Long‐Jun Wu

20.1k total citations · 2 hit papers
213 papers, 13.1k citations indexed

About

Long‐Jun Wu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Long‐Jun Wu has authored 213 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Neurology, 91 papers in Cellular and Molecular Neuroscience and 50 papers in Molecular Biology. Recurrent topics in Long‐Jun Wu's work include Neuroinflammation and Neurodegeneration Mechanisms (92 papers), Neuroscience and Neuropharmacology Research (70 papers) and Pain Mechanisms and Treatments (40 papers). Long‐Jun Wu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (92 papers), Neuroscience and Neuropharmacology Research (70 papers) and Pain Mechanisms and Treatments (40 papers). Long‐Jun Wu collaborates with scholars based in United States, China and Canada. Long‐Jun Wu's co-authors include Min Zhuo, Ukpong B. Eyo, Madhuvika Murugan, Ming Zhao, Hiroki Toyoda, Dai‐Shi Tian, Dale B. Bosco, David E. Clapham, Anthony D. Umpierre and Shanelle W. Ko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Long‐Jun Wu

202 papers receiving 13.0k citations

Hit Papers

International Union of Basic and Clinical Pharmacology. L... 2010 2026 2015 2020 2010 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long‐Jun Wu United States 64 5.0k 4.9k 3.9k 3.8k 1.7k 213 13.1k
Guang Yang United States 37 5.6k 1.1× 4.0k 0.8× 2.3k 0.6× 2.0k 0.5× 2.1k 1.2× 109 11.9k
Junichi Nabekura Japan 49 3.9k 0.8× 4.2k 0.9× 3.0k 0.8× 1.5k 0.4× 1.2k 0.7× 172 9.9k
Brian A. MacVicar Canada 70 4.3k 0.9× 7.7k 1.6× 6.3k 1.6× 2.1k 0.6× 885 0.5× 157 15.5k
Carlos Matute Spain 64 4.2k 0.8× 5.4k 1.1× 4.1k 1.1× 2.0k 0.5× 921 0.5× 245 13.1k
Marina A. Lynch Ireland 73 7.1k 1.4× 5.8k 1.2× 5.1k 1.3× 3.8k 1.0× 3.0k 1.7× 235 17.1k
Vladimir Parpura United States 60 5.3k 1.1× 9.3k 1.9× 5.9k 1.5× 2.7k 0.7× 501 0.3× 210 16.6k
Luis Miguel García‐Segura Spain 87 3.7k 0.7× 6.4k 1.3× 5.6k 1.5× 3.1k 0.8× 1.4k 0.8× 484 25.1k
Baljit S. Khakh United States 64 5.4k 1.1× 7.4k 1.5× 5.4k 1.4× 2.0k 0.5× 929 0.5× 130 16.1k
Mike Dragunow New Zealand 72 3.1k 0.6× 9.2k 1.9× 7.4k 1.9× 2.7k 0.7× 1.3k 0.8× 231 18.2k
Nicola J. Allen United States 31 4.9k 1.0× 4.0k 0.8× 3.4k 0.9× 1.7k 0.5× 1.3k 0.8× 47 10.1k

Countries citing papers authored by Long‐Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Jun Wu. 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 Long‐Jun Wu. The network helps show where Long‐Jun Wu may publish in the future.

