Jun Nagai

3.5k total citations
56 papers, 2.5k citations indexed

About

Jun Nagai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Jun Nagai has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 17 papers in Developmental Neuroscience. Recurrent topics in Jun Nagai's work include Neurogenesis and neuroplasticity mechanisms (17 papers), Axon Guidance and Neuronal Signaling (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). Jun Nagai is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (17 papers), Axon Guidance and Neuronal Signaling (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). Jun Nagai collaborates with scholars based in Japan, United States and United Kingdom. Jun Nagai's co-authors include Baljit S. Khakh, Xinzhu Yu, Giovanni Coppola, Toshio Ohshima, Yasushi Kawata, Kazuaki Hibiya, Yoshio Goshima, Satoshi Tsuneda, Akira Hirata and Peyman Golshani and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Jun Nagai

52 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Nagai Japan 25 1.0k 1.0k 596 335 279 56 2.5k
W. Michael Caudle United States 32 746 0.7× 1.3k 1.3× 432 0.7× 176 0.5× 215 0.8× 69 3.7k
Ying Shen China 27 1.1k 1.0× 1.1k 1.1× 383 0.6× 234 0.7× 308 1.1× 127 2.7k
Shengxiang Zhang China 27 698 0.7× 561 0.6× 734 1.2× 239 0.7× 167 0.6× 133 2.8k
William R. Mundy United States 41 1.1k 1.0× 1.3k 1.3× 170 0.3× 624 1.9× 378 1.4× 95 4.1k
Gholamreza Ahmadian Iran 20 1.7k 1.6× 1.8k 1.8× 278 0.5× 128 0.4× 338 1.2× 34 3.0k
Doug Lobner United States 31 1.5k 1.5× 1.6k 1.6× 537 0.9× 363 1.1× 164 0.6× 62 4.1k
Marina Guizzetti United States 30 888 0.8× 545 0.5× 298 0.5× 186 0.6× 80 0.3× 90 2.5k
Magda Giòrdano Mexico 26 706 0.7× 1.3k 1.3× 154 0.3× 199 0.6× 358 1.3× 77 2.6k
Franca Cambi United States 30 1.4k 1.4× 1.0k 1.0× 554 0.9× 279 0.8× 120 0.4× 57 3.3k
Michael Müller Germany 32 1.3k 1.3× 892 0.9× 215 0.4× 110 0.3× 371 1.3× 102 3.0k

Countries citing papers authored by Jun Nagai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nagai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nagai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nagai. A scholar is included among the top collaborators of Jun Nagai 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 Jun Nagai. Jun Nagai 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.
Komori, Atsuko, Atsushi Kasai, Henrik Skibbe, et al.. (2025). The astrocytic ensemble acts as a multiday trace to stabilize memory. Nature. 648(8092). 146–156.
2.
Liu, Yuan, Wei Lin, Zhongfei Bai, et al.. (2025). Lcn2 from neutrophil extracellular traps induces astrogliosis and post-stroke emotional disorders. Neuron. 113(24). 4199–4216.e8.
3.
4.
Nagai, Jun, et al.. (2023). Muscle belly ratio is the most suitable estimate of the activity of the torn supraspinatus muscle. JSES International. 7(6). 2373–2378. 1 indexed citations
5.
Wang, Weisheng, Peter J. Schuette, Jun Nagai, et al.. (2021). Coordination of escape and spatial navigation circuits orchestrates versatile flight from threats. Neuron. 109(11). 1848–1860.e8. 51 indexed citations
6.
Nagai, Jun, Masaya Hasegawa, Miyuki Takahashi, et al.. (2020). Phosphorylation of CRMP2 is required for migration and positioning of Purkinje cells: Redundant roles of CRMP1 and CRMP4. Brain Research. 1736. 146762–146762. 6 indexed citations
7.
Nagai, Jun, Xinzhu Yu, Thomas Papouin, et al.. (2020). Behaviorally consequential astrocytic regulation of neural circuits. Neuron. 109(4). 576–596. 190 indexed citations
8.
Yu, Xinzhu, Jun Nagai, & Baljit S. Khakh. (2020). Improved tools to study astrocytes. Nature reviews. Neuroscience. 21(3). 121–138. 213 indexed citations
9.
Lobas, Mark A., Rongkun Tao, Jun Nagai, et al.. (2019). A genetically encoded single-wavelength sensor for imaging cytosolic and cell surface ATP. Nature Communications. 10(1). 711–711. 206 indexed citations
10.
Nagai, Jun, Abha K. Rajbhandari, Mohitkumar R. Gangwani, et al.. (2019). Hyperactivity with Disrupted Attention by Activation of an Astrocyte Synaptogenic Cue. Cell. 177(5). 1280–1292.e20. 230 indexed citations
11.
Kinoshita, Yuki, Shunsuke Kondo, Kazuya Takahashi, et al.. (2019). Genetic inhibition of CRMP2 phosphorylation delays Wallerian degeneration after optic nerve injury. Biochemical and Biophysical Research Communications. 514(4). 1037–1039. 6 indexed citations
12.
Nagai, Jun, et al.. (2016). Lanthionine ketimine ester promotes locomotor recovery after spinal cord injury by reducing neuroinflammation and promoting axon growth. Biochemical and Biophysical Research Communications. 483(1). 759–764. 19 indexed citations
13.
Nagai, Jun, Fumio Nakamura, Naoya Yamashita, et al.. (2016). CRMP1 and CRMP4 are required for proper orientation of dendrites of cerebral pyramidal neurons in the developing mouse brain. Brain Research. 1655. 161–167. 12 indexed citations
14.
Nagai, Jun, et al.. (2016). CRMPs Function in Neurons and Glial Cells: Potential Therapeutic Targets for Neurodegenerative Diseases and CNS Injury. Molecular Neurobiology. 54(6). 4243–4256. 28 indexed citations
15.
Nagai, Jun, et al.. (2016). Deletion of Crmp4 attenuates CSPG-induced inhibition of axonal growth and induces nociceptive recovery after spinal cord injury. Molecular and Cellular Neuroscience. 74. 42–48. 15 indexed citations
16.
Nagai, Jun, et al.. (2012). Phosphorylation of CRMP2 is involved in proper bifurcation of the apical dendrite of hippocampal CA1 pyramidal neurons. Developmental Neurobiology. 73(2). 142–151. 32 indexed citations
17.
Nagai, Jun, Yoshio Goshima, & Toshio Ohshima. (2012). CRMP4 mediates MAG-induced inhibition of axonal outgrowth and protection against Vincristine-induced axonal degeneration. Neuroscience Letters. 519(1). 56–61. 19 indexed citations
18.
Yamasaki, Ryo, Masaru Hoshino, Tetsuichi Wazawa, et al.. (1999). Single molecular observation of the interaction of GroEL with substrate proteins. Journal of Molecular Biology. 292(5). 965–972. 34 indexed citations
19.
Ashiuchi, Makoto, et al.. (1995). In Vivo Effect of GroESL on the Folding of Glutamate Racemase of Escherichia coli. The Journal of Biochemistry. 117(3). 495–498. 21 indexed citations
20.
Masuda, Naoki, et al.. (1988). Molecular cloning of cDNA encoding 20 kDa variant human growth hormone and the alternative splicing mechanism. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 949(1). 125–131. 27 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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