Qi Yuan

3.1k total citations · 1 hit paper
83 papers, 2.2k citations indexed

About

Qi Yuan is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Qi Yuan has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cellular and Molecular Neuroscience, 39 papers in Sensory Systems and 32 papers in Molecular Biology. Recurrent topics in Qi Yuan's work include Olfactory and Sensory Function Studies (39 papers), Neuroscience and Neuropharmacology Research (30 papers) and Memory and Neural Mechanisms (20 papers). Qi Yuan is often cited by papers focused on Olfactory and Sensory Function Studies (39 papers), Neuroscience and Neuropharmacology Research (30 papers) and Memory and Neural Mechanisms (20 papers). Qi Yuan collaborates with scholars based in Canada, United States and Japan. Qi Yuan's co-authors include Carolyn W. Harley, Andrew R. Marks, John H. McLean, Gaetano Santulli, Ran Zalk, Steven Reiken, Thomas Knöpfel, Andrea Darby‐King, Haikel Dridi and Brent W. Osborne and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Qi Yuan

80 papers receiving 2.2k citations

Hit Papers

Structural Basis for Gati... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Yuan Canada 23 915 745 610 528 289 83 2.2k
Carol J. Milligan United Kingdom 24 1.0k 1.1× 693 0.9× 338 0.6× 288 0.5× 95 0.3× 40 2.2k
Durga P. Mohapatra United States 32 2.2k 2.4× 1.8k 2.4× 769 1.3× 718 1.4× 228 0.8× 50 4.0k
Luba Krapivinsky United States 20 2.2k 2.4× 1.4k 1.8× 638 1.0× 708 1.3× 112 0.4× 21 3.6k
François Maingret France 15 1.8k 1.9× 1.2k 1.6× 497 0.8× 418 0.8× 158 0.5× 19 2.5k
Masumi Inoue Japan 22 1.4k 1.5× 1.3k 1.7× 162 0.3× 176 0.3× 196 0.7× 86 2.0k
Francisco J. Monje Austria 23 753 0.8× 579 0.8× 143 0.2× 217 0.4× 221 0.8× 49 1.7k
Marc Borsotto France 30 2.2k 2.4× 1.5k 2.0× 346 0.6× 577 1.1× 90 0.3× 57 3.2k
Martin Wallner United States 30 2.7k 3.0× 2.6k 3.5× 148 0.2× 1.0k 2.0× 443 1.5× 45 4.0k
Ľubica Lacinová Slovakia 26 2.2k 2.4× 1.6k 2.1× 164 0.3× 745 1.4× 157 0.5× 96 2.9k

Countries citing papers authored by Qi Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Yuan. A scholar is included among the top collaborators of Qi Yuan 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 Qi Yuan. Qi Yuan 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.
Janes, Amy C., et al.. (2025). Targeting early tau pathology: probiotic diet enhances cognitive function and reduces inflammation in a preclinical Alzheimer’s model. Alzheimer s Research & Therapy. 17(1). 24–24. 11 indexed citations
2.
Yuan, Qi, et al.. (2025). Shifting focus to preclinical stages: Locus coeruleus tau pathology as a driver and therapeutic target in Alzheimer’s disease. Neural Regeneration Research. 21(6). 2335–2336. 1 indexed citations
3.
Miotto, Marco, Steve Reiken, Anetta Wronska, et al.. (2024). Structural basis for ryanodine receptor type 2 leak in heart failure and arrhythmogenic disorders. Nature Communications. 15(1). 8080–8080. 11 indexed citations
4.
Rajani, Vishaal, et al.. (2024). Hippocampal hyperphosphorylated tau-induced deficiency is rescued by L-type calcium channel blockade. Brain Communications. 6(2). fcae096–fcae096. 1 indexed citations
5.
Yuan, Qi, et al.. (2024). The ventral hippocampus is activated in olfactory but not auditory threat memory. Frontiers in Neural Circuits. 18. 1371130–1371130. 2 indexed citations
6.
Dridi, Haikel, Yang Liu, Steve Reiken, et al.. (2023). Heart failure-induced cognitive dysfunction is mediated by intracellular Ca2+ leak through ryanodine receptor type 2. Nature Neuroscience. 26(8). 1365–1378. 33 indexed citations
7.
Rajani, Vishaal, et al.. (2023). Olfactory threat extinction in the piriform cortex: An age-dependent employment of NMDA receptor-dependent long-term depression. Proceedings of the National Academy of Sciences. 120(44). e2309986120–e2309986120. 2 indexed citations
8.
Miotto, Marco, Haikel Dridi, Qi Yuan, et al.. (2022). Structural analyses of human ryanodine receptor type 2 channels reveal the mechanisms for sudden cardiac death and treatment. Science Advances. 8(29). eabo1272–eabo1272. 37 indexed citations
9.
Ghosh, Sourav, Vishaal Rajani, Kwun Nok Mimi Man, et al.. (2022). Aging differentially affects LTCC function in hippocampal CA1 and piriform cortex pyramidal neurons. Cerebral Cortex. 33(4). 1489–1503. 9 indexed citations
10.
Du, Qiang, Ruofei Yu, Yan Dong, et al.. (2018). Significance of tumor‐associated autoantibodies in the early diagnosis of lung cancer. The Clinical Respiratory Journal. 12(6). 2020–2028. 35 indexed citations
11.
Yuan, Qi, et al.. (2018). Spontaneous recovery and time course of biological motion adaptation. Vision Research. 149. 40–46. 3 indexed citations
12.
Santulli, Gaetano, et al.. (2017). Intracellular calcium release channels: an update. The Journal of Physiology. 595(10). 3041–3051. 167 indexed citations
13.
Doré, Jules J.E., et al.. (2017). Histone deacetylase inhibition induces odor preference memory extension and maintains enhanced AMPA receptor expression in the rat pup model. Learning & Memory. 24(10). 543–551. 10 indexed citations
14.
Yuan, Qi, Jingyi Yang, Gaetano Santulli, et al.. (2016). Maintenance of normal blood pressure is dependent on IP3R1-mediated regulation of eNOS. Proceedings of the National Academy of Sciences. 113(30). 8532–8537. 53 indexed citations
16.
Fontaine, Christine J., et al.. (2014). Unlearning: NMDA Receptor-Mediated Metaplasticity in the Anterior Piriform Cortex Following Early Odor Preference Training in Rats. Journal of Neuroscience. 34(15). 5143–5151. 14 indexed citations
17.
Marrone, Diano F., et al.. (2014). Visualizing the Engram: Learning Stabilizes Odor Representations in the Olfactory Network. Journal of Neuroscience. 34(46). 15394–15401. 19 indexed citations
19.
Yuan, Qi & Thomas Knöpfel. (2006). Olfactory Nerve Stimulation-Evoked mGluR1 Slow Potentials, Oscillations, and Calcium Signaling in Mouse Olfactory Bulb Mitral Cells. Journal of Neurophysiology. 95(5). 3097–3104. 26 indexed citations
20.
Yuan, Qi, Carolyn W. Harley, & John H. McLean. (2003). Mitral Cell β1 and 5-HT2A Receptor Colocalization and cAMP Coregulation: A New Model of Norepinephrine-Induced Learning in the Olfactory Bulb. Learning & Memory. 10(1). 5–15. 85 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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