing papers authored by Roger L. Redondo

Since Specialization
Citations

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

Fields of papers citing papers by Roger L. Redondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger L. Redondo. 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 Roger L. Redondo. The network helps show where Roger L. Redondo may publish in the future.

Co-authorship network of co-authors of Roger L. Redondo

This figure shows the co-authorship network connecting the top 25 collaborators of Roger L. Redondo. A scholar is included among the top collaborators of Roger L. Redondo 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 Roger L. Redondo. Roger L. Redondo 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.
Janz, Philipp, et al.. (2024). Clinically-probed mechanisms of action in Fragile-X syndrome fail to normalize translational EEG phenotypes in Fmr1 knockout mice. Neuropharmacology. 262. 110182–110182. 3 indexed citations
3.
Janz, Philipp, et al.. (2024). Age-dependent deficits of auditory brainstem responses in juvenile Neurexin1α knockout rats. Scientific Reports. 14(1). 22614–22614.
4.
Janz, Philipp, et al.. (2024). Auditory brainstem responses are resistant to pharmacological modulation in Sprague Dawley wild-type and Neurexin1α knockout rats. BMC Neuroscience. 25(1). 18–18. 1 indexed citations
5.
Gross, Simon, et al.. (2024). Workflow for the unsupervised clustering of sleep stages identifies light and deep sleep in electrophysiological recordings in mice. Journal of Neuroscience Methods. 408. 110155–110155. 2 indexed citations
7.
Redondo, Roger L., et al.. (2023). Theta/gamma Co-modulation Disruption After NMDAr Blockade by MK-801 Is Associated with Spatial Working Memory Deficits in Mice. Neuroscience. 519. 162–176. 9 indexed citations
8.
Janz, Philipp, María Jesús Nicolás, Roger L. Redondo, & Miguel Valencia. (2022). GABABR activation partially normalizes acute NMDAR hypofunction oscillatory abnormalities but fails to rescue sensory processing deficits. Journal of Neurochemistry. 161(5). 417–434. 8 indexed citations
10.
Redondo, Roger L., et al.. (2021). 3D printed rodent skin-skull-brain model: A novel animal-free approach for neurosurgical training. PLoS ONE. 16(6). e0253477–e0253477. 6 indexed citations
11.
Kitamura, Takashi, Sachie K. Ogawa, Dheeraj S. Roy, et al.. (2017). Engrams and circuits crucial for systems consolidation of a memory. Science. 356(6333). 73–78. 677 indexed citations breakdown →
12.
Tonegawa, Susumu, Xu Liu, Steve Ramirez, & Roger L. Redondo. (2015). Memory Engram Cells Have Come of Age. Neuron. 87(5). 918–931. 390 indexed citations breakdown →
13.
Ramirez, Steve, Xu Liu, Christopher J. MacDonald, et al.. (2015). Activating positive memory engrams suppresses depression-like behaviour. Nature. 522(7556). 335–339. 245 indexed citations
14.
Redondo, Roger L., et al.. (2014). Bidirectional switch of the valence associated with a hippocampal contextual memory engram. Nature. 513(7518). 426–430. 337 indexed citations
15.
Liu, Xu, Steve Ramirez, Roger L. Redondo, & Susumu Tonegawa. (2014). Identification and Manipulation of Memory Engram Cells. Cold Spring Harbor Symposia on Quantitative Biology. 79. 59–65. 27 indexed citations
16.
Ramirez, Steve, Xu Liu, Pei-Ann Lin, et al.. (2013). Creating a False Memory in the Hippocampus. Science. 341(6144). 387–391. 612 indexed citations breakdown →
17.
Wang, Szu‐Han, Roger L. Redondo, & Richard Morris. (2010). Relevance of synaptic tagging and capture to the persistence of long-term potentiation and everyday spatial memory. Proceedings of the National Academy of Sciences. 107(45). 19537–19542. 175 indexed citations
18.
Redondo, Roger L., Hiroyuki Okuno, Patrick A. Spooner, et al.. (2010). Synaptic Tagging and Capture: Differential Role of Distinct Calcium/Calmodulin Kinases in Protein Synthesis-Dependent Long-Term Potentiation. Journal of Neuroscience. 30(14). 4981–4989. 137 indexed citations
19.
Redondo, Roger L. & Richard Morris. (2010). Making memories last: the synaptic tagging and capture hypothesis. Nature reviews. Neuroscience. 12(1). 17–30. 533 indexed citations breakdown →
20.
Redondo, Roger L. & James A. Murray. (2005). Pedal neuron 3 serves a significant role in effecting turning during crawling by the marine slug Tritonia diomedea (Bergh). Journal of Comparative Physiology A. 191(5). 435–444. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026