Chi Ren

1.2k total citations
24 papers, 678 citations indexed

About

Chi Ren is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Chi Ren has authored 24 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Chi Ren's work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (10 papers) and Photoreceptor and optogenetics research (5 papers). Chi Ren is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (10 papers) and Photoreceptor and optogenetics research (5 papers). Chi Ren collaborates with scholars based in United States, China and Singapore. Chi Ren's co-authors include Takaki Komiyama, Xin Liu, Duygu Kuzum, Haixin Liu, Hiroshi Makino, An Na Kim, Yichen Lu, Ryoma Hattori, Yu Jia and Dehua Chui and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Chi Ren

22 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi Ren United States 12 385 335 140 69 56 24 678
Alexandra Gramowski Germany 10 622 1.6× 236 0.7× 103 0.7× 202 2.9× 15 0.3× 12 879
Jinwoo Park United States 15 548 1.4× 174 0.5× 220 1.6× 32 0.5× 28 0.5× 28 883
György Lür United States 16 591 1.5× 358 1.1× 32 0.2× 45 0.7× 65 1.2× 30 1.2k
Ao Dong China 11 434 1.1× 191 0.6× 59 0.4× 73 1.1× 7 0.1× 18 823
Gavin P. Schmitz United States 7 621 1.6× 186 0.6× 70 0.5× 235 3.4× 13 0.2× 11 893
Jan J. Hirtz Germany 9 442 1.1× 219 0.7× 43 0.3× 86 1.2× 29 0.5× 16 627
Vladan Rankovic Germany 16 607 1.6× 305 0.9× 47 0.3× 70 1.0× 86 1.5× 24 952
Teresa A. Murray United States 15 212 0.6× 53 0.2× 90 0.6× 97 1.4× 14 0.3× 39 603
Srikanta Chowdhury Japan 10 160 0.4× 332 1.0× 52 0.4× 56 0.8× 11 0.2× 17 607
Rifat J. Hussain United States 13 278 0.7× 133 0.4× 36 0.3× 132 1.9× 15 0.3× 16 548

Countries citing papers authored by Chi Ren

Since Specialization
Citations

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

Fields of papers citing papers by Chi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Ren. A scholar is included among the top collaborators of Chi Ren 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 Chi Ren. Chi Ren 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.
Xu, Ying, Yuqiang Bai, Chi Ren, et al.. (2025). The role of lactate in meat beyond pH regulation: A study on lactylation and its effects on meat metabolism. Food Chemistry. 489. 144975–144975.
2.
3.
Ramezani, Mehrdad, Xin Liu, Chi Ren, et al.. (2024). High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings. Nature Nanotechnology. 19(4). 504–513. 37 indexed citations
4.
Hedrick, Nathan G., Chi Ren, James R. Howe, et al.. (2024). Divergent Learning-Related Transcriptional States of Cortical Glutamatergic Neurons. Journal of Neuroscience. 44(10). e0302232023–e0302232023. 1 indexed citations
5.
Wang, Xingzhao, Haiyan Yang, Yu Bao, et al.. (2024). Intravascular delivery of an ultraflexible neural electrode array for recordings of cortical spiking activity. Nature Communications. 15(1). 9442–9442. 8 indexed citations
6.
He, Zhenliang, Jingyi Xie, Yang Zhou, et al.. (2023). An Ultraflexible Electrode Array for Large‐Scale Chronic Recording in the Nonhuman Primate Brain. Advanced Science. 10(33). e2302333–e2302333. 14 indexed citations
7.
Ramezani, Mehrdad, Xin Liu, Chi Ren, Takaki Komiyama, & Duygu Kuzum. (2023). Processing multimodal neural data and decoding neural dynamics using cross-modality inference. 8. 1–4. 2 indexed citations
8.
Ren, Chi, et al.. (2022). Global and subtype-specific modulation of cortical inhibitory neurons regulated by acetylcholine during motor learning. Neuron. 110(14). 2334–2350.e8. 38 indexed citations
9.
Liu, Xin, Chi Ren, Jeong‐Hoon Kim, et al.. (2021). Decoding of cortex-wide brain activity from local recordings of neural potentials. Journal of Neural Engineering. 18(6). 66009–66009. 7 indexed citations
10.
Ren, Chi & Takaki Komiyama. (2021). Characterizing Cortex-Wide Dynamics with Wide-Field Calcium Imaging. Journal of Neuroscience. 41(19). 4160–4168. 53 indexed citations
11.
Ren, Chi & Takaki Komiyama. (2021). Wide-field calcium imaging of cortex-wide activity in awake, head-fixed mice. STAR Protocols. 2(4). 100973–100973. 15 indexed citations
12.
Liu, Xin, Chi Ren, Yichen Lu, et al.. (2021). Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical–hippocampal interactions. Nature Neuroscience. 24(6). 886–896. 43 indexed citations
13.
Lu, Yichen, Ruoyu Zhao, Xin Liu, et al.. (2020). Evaluation of Durability of Transparent Graphene Electrodes Fabricated on Different Flexible Substrates for ChronicIn VivoExperiments. IEEE Transactions on Biomedical Engineering. 67(11). 3203–3210. 17 indexed citations
14.
Zhao, Ruoyu, Xin Liu, Yichen Lu, et al.. (2018). 3D Expandable Microwire Electrode Arrays Made of Programmable Shape Memory Materials. 29.2.1–29.2.4. 3 indexed citations
15.
Lu, Yichen, Xin Liu, Ryoma Hattori, et al.. (2018). Ultralow Impedance Graphene Microelectrodes with High Optical Transparency for Simultaneous Deep Two‐Photon Imaging in Transgenic Mice. Advanced Functional Materials. 28(31). 64 indexed citations
16.
Liu, Xin, Yichen Lu, Chi Ren, et al.. (2017). Transparent artifact-free graphene electrodes for compact closed-loop optogenetics systems. 26.1.1–26.1.4. 6 indexed citations
17.
Makino, Hiroshi, Chi Ren, Haixin Liu, et al.. (2017). Transformation of Cortex-wide Emergent Properties during Motor Learning. Neuron. 94(4). 880–890.e8. 166 indexed citations
18.
Klose, Markus K., Laura B. Duvall, Weihua Li, et al.. (2016). Functional PDF Signaling in the Drosophila Circadian Neural Circuit Is Gated by Ral A-Dependent Modulation. Neuron. 90(4). 781–794. 34 indexed citations
19.
Li, Wěi, Yu Jia, Yong Liu, et al.. (2014). Elevation of brain magnesium prevents synaptic loss and reverses cognitive deficits in Alzheimer’s disease mouse model. Molecular Brain. 7(1). 65–65. 112 indexed citations
20.
Chin, Albert, Chunxiang Zhu, Jun Shao, et al.. (2006). Physical and electrical characteristics of high-κ gate dielectric Hf(1−x)LaxOy. Solid-State Electronics. 50(6). 986–991. 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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