Richard Rueda

3.8k total citations · 2 hit papers
8 papers, 1.7k citations indexed

About

Richard Rueda is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Richard Rueda has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Richard Rueda's work include Cancer therapeutics and mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Richard Rueda is often cited by papers focused on Cancer therapeutics and mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Richard Rueda collaborates with scholars based in United States. Richard Rueda's co-authors include Fan Gao, Jinsoo Seo, Li‐Huei Tsai, Anthony J. Martorell, Oleg Kritskiy, Andrii Rudenko, Rebecca G. Canter, Edward S. Boyden, Hansruedi Mathys and Annabelle C. Singer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard Rueda

8 papers receiving 1.6k citations

Hit Papers

Gamma frequency entrainment attenuates amyloid load and m... 2015 2026 2018 2022 2016 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Rueda United States 6 743 543 515 283 270 8 1.7k
Ayumu Konno Japan 21 806 1.1× 657 1.2× 241 0.5× 383 1.4× 116 0.4× 63 1.8k
Koko Ishizuka United States 21 1.4k 1.8× 714 1.3× 247 0.5× 300 1.1× 306 1.1× 59 2.5k
Véronique Sgambato France 27 648 0.9× 1.4k 2.7× 493 1.0× 223 0.8× 156 0.6× 53 2.7k
Tomomi Aida Japan 23 793 1.1× 611 1.1× 315 0.6× 194 0.7× 101 0.4× 41 1.5k
Maria Concetta Miniaci Italy 20 1.0k 1.4× 867 1.6× 367 0.7× 305 1.1× 253 0.9× 42 2.0k
Ellen Kanter United States 12 811 1.1× 765 1.4× 386 0.7× 330 1.2× 394 1.5× 14 2.2k
Miou Zhou United States 21 862 1.2× 1.2k 2.2× 715 1.4× 676 2.4× 255 0.9× 35 2.7k
Court Hull United States 20 765 1.0× 933 1.7× 772 1.5× 457 1.6× 131 0.5× 29 1.9k
Guomei Tang United States 20 1.2k 1.6× 784 1.4× 504 1.0× 266 0.9× 447 1.7× 43 2.9k
Samantha J. Fung Australia 22 693 0.9× 847 1.6× 360 0.7× 284 1.0× 108 0.4× 27 1.9k

Countries citing papers authored by Richard Rueda

Since Specialization
Citations

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

Fields of papers citing papers by Richard Rueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Rueda

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

All Works

8 of 8 papers shown
1.
Segev, Amir, et al.. (2023). Atypical Modes of CTCF Binding Facilitate Tissue-Specific and Neuronal Activity-Dependent Gene Expression States. Molecular Neurobiology. 61(6). 3240–3257. 4 indexed citations
2.
Delint‐Ramírez, Ilse, Richard Rueda, Alvaro Sebastian Vaca Jácome, et al.. (2022). Calcineurin dephosphorylates topoisomerase IIβ and regulates the formation of neuronal-activity-induced DNA breaks. Molecular Cell. 82(20). 3794–3809.e8. 23 indexed citations
3.
Yamakawa, Hidekuni, Jemmie Cheng, Jay Penney, et al.. (2017). The Transcription Factor Sp3 Cooperates with HDAC2 to Regulate Synaptic Function and Plasticity in Neurons. Cell Reports. 20(6). 1319–1334. 73 indexed citations
4.
Singer, Annabelle C., Anthony J. Martorell, Andrii Rudenko, et al.. (2016). Gamma frequency entrainment attenuates amyloid load and modifies microglia. RePEc: Research Papers in Economics. 3 indexed citations
5.
Singer, Annabelle C., Anthony J. Martorell, Andrii Rudenko, et al.. (2016). Gamma frequency entrainment attenuates amyloid load and modifies microglia. Nature. 540(7632). 230–235. 859 indexed citations breakdown →
6.
Durak, Omer, Fan Gao, Yea Jin Kaeser‐Woo, et al.. (2016). Chd8 mediates cortical neurogenesis via transcriptional regulation of cell cycle and Wnt signaling. Nature Neuroscience. 19(11). 1477–1488. 160 indexed citations
7.
Madabhushi, Ram, Fan Gao, Andreas R. Pfenning, et al.. (2015). Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes. Cell. 161(7). 1592–1605. 489 indexed citations breakdown →
8.
Rei, Damien, Xenos Mason, Jinsoo Seo, et al.. (2015). Basolateral amygdala bidirectionally modulates stress-induced hippocampal learning and memory deficits through a p25/Cdk5-dependent pathway. Proceedings of the National Academy of Sciences. 112(23). 7291–7296. 50 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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