Jun Kitano

592 total citations
8 papers, 512 citations indexed

About

Jun Kitano is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Jun Kitano has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Jun Kitano's work include Neuroscience and Neuropharmacology Research (8 papers), Neurobiology and Insect Physiology Research (4 papers) and Ion channel regulation and function (3 papers). Jun Kitano is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neurobiology and Insect Physiology Research (4 papers) and Ion channel regulation and function (3 papers). Jun Kitano collaborates with scholars based in Japan and United Kingdom. Jun Kitano's co-authors include Shigetada Nakanishi, Yoshiaki Nakajima, Yoshimitsu Yamazaki, Steven P. Braithwaite, Kumlesh K. Dev, Jeremy M. Henley, Ryuichi Shigemoto, Takeshi Soda, Masaaki Ogawa and Itsunari Minami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Jun Kitano

8 papers receiving 508 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 Kitano Japan 8 371 366 97 42 36 8 512
Andrea Gerstner Germany 7 670 1.8× 463 1.3× 90 0.9× 43 1.0× 32 0.9× 7 815
Nathan J. Lautermilch United States 9 384 1.0× 438 1.2× 101 1.0× 42 1.0× 28 0.8× 13 582
Michael Kirmiz United States 7 348 0.9× 200 0.5× 115 1.2× 52 1.2× 29 0.8× 9 509
Sriharsha Kantamneni United Kingdom 12 302 0.8× 222 0.6× 79 0.8× 50 1.2× 50 1.4× 16 455
Steven K. Harmon United States 9 436 1.2× 427 1.2× 38 0.4× 43 1.0× 15 0.4× 11 625
Janet Holliday United States 9 387 1.0× 389 1.1× 46 0.5× 30 0.7× 48 1.3× 10 549
Wenying Jin China 5 362 1.0× 312 0.9× 166 1.7× 55 1.3× 46 1.3× 8 605
Natsumi Ageta‐Ishihara Japan 9 310 0.8× 214 0.6× 118 1.2× 63 1.5× 20 0.6× 20 496
Aki Adachi-Morishima Japan 5 277 0.7× 270 0.7× 121 1.2× 38 0.9× 43 1.2× 6 536
Nikolaos Mitakidis United Kingdom 5 296 0.8× 339 0.9× 98 1.0× 27 0.6× 81 2.3× 5 515

Countries citing papers authored by Jun Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kitano

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

All Works

8 of 8 papers shown
1.
Ogawa, Masaaki, Tsuyoshi Miyakawa, Kenji Nakamura, et al.. (2007). Altered sensitivities to morphine and cocaine in scaffold protein tamalin knockout mice. Proceedings of the National Academy of Sciences. 104(37). 14789–14794. 23 indexed citations
2.
Sato, Masaaki, Toshihide Tabata, Kouichi Hashimoto, et al.. (2004). Altered agonist sensitivity and desensitization of neuronal mGluR1 responses in knock‐in mice by a single amino acid substitution at the PKC phosphorylation site. European Journal of Neuroscience. 20(4). 947–955. 12 indexed citations
3.
Kitano, Jun, Yoshiaki Nakajima, Koki Moriyoshi, et al.. (2004). Phosphorylation and Recruitment of Syk by Immunoreceptor Tyrosine-based Activation Motif-based Phosphorylation of Tamalin. Journal of Biological Chemistry. 279(31). 32308–32315. 26 indexed citations
5.
Kitano, Jun, et al.. (2003). Tamalin Is a Scaffold Protein That Interacts with Multiple Neuronal Proteins in Distinct Modes of Protein-Protein Association. Journal of Biological Chemistry. 278(17). 14762–14768. 59 indexed citations
6.
Kitano, Jun, Motohiro Nishida, Itsunari Minami, et al.. (2003). Direct Interaction and Functional Coupling between Metabotropic Glutamate Receptor Subtype 1 and Voltage-sensitive Cav2.1 Ca2+ Channel. Journal of Biological Chemistry. 278(27). 25101–25108. 61 indexed citations
7.
Kitano, Jun, Yoshimitsu Yamazaki, Takeshi Soda, et al.. (2002). Tamalin, a PDZ Domain-Containing Protein, Links a Protein Complex Formation of Group 1 Metabotropic Glutamate Receptors and the Guanine Nucleotide Exchange Factor Cytohesins. Journal of Neuroscience. 22(4). 1280–1289. 151 indexed citations
8.
Dev, Kumlesh K., Yoshiaki Nakajima, Jun Kitano, et al.. (2000). PICK1 Interacts with and Regulates PKC Phosphorylation of mGLUR7. Journal of Neuroscience. 20(19). 7252–7257. 135 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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