Yuanming Liu

2.5k total citations
22 papers, 604 citations indexed

About

Yuanming Liu is a scholar working on Cognitive Neuroscience, Plant Science and Molecular Biology. According to data from OpenAlex, Yuanming Liu has authored 22 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Plant Science and 5 papers in Molecular Biology. Recurrent topics in Yuanming Liu's work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Bioenergy crop production and management (4 papers). Yuanming Liu is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Bioenergy crop production and management (4 papers). Yuanming Liu collaborates with scholars based in China, United States and Australia. Yuanming Liu's co-authors include Hong Luo, Hai‐Chun Jing, Xiao‐Yuan Wu, Daming Zhu, Huaiqing Hao, D. M. Strayer, Ulf Israelsson, Liping Wang, Zhiquan Liu and Zhigang Li and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Yuanming Liu

20 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanming Liu China 12 265 202 119 116 113 22 604
Yoichi Ogawa Japan 16 548 2.1× 911 4.5× 80 0.7× 45 0.4× 116 1.0× 50 1.3k
Eric D. Brenner United States 15 660 2.5× 278 1.4× 95 0.8× 64 0.6× 83 0.7× 24 1.0k
Jun Zhuang United States 15 331 1.2× 441 2.2× 344 2.9× 97 0.8× 261 2.3× 27 967
Shun Yamaguchi Japan 7 20 0.1× 239 1.2× 47 0.4× 27 0.2× 233 2.1× 13 469
Christophe Fischer Belgium 13 55 0.2× 314 1.6× 45 0.4× 137 1.2× 302 2.7× 30 764
Kathleen M. Franklin United States 10 302 1.1× 129 0.6× 101 0.8× 25 0.2× 58 0.5× 15 598
Suzanne M. Royer United States 18 289 1.1× 509 2.5× 32 0.3× 62 0.5× 207 1.8× 31 981
Dragana Rogulja United States 15 100 0.4× 635 3.1× 184 1.5× 289 2.5× 423 3.7× 17 1.4k
Rainer Stahlberg United States 14 715 2.7× 153 0.8× 10 0.1× 15 0.1× 148 1.3× 25 803
Carmen Falcone United States 14 21 0.1× 114 0.6× 73 0.6× 89 0.8× 99 0.9× 26 587

Countries citing papers authored by Yuanming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanming Liu. A scholar is included among the top collaborators of Yuanming Liu 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 Yuanming Liu. Yuanming Liu 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.
Liu, Yuanming, Chen Chen, Lü Yang, et al.. (2025). Co-Conservation of synaptic gene expression and circuitry in collicular neurons. Nature Communications. 16(1). 9146–9146.
2.
Han, Chuanliang, Hao Zhong, Kang Huang, et al.. (2025). Neural circuit underlying individual differences in visual escape habituation. Neuron. 113(14). 2344–2357.e5. 1 indexed citations
3.
Chen, Chen, Yuanming Liu, & Jianhua Cang. (2025). Accessing genetically defined cell types in the superior colliculus with transgenic mouse lines. iScience. 28(4). 112194–112194. 1 indexed citations
4.
5.
Cang, Jianhua, et al.. (2024). Genetically defined neuron types underlying visuomotor transformation in the superior colliculus. Nature reviews. Neuroscience. 25(11). 726–739. 8 indexed citations
6.
Zhang, Hong, Yuanming Liu, Xiangyu Zhang, Wanquan Ji, & Zhensheng Kang. (2023). A necessary considering factor for breeding: growth-defense tradeoff in plants. SHILAP Revista de lepidopterología. 3(1). 6–6. 20 indexed citations
7.
Liu, Yuanming, Élise Savier, Victor J. DePiero, et al.. (2023). Mapping visual functions onto molecular cell types in the mouse superior colliculus. Neuron. 111(12). 1876–1886.e5. 21 indexed citations
8.
Wu, Xiao‐Yuan, Yuanming Liu, Hong Luo, et al.. (2022). Genomic footprints of sorghum domestication and breeding selection for multiple end uses. Molecular Plant. 15(3). 537–551. 30 indexed citations
9.
Liu, Yuanming, Lei Cao, Xuan Wu, et al.. (2022). Functional characterization of wild soybean (Glycine soja) GsSnRK1.1 protein kinase in plant resistance to abiotic stresses. Journal of Plant Physiology. 280. 153881–153881. 11 indexed citations
10.
Tao, Yongfu, Hong Luo, Jiabao Xu, et al.. (2021). Extensive variation within the pan-genome of cultivated and wild sorghum. Nature Plants. 7(6). 766–773. 129 indexed citations
11.
Hao, Huaiqing, Zhigang Li, Cheng Lu, et al.. (2021). Sorghum breeding in the genomic era: opportunities and challenges. Theoretical and Applied Genetics. 134(7). 1899–1924. 81 indexed citations
12.
Liu, Yuanming, Zhonghuang Wang, Xiao‐Yuan Wu, et al.. (2021). SorGSD: updating and expanding the sorghum genome science database with new contents and tools. Biotechnology for Biofuels. 14(1). 165–165. 16 indexed citations
13.
Zhou, Zheng, Xuemei Liu, Zhuogui Lei, et al.. (2020). Glutamatergic and gabaergic neuronal populations in the dorsal Periacqueductual Gray have different functional roles in aversive conditioning. Neuroscience Letters. 732. 135059–135059. 2 indexed citations
14.
Liu, Yuanming, Nguyễn Minh Thủy, Haoran Lu, et al.. (2020). Genome-wide identification and expression analyses of nitrate transporter family genes in wild soybean (Glycine soja). Journal of Applied Genetics. 61(4). 489–501. 23 indexed citations
15.
Zhou, Zheng, Xuemei Liu, Shanping Chen, et al.. (2019). A VTA GABAergic Neural Circuit Mediates Visually Evoked Innate Defensive Responses. Neuron. 103(3). 473–488.e6. 144 indexed citations
16.
Zhou, Zheng, Zhuogui Lei, Xuemei Liu, et al.. (2019). Characterization of glutamatergic VTA neural population responses to aversive and rewarding conditioning in freely-moving mice. Science Bulletin. 64(16). 1167–1178. 18 indexed citations
17.
Zhang, Hang, Yuanming Liu, Chao Chen, et al.. (2018). Identification of novel interactors and potential phosphorylation substrates of GsSnRK1 from wild soybean (Glycine soja). Plant Cell & Environment. 42(1). 145–157. 31 indexed citations
18.
Liu, Xuemei, Chen Chen, Yuanming Liu, et al.. (2018). Gentle Handling Attenuates Innate Defensive Responses to Visual Threats. Frontiers in Behavioral Neuroscience. 12. 239–239. 10 indexed citations
19.
Liu, Liping, et al.. (2017). [Depletion of GP73 inhibits invasion and metastasis of hepatocellular carcinoma cells].. PubMed. 39(7). 497–501. 3 indexed citations
20.
Liu, Yuanming, Daming Zhu, D. M. Strayer, & Ulf Israelsson. (2009). Magnetic levitation of large water droplets and mice. Advances in Space Research. 45(1). 208–213. 48 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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