Yueqing Peng

1.8k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Yueqing Peng is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Yueqing Peng has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 6 papers in Sensory Systems. Recurrent topics in Yueqing Peng's work include Neurobiology and Insect Physiology Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Olfactory and Sensory Function Studies (6 papers). Yueqing Peng is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Olfactory and Sensory Function Studies (6 papers). Yueqing Peng collaborates with scholars based in United States, China and United Kingdom. Yueqing Peng's co-authors include Charles S. Zuker, Nicholas J. P. Ryba, Xiaoke Chen, Aike Guo, Mariano I. Gabitto, Ke Zhang, Jian Guo, Hao Jin, Dimitri Tränkner and David A. Yarmolinsky and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Yueqing Peng

23 papers receiving 1.1k citations

Hit Papers

Nocic... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueqing Peng United States 13 610 416 357 275 174 25 1.2k
Xavier Grosmaître France 16 676 1.1× 797 1.9× 553 1.5× 101 0.4× 125 0.7× 29 1.1k
Vikrant Kapoor United States 12 586 1.0× 556 1.3× 247 0.7× 187 0.7× 78 0.4× 13 1.1k
Tobias F. Marton United States 8 574 0.9× 470 1.1× 261 0.7× 83 0.3× 88 0.5× 10 996
Stephen D. Shea United States 15 360 0.6× 235 0.6× 109 0.3× 303 1.1× 100 0.6× 25 1.1k
Ko Kobayakawa Japan 16 842 1.4× 947 2.3× 554 1.6× 220 0.8× 55 0.3× 26 1.5k
Reiko Kobayakawa Japan 14 989 1.6× 1.1k 2.7× 633 1.8× 231 0.8× 55 0.3× 20 1.6k
Nathalie Mandairon France 27 932 1.5× 1.5k 3.7× 471 1.3× 397 1.4× 76 0.4× 55 2.1k
James A. Cherry United States 27 880 1.4× 959 2.3× 548 1.5× 138 0.5× 139 0.8× 71 2.7k
Heather M. Schellinck Canada 18 335 0.5× 409 1.0× 186 0.5× 109 0.4× 67 0.4× 27 769
Christine Baly France 18 261 0.4× 612 1.5× 494 1.4× 99 0.4× 97 0.6× 28 1.4k

Countries citing papers authored by Yueqing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yueqing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueqing Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yueqing Peng. A scholar is included among the top collaborators of Yueqing Peng 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 Yueqing Peng. Yueqing Peng 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.
Zhi, Xiaofei, Ermanno Malagola, Biyun Zheng, et al.. (2025). Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axis. Nature. 640(8059). 802–810. 29 indexed citations breakdown →
2.
Turi, Gergely F., et al.. (2025). Serotonin modulates infraslow oscillation in the dentate gyrus during non-REM sleep. eLife. 13. 1 indexed citations
3.
Teng, Sasa, et al.. (2024). Expression of GCaMP6s in the dentate gyrus induces tonic–clonic seizures. Scientific Reports. 14(1). 8104–8104. 2 indexed citations
4.
Turi, Gergely F., et al.. (2024). Serotonin modulates infraslow oscillation in the dentate gyrus during non-REM sleep. eLife. 13. 5 indexed citations
5.
Colombo, Sophie, Sabrina Petri, Damian J. Williams, et al.. (2023). Epilepsy in a mouse model of GNB1 encephalopathy arises from altered potassium (GIRK) channel signaling and is alleviated by a GIRK inhibitor. Frontiers in Cellular Neuroscience. 17. 1175895–1175895. 7 indexed citations
6.
Dugger, Sarah A., Ryan S. Dhindsa, Gabriela Louise de Almeida Sampaio, et al.. (2023). Neurodevelopmental deficits and cell-type-specific transcriptomic perturbations in a mouse model of HNRNPU haploinsufficiency. PLoS Genetics. 19(10). e1010952–e1010952. 6 indexed citations
7.
Teng, Sasa & Yueqing Peng. (2023). Simultaneous Microendoscopic Calcium Imaging and EEG Recording of Mouse Brain during Sleep. BIO-PROTOCOL. 13(9). e4664–e4664. 1 indexed citations
8.
Turi, Gergely F., et al.. (2023). 0043 Modulation of ultra-slow calcium oscillation in the dentate gyrus during Non-REM sleep. SLEEP. 46(Supplement_1). A20–A20.
9.
Teng, Sasa, et al.. (2022). Sensory regulation of absence seizures in a mouse model of Gnb1 encephalopathy. iScience. 25(11). 105488–105488. 4 indexed citations
10.
Teng, Sasa, et al.. (2022). Control of non-REM sleep by ventrolateral medulla glutamatergic neurons projecting to the preoptic area. Nature Communications. 13(1). 4748–4748. 17 indexed citations
11.
Shore, Amy N., Sophie Colombo, Sabrina Petri, et al.. (2020). Reduced GABAergic Neuron Excitability, Altered Synaptic Connectivity, and Seizures in a KCNT1 Gain-of-Function Mouse Model of Childhood Epilepsy. Cell Reports. 33(4). 108303–108303. 44 indexed citations
12.
Yarmolinsky, David A., Yueqing Peng, Leah Pogorzala, et al.. (2016). Coding and Plasticity in the Mammalian Thermosensory System. Neuron. 92(5). 1079–1092. 127 indexed citations
13.
Guo, Aike, Ke Zhang, Yueqing Peng, & Xi Wang. (2009). Heisenberg's Roadmap Guides our Journey to the Small Cognitive World ofDrosophila. Journal of Neurogenetics. 23(1-2). 100–103. 1 indexed citations
14.
Wang, Xi, Yueqing Peng, Yizhou Ye, et al.. (2008). Mushroom bodies modulate salience‐based selective fixation behavior in Drosophila. European Journal of Neuroscience. 27(6). 1441–1451. 44 indexed citations
15.
Fang, Jian‐an, et al.. (2008). Impact of network topology on decision-making. Neural Networks. 22(1). 30–40. 8 indexed citations
16.
Zhang, Ke, et al.. (2007). Dopamine-Mushroom Body Circuit Regulates Saliency-Based Decision-Making in Drosophila. Science. 316(5833). 1901–1904. 148 indexed citations
17.
Peng, Yueqing, Xi Wang, Wei Zhang, Ke Zhang, & Aike Guo. (2007). Experience Improves Feature Extraction inDrosophila. Journal of Neuroscience. 27(19). 5139–5145. 27 indexed citations
18.
Peng, Yueqing & Aike Guo. (2007). Novel stimulus‐induced calcium efflux in Drosophila mushroom bodies. European Journal of Neuroscience. 25(7). 2034–2044. 8 indexed citations
19.
Cang, Chunlei, et al.. (2006). Thermal nociception in adult Drosophila: behavioral characterization and the role of the painless gene. Genes Brain & Behavior. 5(8). 602–613. 70 indexed citations
20.
Ye, Yizhou, Xi Wang, Yueqing Peng, Yizheng Wang, & Aike Guo. (2004). Long‐term but not short‐term blockade of dopamine release in Drosophila impairs orientation during flight in a visual attention paradigm. European Journal of Neuroscience. 20(4). 1001–1007. 22 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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