Jianli Sun

528 total citations
19 papers, 371 citations indexed

About

Jianli Sun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jianli Sun has authored 19 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Jianli Sun's work include Neuroscience and Neuropharmacology Research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers) and RNA modifications and cancer (5 papers). Jianli Sun is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurogenetic and Muscular Disorders Research (6 papers) and RNA modifications and cancer (5 papers). Jianli Sun collaborates with scholars based in United States, China and United Kingdom. Jianli Sun's co-authors include Suzanne M. Moenter, Jaideep Kapur, Zhiguo Chu, Melissa A. Harrington, Yi Dong, Yingmei Fu, Ping Zheng, Kimberle M. Jacobs, Yanhua Zhu and Feng‐Yan Sun and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.

In The Last Decade

Jianli Sun

19 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianli Sun United States 12 182 168 59 50 46 19 371
Rachel Y. Cheong Sweden 13 143 0.8× 123 0.7× 130 2.2× 105 2.1× 70 1.5× 24 429
Tom Verhovshek United States 12 105 0.6× 161 1.0× 91 1.5× 35 0.7× 45 1.0× 13 363
James Dell’Orco United States 9 287 1.6× 295 1.8× 69 1.2× 35 0.7× 18 0.4× 9 533
Alison R. Weiss United States 11 104 0.6× 128 0.8× 16 0.3× 58 1.2× 23 0.5× 29 350
E. G. Stopa United States 8 68 0.4× 108 0.6× 167 2.8× 39 0.8× 59 1.3× 14 471
Hannah Loke Australia 6 93 0.5× 62 0.4× 25 0.4× 73 1.5× 28 0.6× 7 360
Elizabeth A. Lovejoy United Kingdom 6 227 1.2× 266 1.6× 7 0.1× 112 2.2× 38 0.8× 6 564
Lily R. Qiu Canada 13 186 1.0× 66 0.4× 12 0.2× 186 3.7× 47 1.0× 19 506
Kumiko Suyama Japan 11 110 0.6× 148 0.9× 46 0.8× 31 0.6× 69 1.5× 17 324
Margaret Czesak Canada 9 197 1.1× 278 1.7× 12 0.2× 81 1.6× 61 1.3× 11 568

Countries citing papers authored by Jianli Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jianli Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianli Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jianli Sun. A scholar is included among the top collaborators of Jianli Sun 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 Jianli Sun. Jianli Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hekmatyar, Khan, et al.. (2025). From Circuits to Lifespan: Translating Mouse and Human Timelines with Neuroimaging-Based Tractography. Journal of Neuroscience. 45(12). e1429242025–e1429242025. 5 indexed citations
2.
Dowling, Maura, Lingling Kong, Christine J. Charvet, et al.. (2025). Cerebellar defects are a primary pathology in mouse models of spinal muscular atrophy. Brain Pathology. 35(6). e70025–e70025. 1 indexed citations
3.
Harrington, Melissa A., et al.. (2024). No significant sex differences in incidence or phenotype for the SMNΔ7 mouse model of spinal muscular atrophy. Neuromuscular Disorders. 37. 13–22. 1 indexed citations
4.
Sun, Jianli, et al.. (2023). Sex Difference in Spinal Muscular Atrophy Patients – are Males More Vulnerable?. Journal of Neuromuscular Diseases. 10(5). 847–867. 16 indexed citations
5.
Harrington, Melissa A., et al.. (2023). Cerebellar structural, astrocytic, and neuronal abnormalities in the SMNΔ7 mouse model of spinal muscular atrophy. Brain Pathology. 33(5). e13162–e13162. 7 indexed citations
6.
Sun, Jianli, et al.. (2023). Concussive Head Trauma Deranges Axon Initial Segment Function in Axotomized and Intact Layer 5 Pyramidal Neurons. Journal of Neurotrauma. 41(1-2). 244–270. 2 indexed citations
7.
Charvet, Christine J., Jianli Sun, Melinda S. Modrell, et al.. (2022). Tracing Modification to Cortical Circuits in Human and Nonhuman Primates from High-Resolution Tractography, Transcription, and Temporal Dimensions. Journal of Neuroscience. 42(18). 3749–3767. 7 indexed citations
8.
Wooltorton, Julian R. A., et al.. (2020). Functional Abnormalities of Cerebellum and Motor Cortex in Spinal Muscular Atrophy Mice. Neuroscience. 452. 78–97. 11 indexed citations
9.
Sun, Jianli & Melissa A. Harrington. (2019). The Alteration of Intrinsic Excitability and Synaptic Transmission in Lumbar Spinal Motor Neurons and Interneurons of Severe Spinal Muscular Atrophy Mice. Frontiers in Cellular Neuroscience. 13. 15–15. 11 indexed citations
10.
Lombardo, Joseph S., Jianli Sun, & Melissa A. Harrington. (2018). Rapid activity-dependent modulation of the intrinsic excitability through up-regulation of KCNQ/Kv7 channel function in neonatal spinal motoneurons. PLoS ONE. 13(3). e0193948–e0193948. 14 indexed citations
11.
Sun, Jianli, et al.. (2017). Mild Traumatic Brain Injury Evokes Pyramidal Neuron Axon Initial Segment Plasticity and Diffuse Presynaptic Inhibitory Terminal Loss. Frontiers in Cellular Neuroscience. 11. 157–157. 28 indexed citations
12.
Sun, Jianli & Kimberle M. Jacobs. (2016). Knockout of Cyclophilin-D Provides Partial Amelioration of Intrinsic and Synaptic Properties Altered by Mild Traumatic Brain Injury. Frontiers in Systems Neuroscience. 10. 63–63. 11 indexed citations
13.
Sun, Chengsan, Jianli Sun, Alev Erişir, & Jaideep Kapur. (2013). Loss of cholecystokinin-containing terminals in temporal lobe epilepsy. Neurobiology of Disease. 62. 44–55. 26 indexed citations
14.
Sun, Jianli & Jaideep Kapur. (2012). M‐type potassium channels modulate Schaffer collateral–CA1 glutamatergic synaptic transmission. The Journal of Physiology. 590(16). 3953–3964. 42 indexed citations
15.
Sun, Jianli, Zhiguo Chu, & Suzanne M. Moenter. (2010). DiurnalIn Vivoand RapidIn VitroEffects of Estradiol on Voltage-Gated Calcium Channels in Gonadotropin-Releasing Hormone Neurons. Journal of Neuroscience. 30(11). 3912–3923. 72 indexed citations
16.
17.
Fu, Yingmei, Zemin Wang, Yanhua Zhu, et al.. (2006). Neurosteroid dehydroepiandrosterone sulfate enhances spontaneous glutamate release in rat prelimbic cortex through activation of dopamine D1 and sigma-1 receptor. Neuropharmacology. 52(3). 966–974. 55 indexed citations
18.
Dong, Yi, Yingmei Fu, Jianli Sun, et al.. (2005). Neurosteroid enhances glutamate release in rat prelimbic cortex via activation of α1-adrenergic and σ1 receptors. Cellular and Molecular Life Sciences. 62(9). 1003–1014. 30 indexed citations
19.
Feng, Xuequan, Yi Dong, Yingmei Fu, et al.. (2003). Progesterone inhibition of dopamine-induced increase in frequency of spontaneous excitatory postsynaptic currents in rat prelimbic cortical neurons. Neuropharmacology. 46(2). 211–222. 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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