Longnian Lin

1.8k total citations
37 papers, 1.2k citations indexed

About

Longnian Lin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Longnian Lin has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 25 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Longnian Lin's work include Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (19 papers) and Neural dynamics and brain function (14 papers). Longnian Lin is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (19 papers) and Neural dynamics and brain function (14 papers). Longnian Lin collaborates with scholars based in China, United States and Israel. Longnian Lin's co-authors include Joe Z. Tsien, Remus Oşan, Lu Zhang, Guifen Chen, Jiamin Xu, Zheng Wang, Tingting Zhou, Yang Zhan, Hailan Hu and Fei Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Longnian Lin

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longnian Lin China 17 611 580 217 207 120 37 1.2k
Zijun Chen China 16 456 0.7× 459 0.8× 225 1.0× 129 0.6× 60 0.5× 31 1.1k
Kristen Delevich United States 15 363 0.6× 555 1.0× 212 1.0× 152 0.7× 150 1.3× 27 1.1k
Henry Markram Switzerland 14 1.4k 2.4× 570 1.0× 322 1.5× 199 1.0× 81 0.7× 17 2.1k
Jones G. Parker United States 14 670 1.1× 1.1k 2.0× 452 2.1× 118 0.6× 63 0.5× 19 1.5k
Joseph M. Stujenske United States 8 1.1k 1.7× 883 1.5× 216 1.0× 241 1.2× 233 1.9× 10 1.5k
Patrick L. Tierney United States 10 1.1k 1.8× 1.0k 1.7× 257 1.2× 68 0.3× 76 0.6× 13 1.5k
Laurent Lacroix United Kingdom 18 580 0.9× 1.1k 1.8× 542 2.5× 261 1.3× 306 2.5× 31 1.7k
István Hernádi Hungary 21 865 1.4× 387 0.7× 212 1.0× 137 0.7× 46 0.4× 79 1.7k
Kyriaki Sidiropoulou Greece 19 508 0.8× 766 1.3× 485 2.2× 119 0.6× 109 0.9× 42 1.7k

Countries citing papers authored by Longnian Lin

Since Specialization
Citations

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

Fields of papers citing papers by Longnian Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longnian Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Longnian Lin. A scholar is included among the top collaborators of Longnian Lin 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 Longnian Lin. Longnian Lin 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.
Lin, Longnian, et al.. (2023). Calbindin-Expressing CA1 Pyramidal Neurons Encode Spatial Information More Efficiently. eNeuro. 10(3). ENEURO.0411–22.2023. 2 indexed citations
2.
Wang, Yang, Weihua Pei, Longnian Lin, et al.. (2022). Distributed implantation of a flexible microelectrode array for neural recording. Microsystems & Nanoengineering. 8(1). 50–50. 28 indexed citations
3.
Wu, Mengmeng, et al.. (2021). Overexpression of neuregulin 1 in GABAergic interneurons results in reversible cortical disinhibition. Nature Communications. 12(1). 278–278. 19 indexed citations
4.
Liu, Jun, Longnian Lin, & Dong V. Wang. (2021). Representation of Fear of Heights by Basolateral Amygdala Neurons. Journal of Neuroscience. 41(5). 1080–1091. 12 indexed citations
5.
Wu, Mengmeng, et al.. (2020). Phase Coupled Firing of Prefrontal Parvalbumin Interneuron With High Frequency Oscillations. Frontiers in Cellular Neuroscience. 14. 610741–610741. 8 indexed citations
6.
Ma, Xiaoyu, Yiyao Zhang, Lina Wang, et al.. (2020). The Firing of Theta State-Related Septal Cholinergic Neurons Disrupt Hippocampal Ripple Oscillations via Muscarinic Receptors. Journal of Neuroscience. 40(18). 3591–3603. 43 indexed citations
7.
Lin, Longnian, et al.. (2018). Complex-learning Induced Modifications in Synaptic Inhibition: Mechanisms and Functional Significance. Neuroscience. 381. 105–114. 6 indexed citations
8.
Zhou, Tingting, Hong Zhu, Fei Wang, et al.. (2017). History of winning remodels thalamo-PFC circuit to reinforce social dominance. Science. 357(6347). 162–168. 242 indexed citations
9.
Xu, Jiamin, et al.. (2017). The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach. Scientific Reports. 7(1). 5637–5637. 7 indexed citations
10.
Li, Yiding, Jiamin Xu, Ya‐Feng Liu, et al.. (2017). A distinct entorhinal cortex to hippocampal CA1 direct circuit for olfactory associative learning. Nature Neuroscience. 20(4). 559–570. 137 indexed citations
11.
Tang, Yan, Diego Benusiglio, Valery Grinevich, & Longnian Lin. (2016). Distinct Types of Feeding Related Neurons in Mouse Hypothalamus. Frontiers in Behavioral Neuroscience. 10. 91–91. 1 indexed citations
12.
Zhang, Lu, Xiaoyu Ma, Guifen Chen, Edi Barkai, & Longnian Lin. (2016). Theta Rhythmic Clock-Like Activity of Single Units in the Mouse Hippocampus. Journal of Neuroscience. 36(16). 4415–4420. 7 indexed citations
13.
Tsien, Joe Z., Meng Li, Remus Oşan, et al.. (2013). On brain activity mapping: insights and lessons from Brain Decoding Project to map memory patterns in the hippocampus. Science China Life Sciences. 56(9). 767–779. 4 indexed citations
14.
Lu, Hu, Shengtao Yang, Longnian Lin, Bao‐Ming Li, & Hui Wei. (2013). Prediction of Rat Behavior Outcomes in Memory Tasks Using Functional Connections among Neurons. PLoS ONE. 8(9). e74298–e74298. 9 indexed citations
15.
Zhang, Lu, Guifen Chen, Ruifang Niu, et al.. (2012). Hippocampal theta‐driving cells revealed by Granger causality. Hippocampus. 22(8). 1781–1793. 20 indexed citations
16.
Wang, Dong V., Fang Wang, Jun Liu, et al.. (2011). Neurons in the Amygdala with Response-Selectivity for Anxiety in Two Ethologically Based Tests. PLoS ONE. 6(4). e18739–e18739. 62 indexed citations
17.
Kuang, Hui, Longnian Lin, & Joe Z. Tsien. (2010). Temporal Dynamics of Distinct CA1 Cell Populations during Unconscious State Induced by Ketamine. PLoS ONE. 5(12). e15209–e15209. 18 indexed citations
18.
Kuang, Hui, Bing Mei, Zhenzhong Cui, Longnian Lin, & Joe Z. Tsien. (2010). A novel behavioral paradigm for assessing the concept of nests in mice. Journal of Neuroscience Methods. 189(2). 169–175. 4 indexed citations
19.
Wang, Ying, et al.. (2008). Ripple-associated high-firing interneurons in the hippocampal CA1 region. Science in China Series C Life Sciences. 51(2). 120–126. 6 indexed citations
20.
Lin, Longnian, Remus Oşan, & Joe Z. Tsien. (2005). Organizing principles of real-time memory encoding: neural clique assemblies and universal neural codes. Trends in Neurosciences. 29(1). 48–57. 97 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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