Tomás J. Ryan

4.9k total citations · 3 hit papers
34 papers, 3.0k citations indexed

About

Tomás J. Ryan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Tomás J. Ryan has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 23 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Tomás J. Ryan's work include Neuroscience and Neuropharmacology Research (27 papers), Memory and Neural Mechanisms (21 papers) and Neural dynamics and brain function (9 papers). Tomás J. Ryan is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Memory and Neural Mechanisms (21 papers) and Neural dynamics and brain function (9 papers). Tomás J. Ryan collaborates with scholars based in United States, Ireland and Australia. Tomás J. Ryan's co-authors include Susumu Tonegawa, Michele Pignatelli, Dheeraj S. Roy, Seth G. N. Grant, Junghyup Suh, Pei-Ann Lin, Roger L. Redondo, Steve Ramirez, Xu Liu and Teryn Mitchell and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Tomás J. Ryan

30 papers receiving 3.0k citations

Hit Papers

Creating a False Memory in the Hippocampus 2013 2026 2017 2021 2013 2015 2016 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
Tomás J. Ryan United States 18 2.1k 1.7k 781 405 210 34 3.0k
Tomonori Takeuchi Japan 17 1.6k 0.8× 1.3k 0.8× 697 0.9× 330 0.8× 167 0.8× 30 2.5k
Michele Pignatelli United States 14 2.2k 1.1× 2.1k 1.2× 551 0.7× 432 1.1× 210 1.0× 21 3.1k
Alison L. Barth United States 30 2.6k 1.3× 1.9k 1.1× 1.1k 1.5× 284 0.7× 157 0.7× 70 3.7k
Motokazu Uchigashima Japan 34 3.0k 1.5× 1.4k 0.8× 1.1k 1.4× 272 0.7× 274 1.3× 56 4.5k
Clifford G. Kentros United States 27 2.3k 1.1× 2.0k 1.1× 1.0k 1.3× 298 0.7× 117 0.6× 50 3.2k
Yu Fu China 28 2.4k 1.1× 1.7k 1.0× 1.2k 1.6× 374 0.9× 330 1.6× 84 4.2k
Susanne E. Ahmari United States 25 1.9k 0.9× 1.4k 0.8× 800 1.0× 299 0.7× 167 0.8× 55 3.4k
Raphael Lamprecht Israel 22 1.6k 0.8× 910 0.5× 758 1.0× 319 0.8× 217 1.0× 51 2.4k
Dheeraj S. Roy United States 18 2.1k 1.0× 2.0k 1.2× 650 0.8× 405 1.0× 230 1.1× 23 3.5k
Simon Rumpel Germany 18 1.7k 0.8× 1.3k 0.8× 785 1.0× 249 0.6× 142 0.7× 41 2.5k

Countries citing papers authored by Tomás J. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Tomás J. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomás J. Ryan. 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 Tomás J. Ryan. The network helps show where Tomás J. Ryan may publish in the future.

Co-authorship network of co-authors of Tomás J. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás J. Ryan. A scholar is included among the top collaborators of Tomás J. Ryan 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 Tomás J. Ryan. Tomás J. Ryan 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.
Miller, Ralph R., et al.. (2025). Rethinking memory impairments: Retrieval failure.. Psychological Review. 133(2). 411–449. 1 indexed citations
2.
Lovatt, C.J., Thomas D. O’Sullivan, Clara Ortega‐de San Luis, Tomás J. Ryan, & René Frank. (2025). Memory engram synapse 3D macromolecular architecture visualized by cryoCLEM-guided cryoET. Structure. 34(1). 100–112.e3.
3.
Conway, Paul, Zijun Wang, Clara Ortega‐de San Luis, et al.. (2025). Extinction and subsequent updating of innate fear responses to a visual looming stimulus rely on hippocampus-dependent mechanisms. PLoS Biology. 23(9). e3003391–e3003391.
4.
Douglas, Aaron, James D. O’Leary, Christine A. Denny, et al.. (2025). Cold memories control whole-body thermoregulatory responses. Nature. 641(8064). 942–951. 6 indexed citations
5.
Chapman, Daniel P., et al.. (2024). Amnesia after repeated head impact is caused by impaired synaptic plasticity in the memory engram. Journal of Neuroscience. 44(8). e1560232024–e1560232024. 2 indexed citations
6.
O’Leary, James D., et al.. (2023). Natural forgetting reversibly modulates engram expression. eLife. 12. 9 indexed citations
7.
O’Leary, James D., et al.. (2023). Adaptive expression of engrams by retroactive interference. Cell Reports. 42(8). 112999–112999. 17 indexed citations
8.
Douglas, Aaron, et al.. (2023). Immune activation state modulates infant engram expression across development. Science Advances. 9(45). eadg9921–eadg9921. 17 indexed citations
9.
Ryan, Tomás J. & Paul W. Frankland. (2022). Forgetting as a form of adaptive engram cell plasticity. Nature reviews. Neuroscience. 23(3). 173–186. 87 indexed citations
10.
Luis, Clara Ortega‐de San & Tomás J. Ryan. (2022). Understanding the physical basis of memory: Molecular mechanisms of the engram. Journal of Biological Chemistry. 298(5). 101866–101866. 44 indexed citations
11.
Pignatelli, Michele, et al.. (2018). Engram Cell Excitability State Determines the Efficacy of Memory Retrieval. Neuron. 101(2). 274–284.e5. 147 indexed citations
12.
Roy, Dheeraj S., et al.. (2016). Memory retrieval by activating engram cells in mouse models of early Alzheimer’s disease. RePEc: Research Papers in Economics. 1 indexed citations
13.
Poo, Mu-ming, Michele Pignatelli, Tomás J. Ryan, et al.. (2016). What is memory? The present state of the engram. BMC Biology. 14(1). 40–40. 246 indexed citations
14.
Roy, Dheeraj S., et al.. (2016). Memory retrieval by activating engram cells in mouse models of early Alzheimer’s disease. Nature. 531(7595). 508–512. 404 indexed citations breakdown →
15.
Ryan, Tomás J. & Susumu Tonegawa. (2015). Rehebbilitating Memory. Neuropsychopharmacology. 41(1). 370–371. 10 indexed citations
16.
Tonegawa, Susumu, Michele Pignatelli, Dheeraj S. Roy, & Tomás J. Ryan. (2015). Memory engram storage and retrieval. Current Opinion in Neurobiology. 35. 101–109. 245 indexed citations
17.
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 →
18.
Ryan, Tomás J., Maksym V. Kopanitsa, Tim Indersmitten, et al.. (2012). Evolution of GluN2A/B cytoplasmic domains diversified vertebrate synaptic plasticity and behavior. Nature Neuroscience. 16(1). 25–32. 80 indexed citations
19.
Ryan, Tomás J. & Seth G. N. Grant. (2009). The origin and evolution of synapses. Nature reviews. Neuroscience. 10(10). 701–712. 177 indexed citations
20.
Ryan, Tomás J., Richard D. Emes, Seth G. N. Grant, & Noboru H. Komiyama. (2008). Evolution of NMDA receptor cytoplasmic interaction domains: implications for organisation of synaptic signalling complexes. BMC Neuroscience. 9(1). 6–6. 80 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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