Wei L. Shen

2.2k total citations
30 papers, 1.4k citations indexed

About

Wei L. Shen is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Wei L. Shen has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrine and Autonomic Systems, 13 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Wei L. Shen's work include Neurobiology and Insect Physiology Research (7 papers), Adipose Tissue and Metabolism (7 papers) and Neuroendocrine regulation and behavior (7 papers). Wei L. Shen is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Adipose Tissue and Metabolism (7 papers) and Neuroendocrine regulation and behavior (7 papers). Wei L. Shen collaborates with scholars based in China, United States and Singapore. Wei L. Shen's co-authors include Craig Montell, Junjie Luo, Young V. Kwon, Zhengdong Zhao, Xinyan Ni, Andrew Chess, Abidemi Adegbola, Xin Fu, Ji Hu and Xiaohong Xu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Wei L. Shen

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei L. Shen China 17 668 441 263 225 215 30 1.4k
Michaela Egertová United Kingdom 24 1.1k 1.7× 393 0.9× 308 1.2× 269 1.2× 302 1.4× 41 2.3k
Katsushige Sato Japan 23 1.1k 1.6× 302 0.7× 412 1.6× 90 0.4× 318 1.5× 103 1.6k
Davide Dulcis United States 19 728 1.1× 276 0.6× 206 0.8× 60 0.3× 307 1.4× 28 1.2k
Bernard Possidente United States 23 480 0.7× 593 1.3× 216 0.8× 294 1.3× 334 1.6× 50 1.6k
Lisa C. Lyons United States 23 676 1.0× 895 2.0× 435 1.7× 162 0.7× 217 1.0× 48 1.5k
Rozi Andretić Waldowski United States 13 776 1.2× 550 1.2× 326 1.2× 78 0.3× 155 0.7× 19 1.2k
Gordon M. Shepherd United States 8 473 0.7× 273 0.6× 251 1.0× 238 1.1× 378 1.8× 8 1.1k
H. Inagaki United States 20 1.3k 2.0× 182 0.4× 780 3.0× 165 0.7× 248 1.2× 39 2.3k
Douglas J. Guarnieri United States 20 450 0.7× 641 1.5× 364 1.4× 266 1.2× 419 1.9× 22 1.5k
Giles E. Duffield United States 24 635 1.0× 1.3k 2.9× 206 0.8× 512 2.3× 301 1.4× 46 2.1k

Countries citing papers authored by Wei L. Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wei L. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei L. Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Wei L. Shen. A scholar is included among the top collaborators of Wei L. Shen 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 Wei L. Shen. Wei L. Shen 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.
Li, Xiaoting, Lijie Wu, Junlin Liu, et al.. (2025). Structural basis of oligomerization-modulated activation and autoinhibition of orphan receptor GPR3. Cell Reports. 44(4). 115478–115478. 4 indexed citations
2.
Lin, Wei, Yu Tang, Jie Zhou, et al.. (2023). Sustained remission of type 2 diabetes in rodents by centrally administered fibroblast growth factor 4. Cell Metabolism. 35(6). 1022–1037.e6. 19 indexed citations
3.
Zhao, Zhengdong, Xinkuan Xiang, Daesoo Kim, et al.. (2023). Neurocircuitry of Predatory Hunting. Neuroscience Bulletin. 39(5). 817–831. 5 indexed citations
4.
5.
Zeng, Wenwen, Fan Yang, Wei L. Shen, et al.. (2022). Interactions between central nervous system and peripheral metabolic organs. Science China Life Sciences. 65(10). 1929–1958. 48 indexed citations
6.
Chen, Hui, Dan Xu, Yu Zhang, et al.. (2021). Neurons in the Locus Coeruleus Modulate the Hedonic Effects of Sub-Anesthetic Dose of Propofol. Frontiers in Neuroscience. 15. 636901–636901. 8 indexed citations
7.
Xu, Yanhong, Shiqiao Peng, Xinyu Cao, et al.. (2021). High doses of butyrate induce a reversible body temperature drop through transient proton leak in mitochondria of brain neurons. Life Sciences. 278. 119614–119614. 9 indexed citations
8.
Yu, Hong, Xinkuan Xiang, Zongming Chen, et al.. (2021). Periaqueductal gray neurons encode the sequential motor program in hunting behavior of mice. Nature Communications. 12(1). 6523–6523. 31 indexed citations
9.
Wei, Xiao, Zhuolei Jiao, Jiwei Yao, et al.. (2021). Neural circuit control of innate behaviors. Science China Life Sciences. 65(3). 466–499. 20 indexed citations
10.
Yang, Wen Z., Cuicui Gao, Hengchang Xie, et al.. (2020). Parabrachial neuron types categorically encode thermoregulation variables during heat defense. Science Advances. 6(36). 47 indexed citations
11.
Yuan, Yuan, Wéi Wú, Ming Chen, et al.. (2019). Reward Inhibits Paraventricular CRH Neurons to Relieve Stress. Current Biology. 29(7). 1243–1251.e4. 108 indexed citations
12.
Shang, Congping, Aixue Liu, Dapeng Li, et al.. (2019). A subcortical excitatory circuit for sensory-triggered predatory hunting in mice. Nature Neuroscience. 22(6). 909–920. 103 indexed citations
13.
Zhao, Zhengdong, Zongming Chen, Xinkuan Xiang, et al.. (2019). Zona incerta GABAergic neurons integrate prey-related sensory signals and induce an appetitive drive to promote hunting. Nature Neuroscience. 22(6). 921–932. 111 indexed citations
14.
Yang, Zhe, Rui Huang, Xin Fu, et al.. (2018). A post-ingestive amino acid sensor promotes food consumption in Drosophila. Cell Research. 28(10). 1013–1025. 74 indexed citations
15.
Zhao, Zhengdong, Wen Z. Yang, Cuicui Gao, et al.. (2017). A hypothalamic circuit that controls body temperature. Proceedings of the National Academy of Sciences. 114(8). 2042–2047. 228 indexed citations
16.
Zhang, Xueying, et al.. (2016). A Maternal Low-Fiber Diet Predisposes Offspring to Improved Metabolic Phenotypes in Adulthood in an Herbivorous Rodent. Physiological and Biochemical Zoology. 90(1). 75–84. 19 indexed citations
17.
Shen, Wei L., et al.. (2014). Maternal dietary protein supplement confers long-term sex-specific beneficial consequences of obesity resistance and glucose tolerance to the offspring in Brandt's voles. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 182. 38–44. 5 indexed citations
18.
Zhang, Yali V., et al.. (2013). Food experience–induced taste desensitization modulated by the Drosophila TRPL channel. Nature Neuroscience. 16(10). 1468–1476. 72 indexed citations
19.
Shen, Wei L., Young V. Kwon, Abidemi Adegbola, et al.. (2011). Function of Rhodopsin in Temperature Discrimination in Drosophila. Science. 331(6022). 1333–1336. 184 indexed citations
20.
Kwon, Young V., et al.. (2010). Fine Thermotactic Discrimination between the Optimal and Slightly Cooler Temperatures via a TRPV Channel in Chordotonal Neurons. Journal of Neuroscience. 30(31). 10465–10471. 88 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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