Ritchie Chen

4.6k total citations · 2 hit papers
22 papers, 2.8k citations indexed

About

Ritchie Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ritchie Chen has authored 22 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Ritchie Chen's work include Photoreceptor and optogenetics research (6 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (5 papers). Ritchie Chen is often cited by papers focused on Photoreceptor and optogenetics research (6 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (5 papers). Ritchie Chen collaborates with scholars based in United States, France and United Kingdom. Ritchie Chen's co-authors include Polina Anikeeva, Andrés Canales, Michael G. Christiansen, A. Mohr, Gabriela Romero, Karl Deisseroth, Philip H. Choi, Ronald N. Zuckermann, Ki Tae Nam and Christian Kisielowski and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ritchie Chen

20 papers receiving 2.8k citations

Hit Papers

Wireless magnetothermal deep brain stimulation 2015 2026 2018 2022 2015 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritchie Chen United States 17 1.2k 954 675 498 451 22 2.8k
Denis Scaini Italy 27 945 0.8× 1.2k 1.3× 547 0.8× 385 0.8× 351 0.8× 63 2.5k
Yoonkey Nam South Korea 33 1.6k 1.3× 1.3k 1.4× 356 0.5× 219 0.4× 671 1.5× 107 2.8k
Francesca Santoro Italy 33 1.3k 1.1× 1.4k 1.4× 611 0.9× 193 0.4× 922 2.0× 122 3.4k
Sung June Kim South Korea 38 1.8k 1.5× 1.9k 2.0× 661 1.0× 176 0.4× 1.4k 3.1× 168 4.4k
Keiichi Torimitsu Japan 33 852 0.7× 1.0k 1.1× 710 1.1× 170 0.3× 1.1k 2.5× 115 3.1k
Giada Cellot Italy 20 857 0.7× 894 0.9× 284 0.4× 343 0.7× 176 0.4× 32 1.8k
Yael Hanein Israel 34 1.5k 1.2× 1.3k 1.4× 246 0.4× 128 0.3× 1.1k 2.3× 123 3.5k
Xi Wang China 31 493 0.4× 1.8k 1.9× 975 1.4× 195 0.4× 368 0.8× 137 4.1k
Valentina Benfenati Italy 26 745 0.6× 455 0.5× 670 1.0× 428 0.9× 268 0.6× 62 2.1k
Ksenija Jeftinija United States 12 1.3k 1.1× 710 0.7× 1.4k 2.1× 884 1.8× 116 0.3× 18 4.2k

Countries citing papers authored by Ritchie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ritchie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritchie Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ritchie Chen. A scholar is included among the top collaborators of Ritchie Chen 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 Ritchie Chen. Ritchie Chen 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.
Burke, Dennis A., et al.. (2026). Duration between rewards controls the rate of behavioral and dopaminergic learning. Nature Neuroscience.
2.
Crowther, Andrew, Sakeen W. Kashem, Henry Chang, et al.. (2025). Keratinocyte–TRPV1 sensory neuron interactions in a genetically controllable mouse model of chronic neuropathic itch. Proceedings of the National Academy of Sciences. 122(24). e2411724122–e2411724122.
3.
Zhang, Qiming, et al.. (2024). Integrated Bioelectronic and Optogenetic Methods to Study Brain–Body Circuits. ACS Nano. 18(44). 30117–30122. 5 indexed citations
4.
Tan, Longzhi, Bibudha Parasar, Inma Cobos, et al.. (2023). Lifelong restructuring of 3D genome architecture in cerebellar granule cells. Science. 381(6662). 1112–1119. 28 indexed citations
5.
Sylwestrak, Emily, YoungJu Jo, Sam Vesuna, et al.. (2022). Cell-type-specific population dynamics of diverse reward computations. Cell. 185(19). 3568–3587.e27. 33 indexed citations
6.
Tan, Longzhi, Wenping Ma, Honggui Wu, et al.. (2021). Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development. Cell. 184(3). 741–758.e17. 108 indexed citations
7.
Chen, Ritchie, Felicity Gore, Quynh-Anh Nguyen, et al.. (2020). Deep brain optogenetics without intracranial surgery. Nature Biotechnology. 39(2). 161–164. 150 indexed citations
8.
Lovett-Barron, Matthew, Ritchie Chen, Aaron S. Andalman, et al.. (2020). Multiple convergent hypothalamus–brainstem circuits drive defensive behavior. Nature Neuroscience. 23(8). 959–967. 55 indexed citations
9.
Rao, Siyuan, Ritchie Chen, Michael G. Christiansen, et al.. (2019). Remotely controlled chemomagnetic modulation of targeted neural circuits. Nature Nanotechnology. 14(10). 967–973. 86 indexed citations
10.
Andalman, Aaron S., Matthew Lovett-Barron, Michael Broxton, et al.. (2019). Neuronal Dynamics Regulating Brain and Behavioral State Transitions. Cell. 177(4). 970–985.e20. 158 indexed citations
11.
Tran, Helen, Vivian R. Feig, Kathy Liu, et al.. (2019). Stretchable and Fully Degradable Semiconductors for Transient Electronics. ACS Central Science. 5(11). 1884–1891. 119 indexed citations
12.
Park, Seongjun, Yuanyuan Guo, Xiaoting Jia, et al.. (2017). One-step optogenetics with multifunctional flexible polymer fibers. PMC. 2 indexed citations
13.
Park, Seongjun, Yuanyuan Guo, Xiaoting Jia, et al.. (2017). One-step optogenetics with multifunctional flexible polymer fibers. Nature Neuroscience. 20(4). 612–619. 289 indexed citations
14.
Chen, Ritchie, Andrés Canales, & Polina Anikeeva. (2017). Neural recording and modulation technologies. Nature Reviews Materials. 2(2). 481 indexed citations breakdown →
15.
Chen, Ritchie, Michael G. Christiansen, A. Mohr, et al.. (2016). High-Performance Ferrite Nanoparticles through Nonaqueous Redox Phase Tuning. Nano Letters. 16(2). 1345–1351. 92 indexed citations
16.
Loynachan, Colleen N., Gabriela Romero, Michael G. Christiansen, et al.. (2015). Targeted Magnetic Nanoparticles for Remote Magnetothermal Disruption of Amyloid‐β Aggregates. Advanced Healthcare Materials. 4(14). 2100–2109. 31 indexed citations
17.
Matsumoto, Yuri, Ritchie Chen, Polina Anikeeva, & Alan Jasanoff. (2015). Engineering intracellular biomineralization and biosensing by a magnetic protein. Nature Communications. 6(1). 8721–8721. 52 indexed citations
18.
Loynachan, Colleen N., Gabriela Romero, Michael G. Christiansen, et al.. (2015). Alzheimer's Disease: Targeted Magnetic Nanoparticles for Remote Magnetothermal Disruption of Amyloid‐β Aggregates (Adv. Healthcare Mater. 14/2015). Advanced Healthcare Materials. 4(14). 2049–2049. 1 indexed citations
19.
Kudirka, Romas, Helen Tran, Babak Sanii, et al.. (2011). Folding of a single‐chain, information‐rich polypeptoid sequence into a highly ordered nanosheet. Biopolymers. 96(5). 586–595. 86 indexed citations
20.
Nam, Ki Tae, Sarah A. Shelby, Philip H. Choi, et al.. (2010). Free-floating ultrathin two-dimensional crystals from sequence-specific peptoid polymers. Nature Materials. 9(5). 454–460. 367 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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