Co-authorship network of co-authors of Long‐Jun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Jun Wu. A scholar is included among the top collaborators of Long‐Jun Wu 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 Long‐Jun Wu. Long‐Jun Wu 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
2.
Haruwaka, Koichiro, Yanlu Ying, Yue Liang, et al.. (2024). Microglia enhance post-anesthesia neuronal activity by shielding inhibitory synapses. Nature Neuroscience. 27(3). 449–461. 29 indexed citations
3.
Jiang, Bao‐Chun, Menglin Xu, Jun Gu, et al.. (2024). Follistatin drives neuropathic pain in mice through IGF1R signaling in nociceptive neurons. Science Translational Medicine. 16(769). eadi1564–eadi1564. 7 indexed citations
4.
Mívalt, Filip, Vladimir Sladky, Jiwon Kim, et al.. (2024). Acute to long-term characteristics of impedance recordings during neurostimulation in humans. Journal of Neural Engineering. 21(2). 26022–26022. 5 indexed citations
5.
Dheer, Aastha, Dale B. Bosco, Jiaying Zheng, et al.. (2023). Chemogenetic approaches reveal dual functions of microglia in seizures. Brain Behavior and Immunity. 115. 406–418. 10 indexed citations
6.
Zheng, Jiaying, Shunyi Zhao, Wenjing Zhang, et al.. (2023). TREM2 mediates MHCII-associated CD4+ T-cell response against gliomas. Neuro-Oncology. 26(5). 811–825. 14 indexed citations
7.
Qin, Chuan, Sheng Yang, Man Chen, et al.. (2023). Modulation of microglial metabolism facilitates regeneration in demyelination. iScience. 26(5). 106588–106588. 13 indexed citations
8.
Weilinger, Nicholas L., Kai Yang, Hyun B. Choi, et al.. (2023). Pannexin-1 opening in neuronal edema causes cell death but also leads to protection via increased microglia contacts. Cell Reports. 42(10). 113128–113128. 10 indexed citations
9.
Qi, Fangfang, Zejie Zuo, Kaishun Hu, et al.. (2023). VEGF-A in serum protects against memory impairment in APP/PS1 transgenic mice by blocking neutrophil infiltration. Molecular Psychiatry. 28(10). 4374–4389. 13 indexed citations
10.
Huang, Xin, Long‐Jun Wu, Japinder Nijjer, et al.. (2023). Vibrio cholerae biofilms use modular adhesins with glycan-targeting and nonspecific surface binding domains for colonization. Nature Communications. 14(1). 2104–2104. 21 indexed citations
12.
Jiang, Bao‐Chun, De‐Li Cao, Xiaobo Wu, et al.. (2022). NFAT1 Orchestrates Spinal Microglial Transcription and Promotes Microglial Proliferation via c‐MYC Contributing to Nerve Injury‐Induced Neuropathic Pain. Advanced Science. 9(27). e2201300–e2201300. 29 indexed citations
13.
Luo, Wenjing, Huiming Xu, Li Xu, et al.. (2022). Remyelination in neuromyelitis optica spectrum disorder is promoted by edaravone through mTORC1 signaling activation. Glia. 71(2). 284–304. 18 indexed citations
14.
Sharma, Kaushik, Long‐Jun Wu, & Ukpong B. Eyo. (2020). Calming Neurons with a Microglial Touch. Trends in Neurosciences. 43(4). 197–199. 11 indexed citations
15.
Mo, Mingshu, Ukpong B. Eyo, Manling Xie, et al.. (2019). Microglial P2Y12 Receptor Regulates Seizure-Induced Neurogenesis and Immature Neuronal Projections. Journal of Neuroscience. 39(47). 9453–9464. 65 indexed citations
16.
Zhao, Xiaoliang, Ukpong B. Eyo, Madhuvika Murugan, & Long‐Jun Wu. (2018). Microglial interactions with the neurovascular system in physiology and pathology. Developmental Neurobiology. 78(6). 604–617. 87 indexed citations
17.
Liu, Yong, Li‐Jun Zhou, Wang Jun, et al.. (2017). TNF-α Differentially Regulates Synaptic Plasticity in the Hippocampus and Spinal Cord by Microglia-Dependent Mechanisms after Peripheral Nerve Injury. Journal of Neuroscience. 37(4). 871–881. 10 indexed citations
19.
Fukushima, Hotaka, Ryouta Maeda, Akinobu Suzuki, et al.. (2008). Upregulation of Calcium/Calmodulin-Dependent Protein Kinase IV Improves Memory Formation and Rescues Memory Loss with Aging. Journal of Neuroscience. 28(40). 9910–9919. 110 indexed citations
20.
Zhao, Ming, Shanelle W. Ko, Long‐Jun Wu, et al.. (2006). Enhanced presynaptic neurotransmitter release in the anterior cingulate cortex of mice with chronic pain. PMC.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026