Jerry L. Chen

3.3k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

Jerry L. Chen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Jerry L. Chen has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 6 papers in Biophysics. Recurrent topics in Jerry L. Chen's work include Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (15 papers) and Photoreceptor and optogenetics research (10 papers). Jerry L. Chen is often cited by papers focused on Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (15 papers) and Photoreceptor and optogenetics research (10 papers). Jerry L. Chen collaborates with scholars based in United States, Switzerland and Japan. Jerry L. Chen's co-authors include Robert J. Zatorre, Virginia B. Penhune, Elly Nedivi, Fritjof Helmchen, Peter T. C. So, Yoshiyuki Kubota, Bernard L. Schneider, Stefano Carta, Joana Soldado-Magraner and Fabian F. Voigt and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jerry L. Chen

27 papers receiving 2.2k citations

Hit Papers

Listening to Musical Rhythms Recruits Motor Regions of th... 2008 2026 2014 2020 2008 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
Jerry L. Chen United States 19 1.4k 1.1k 313 282 234 29 2.2k
Adi Mizrahi Israel 28 1.0k 0.7× 1.3k 1.1× 356 1.1× 358 1.3× 134 0.6× 62 2.5k
Brian Zingg United States 17 1.6k 1.1× 1.4k 1.2× 769 2.5× 290 1.0× 170 0.7× 18 2.8k
Christina K. Kim United States 16 1.4k 1.0× 1.8k 1.6× 748 2.4× 175 0.6× 164 0.7× 22 2.8k
Kenichi Ohki Japan 25 2.2k 1.6× 1.6k 1.4× 566 1.8× 162 0.6× 296 1.3× 52 2.9k
Cathryn R. Cadwell United States 12 1.8k 1.3× 1.3k 1.2× 890 2.8× 281 1.0× 176 0.8× 19 2.8k
Saumil S. Patel United States 20 1.2k 0.8× 663 0.6× 274 0.9× 128 0.5× 147 0.6× 71 1.8k
Cora Sau Wan Lai Hong Kong 16 683 0.5× 730 0.7× 321 1.0× 213 0.8× 71 0.3× 33 1.6k
Matthew Lovett-Barron United States 16 1.3k 0.9× 1.4k 1.2× 402 1.3× 250 0.9× 194 0.8× 26 2.1k
Talia N. Lerner United States 18 1.1k 0.8× 1.5k 1.3× 618 2.0× 116 0.4× 101 0.4× 28 2.4k
Steve Ramirez United States 18 2.3k 1.6× 2.3k 2.1× 551 1.8× 425 1.5× 57 0.2× 39 3.3k

Countries citing papers authored by Jerry L. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jerry L. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry L. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jerry L. Chen. A scholar is included among the top collaborators of Jerry L. 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 Jerry L. Chen. Jerry L. 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.
2.
Nogueira, Ramon, et al.. (2024). Perirhinal cortex learns a predictive map of the task environment. Nature Communications. 15(1). 5544–5544. 1 indexed citations
3.
Platiša, Jelena, Allison M. Ahrens, Chang Liu, et al.. (2023). High-speed low-light in vivo two-photon voltage imaging of large neuronal populations. Nature Methods. 20(7). 1095–1103. 52 indexed citations
4.
Liu, Chang, Jelena Platiša, Allison M. Ahrens, et al.. (2023). Two-photon voltage imaging denoising by self-supervised learning. 2021. 13–13. 2 indexed citations
5.
Bistrong, Karina, Shenqin Yao, Zizhen Yao, et al.. (2022). Dense functional and molecular readout of a circuit hub in sensory cortex. Science. 375(6576). eabl5981–eabl5981. 35 indexed citations
6.
Chen, Anderson, et al.. (2021). Flexible simultaneous mesoscale two-photon imaging of neural activity at high speeds. Nature Communications. 12(1). 6638–6638. 20 indexed citations
7.
Mohr, Manuel, Daniel Bushey, Abhi Aggarwal, et al.. (2020). jYCaMP: an optimized calcium indicator for two-photon imaging at fiber laser wavelengths. Nature Methods. 17(7). 694–697. 47 indexed citations
8.
Lowet, Eric, et al.. (2020). Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex. Neuron. 106(3). 515–525.e5. 40 indexed citations
9.
Chen, Jerry L., et al.. (2019). Cellular resolution imaging of neuronal activity across space and time in the mammalian brain. Current Opinion in Biomedical Engineering. 12. 95–101. 3 indexed citations
10.
Helmchen, Fritjof, Ariel Gilad, & Jerry L. Chen. (2017). Neocortical Dynamics During Whisker-Based Sensory Discrimination in Head-Restrained Mice. Neuroscience. 368. 57–69. 13 indexed citations
11.
Bethge, Philipp, Stefano Carta, Linda Madisen, et al.. (2017). An R-CaMP1.07 reporter mouse for cell-type-specific expression of a sensitive red fluorescent calcium indicator. PLoS ONE. 12(6). e0179460–e0179460. 32 indexed citations
12.
Chen, Jerry L., et al.. (2015). Pathway-specific reorganization of projection neurons in somatosensory cortex during learning. Nature Neuroscience. 18(8). 1101–1108. 110 indexed citations
13.
Chen, Jerry L., Stefano Carta, Joana Soldado-Magraner, Bernard L. Schneider, & Fritjof Helmchen. (2013). Behaviour-dependent recruitment of long-range projection neurons in somatosensory cortex. Nature. 499(7458). 336–340. 234 indexed citations
14.
Chen, Jerry L., et al.. (2013). Online correction of licking‐induced brain motion during two‐photon imaging with a tunable lens. The Journal of Physiology. 591(19). 4689–4698. 39 indexed citations
15.
Chen, Jerry L., Mark L. Andermann, Tara Keck, Ning-long Xu, & Yaniv Ziv. (2013). Imaging Neuronal Populations in Behaving Rodents: Paradigms for Studying Neural Circuits Underlying Behavior in the Mammalian Cortex. Journal of Neuroscience. 33(45). 17631–17640. 46 indexed citations
16.
Chen, Jerry L., et al.. (2012). Clustered Dynamics of Inhibitory Synapses and Dendritic Spines in the Adult Neocortex. Neuron. 74(2). 361–373. 259 indexed citations
17.
Eavri, Ronen, et al.. (2011). CPG15 regulates synapse stability in the developing and adult brain. Genes & Development. 25(24). 2674–2685.
18.
Chen, Jerry L., et al.. (2011). Structural basis for the role of inhibition in facilitating adult brain plasticity. Nature Neuroscience. 14(5). 587–594. 167 indexed citations
19.
Chen, Jerry L. & Elly Nedivi. (2010). Neuronal structural remodeling: is it all about access?. Current Opinion in Neurobiology. 20(5). 557–562. 49 indexed citations
20.
Chen, Jerry L., Virginia B. Penhune, & Robert J. Zatorre. (2008). Listening to Musical Rhythms Recruits Motor Regions of the Brain. Cerebral Cortex. 18(12). 2844–2854. 571 indexed citations breakdown →

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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