Jianren Song

1.4k total citations
24 papers, 970 citations indexed

About

Jianren Song is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jianren Song has authored 24 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Jianren Song's work include Zebrafish Biomedical Research Applications (15 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Jianren Song is often cited by papers focused on Zebrafish Biomedical Research Applications (15 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Jianren Song collaborates with scholars based in China, Sweden and United States. Jianren Song's co-authors include Abdeljabbar El Manira, Konstantinos Ampatzis, Hind Abdo, Dmitry Usoskin, Patrik Ernfors, José A. Martínez‐López, Igor Adameyko, Laura Calvo-Enrique, Ming-Dong Zhang and Jens Hjerling‐Leffler and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jianren Song

22 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianren Song China 14 404 369 269 179 147 24 970
Carmelo Bellardita Sweden 9 338 0.8× 274 0.7× 137 0.5× 239 1.3× 76 0.5× 12 859
Konstantinos Ampatzis Sweden 18 346 0.9× 559 1.5× 247 0.9× 173 1.0× 67 0.5× 28 976
Raúl E. Russo Uruguay 19 695 1.7× 214 0.6× 327 1.2× 207 1.2× 273 1.9× 37 1.1k
Floor J. Stam United States 11 501 1.2× 172 0.5× 341 1.3× 183 1.0× 111 0.8× 11 937
Édouard Pearlstein France 14 533 1.3× 330 0.9× 169 0.6× 199 1.1× 55 0.4× 23 885
Lotta Borgius Sweden 16 637 1.6× 494 1.3× 398 1.5× 307 1.7× 277 1.9× 17 1.5k
B. Anne Bannatyne United Kingdom 17 405 1.0× 200 0.5× 127 0.5× 217 1.2× 178 1.2× 26 819
Laskaro Zagoraiou Greece 15 382 0.9× 427 1.2× 502 1.9× 169 0.9× 55 0.4× 20 1.2k
Jean‐François Pflieger Canada 15 366 0.9× 257 0.7× 165 0.6× 87 0.5× 75 0.5× 25 738
Anupama Sathyamurthy United States 16 446 1.1× 138 0.4× 532 2.0× 79 0.4× 182 1.2× 23 1.1k

Countries citing papers authored by Jianren Song

Since Specialization
Citations

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

Fields of papers citing papers by Jianren Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianren Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jianren Song. A scholar is included among the top collaborators of Jianren Song 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 Jianren Song. Jianren Song 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.
Zhang, Huixian, et al.. (2025). Integrated single-cell atlases unveil the operation principles of whole-brain 5-HT neuronal subsystems. Science Advances. 11(50). eadv8128–eadv8128.
2.
Xu, Lulu, Bing Zhu, Zhiqiang Zhu, et al.. (2025). Separate brainstem circuits for fast steering and slow exploratory turns. Nature Communications. 16(1). 3207–3207. 1 indexed citations
3.
Huang, Chunxiao, et al.. (2024). Serotonergic modulation of vigilance states in zebrafish and mice. Nature Communications. 15(1). 2596–2596. 9 indexed citations
4.
Huang, Chunxiao, et al.. (2022). De novo establishment of circuit modules restores locomotion after spinal cord injury in adult zebrafish. Cell Reports. 41(4). 111535–111535. 11 indexed citations
5.
Li, Wanrong, et al.. (2022). Shared nociceptive dorsal root ganglion neurons participating in acupoint sensitization. Frontiers in Molecular Neuroscience. 15. 974007–974007. 9 indexed citations
6.
Duan, Hongmei, Fei Hao, Peng Hao, et al.. (2022). Circuit reconstruction of newborn neurons after spinal cord injury in adult rats via an NT3-chitosan scaffold. Progress in Neurobiology. 220. 102375–102375. 25 indexed citations
7.
Huang, Chunxiao, et al.. (2021). An injury-induced serotonergic neuron subpopulation contributes to axon regrowth and function restoration after spinal cord injury in zebrafish. Nature Communications. 12(1). 7093–7093. 38 indexed citations
8.
Xu, Lulu, et al.. (2021). A neuronal circuit that generates the temporal motor sequence for the defensive response in zebrafish larvae. Current Biology. 31(15). 3343–3357.e4. 12 indexed citations
9.
Song, Jianren, et al.. (2020). Multiple Rhythm-Generating Circuits Act in Tandem with Pacemaker Properties to Control the Start and Speed of Locomotion. Neuron. 105(6). 1048–1061.e4. 45 indexed citations
10.
Picton, Laurence D., et al.. (2019). Diversity of neurons and circuits controlling the speed and coordination of locomotion. Current Opinion in Physiology. 8. 170–176. 5 indexed citations
11.
Abdo, Hind, Laura Calvo-Enrique, José A. Martínez‐López, et al.. (2019). Specialized cutaneous Schwann cells initiate pain sensation. Science. 365(6454). 695–699. 225 indexed citations
12.
Ma, Lin, Yiran Wang, Yi Hui, et al.. (2019). WNT/NOTCH Pathway Is Essential for the Maintenance and Expansion of Human MGE Progenitors. Stem Cell Reports. 12(5). 934–949. 20 indexed citations
13.
Song, Jianren, et al.. (2018). V2a interneuron diversity tailors spinal circuit organization to control the vigor of locomotor movements. Nature Communications. 9(1). 3370–3370. 47 indexed citations
14.
Huang, Chao, Huifang Wang, Jianren Song, et al.. (2017). Multiple H+ sensors mediate the extracellular acidification-induced [Ca2+]i elevation in cultured rat ventricular cardiomyocytes. Scientific Reports. 7(1). 44951–44951. 18 indexed citations
15.
Song, Jianren, et al.. (2016). A Hardwired Circuit Supplemented with Endocannabinoids Encodes Behavioral Choice in Zebrafish. Current Biology. 26(1). 137–137. 1 indexed citations
16.
Song, Jianren, et al.. (2016). Motor neurons control locomotor circuit function retrogradely via gap junctions. Nature. 529(7586). 399–402. 103 indexed citations
17.
Song, Jianren, et al.. (2015). A Hardwired Circuit Supplemented with Endocannabinoids Encodes Behavioral Choice in Zebrafish. Current Biology. 25(20). 2610–2620. 28 indexed citations
18.
Ampatzis, Konstantinos, et al.. (2014). Separate Microcircuit Modules of Distinct V2a Interneurons and Motoneurons Control the Speed of Locomotion. Neuron. 83(4). 934–943. 132 indexed citations
19.
Ampatzis, Konstantinos, et al.. (2013). Pattern of Innervation and Recruitment of Different Classes of Motoneurons in Adult Zebrafish. Journal of Neuroscience. 33(26). 10875–10886. 76 indexed citations
20.
Huang, Chao, Wen‐Ning Wu, Qiuju Xiong, et al.. (2010). Existence and distinction of acid‐evoked currents in rat astrocytes. Glia. 58(12). 1415–1424. 115 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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