Jun Sakai

1.6k total citations
33 papers, 1.3k citations indexed

About

Jun Sakai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jun Sakai has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Jun Sakai's work include Light effects on plants (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Jun Sakai is often cited by papers focused on Light effects on plants (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Jun Sakai collaborates with scholars based in Japan, United States and Sweden. Jun Sakai's co-authors include Shinichi Kojima, Yasuyuki Fujimoto, Tatsuya Takano, Hiroyuki Itabe, Yusuke Higashi, Masahiro Mori, Hiroshi Yoneda, Yasushi Inada, Jun Sung Koh and Tim P. Keith and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Psychiatry and Applied and Environmental Microbiology.

In The Last Decade

Jun Sakai

32 papers receiving 1.3k citations

Peers

Countries citing papers authored by Jun Sakai

Since Specialization

Citations

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

Fields of papers citing papers by Jun Sakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sakai

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The REICA method for quantification of cerebral blood flow is less affected by lung washout of [123I] IMP than the graph-plot method 2020 ·Annals of Nuclear Medicine ·(unknown), Masashi Kameyama, Jun Sakai, (unknown), (unknown)	0
2	Effect of the distance between adherent mesenchymal stem cell and the focus of irradiation of femtosecond laser on cell replication capacity 2012 ·Cytotechnology ·Jun Sakai, (unknown), Kosei Ueno, Hiroaki Misawa, Yoichiroh Hosokawa, Takanori Iino, Shigeyuki Wakitani, Mutsumi Takagi	3
3	BIOLUMINESCENCE IMAGING FOR MEASURING FLUID SHEAR DISTRUBUTIONS 2012 ·Coastal Engineering Proceedings ·Yasunori WATANABE, Jun Sakai, (unknown), (unknown)	2
4	Analysis of microdissected neurons by ¹⁸O mass spectrometry reveals altered protein expression in Alzheimer's disease 2011 ·Journal of Cellular and Molecular Medicine ·Masakazu Hashimoto, Nenad Bogdanović, Hiroyuki Nakagawa, Inga Volkmann, Mikio Aoki, Bengt Winblad, Jun Sakai, Lars O. Tjernberg	32
5	Mitochondrial γ‐secretase participates in the metabolism of mitochondria‐associated amyloid precursor protein 2010 ·The FASEB Journal ·Pavel F. Pavlov, Birgitta Wiehager, Jun Sakai, Susanne Frykman, Homira Behbahani, Bengt Winblad, Maria Ankarcrona	94
6	GC‐MS‐based metabolomics reveals mechanism of action for hydrazine induced hepatotoxicity in rats 2010 ·Journal of Applied Toxicology ·Kiyoko Bando, Takeshi Kunimatsu, Jun Sakai, Juki Kimura, Hitoshi Funabashi, Takaki Seki, Takeshi Bamba, Eiichiro Fukusaki	86
7	Influences of biofluid sample collection and handling procedures on GC–MS based metabolomic studies 2010 ·Journal of Bioscience and Bioengineering ·Kiyoko Bando, (unknown), Takeshi Kunimatsu, Jun Sakai, Juki Kimura, Hitoshi Funabashi, Takaki Seki, Takeshi Bamba, Eiichiro Fukusaki	47
8	Activity‐dependent localization in spines of the F‐actin capping protein CapZ screened in a rat model of dementia 2010 ·Genes to Cells ·Takuma Kitanishi, Jun Sakai, Shinichi Kojima, Yoshito Saitoh, Kaoru Inokuchi, Masahiro Fukaya, Masahiko Watanabe, Norio Matsuki, Maki Yamada	14
9	Two-Dimensional Differential Gel Electrophoresis of Rat Heart Proteins in Ischemia and Ischemia-Reperfusion 2006 ·Humana Press eBooks ·Jun Sakai, (unknown), (unknown), Setsuko Yamamoto, Shinichi Kojima, Masaharu Kanaoka	11
10	Purification and cDNA Cloning of NADPH-Dependent Aldoketoreductase, Involved in Asymmetric Reduction of Methyl 4-Bromo-3-Oxobutyrate, from Penicillium citrinum IFO4631 2005 ·Applied and Environmental Microbiology ·Hiroyuki Asako, (unknown), Kenji Matsumura, Masatoshi Shimizu, Jun Sakai, Nobuya Itoh	13
11	Proteomic analysis of rat heart in ischemia and ischemia‐reperfusion using fluorescence two‐dimensional difference gel electrophoresis 2003 ·PROTEOMICS ·Jun Sakai, (unknown), Shinichi Kojima, (unknown), Setsuko Yamamoto, Masaharu Kanaoka	49
12	Positive association between panic disorder and polymorphism of the serotonin 2A receptor gene 2003 ·Psychiatry Research ·Yasushi Inada, Hiroshi Yoneda, Jun Sung Koh, Jun Sakai, (unknown), Yoko Kinoshita, (unknown), (unknown), Toshiaki Sakai	62
13	The influence on the schizophrenic symptoms by the DRD2Ser/Cys311 and −141C Ins/Del polymorphisms 2002 ·Psychiatry and Clinical Neurosciences ·(unknown), Jun Sung Koh, Jun Sakai, Yasushi Inada, (unknown), Hiroshi Yoneda	44
14	Excitability changes of dorsal root axons following nerve injury: implications for injury-induced changes in axonal Na+ channels 2000 ·Brain Research ·Tadashi Nonaka, Osamu Honmou, Jun Sakai, Kazuo Hashi, Jeffery D. Kocsis	11
15	The delayed depolarization in rat cutaneous afferent axons is reduced following nerve transection and ligation, but not crush: Implications for injury-induced axonal NA+ channel reorganization 1998 ·Muscle & Nerve ·Jun Sakai, Osamu Honmou, Jeffery D. Kocsis, Kazuo Hashi	8
16	Effect of Antipsychotic Drugs on the Gene Expression of NMDA Receptor Subunits in Rats 1997 ·Neurochemical Research ·(unknown), Ryuichi Takahata, (unknown), Jun Sakai, Hitoshi Matsumura, Hiroshi Yoneda, (unknown), Toshiaki Sakai	17
17	The amino acid sequence of the light chain of Acanthamoeba myosin IC 1997 ·Journal of Muscle Research and Cell Motility ·Zhenyuan Wang, Jun Sakai, Paul Matsudaira, Ivan Baines, James R. Sellers, John A. Hammer, Edward D. Korn	27
18	Paracentric inversion of chromosome 9 with schizoaffective disorder 1997 ·Clinical Genetics ·(unknown), Hiroshi Yoneda, Kentaro Fukushima, Jun Sakai, H Asaba, Toshiaki Sakai	6
19	Association between early-onset alcoholism and the dopamine D2 receptor gene 1997 ·American Journal of Medical Genetics ·(unknown), Hiroshi Yoneda, Toshiaki Sakai, Yasuhiro Nonomura, (unknown), Jun Sung Koh, Jun Sakai, Yasushi Inada, Hiroyuki Imamichi, H Asaba	55
20	Purification and characterization of three forms of differently glycosylated recombinant human granulocyte-macrophage colony-stimulating factor 1991 ·Archives of Biochemistry and Biophysics ·(unknown), Michio Nakai, Chikao Nakayama, Hideki Yanagi, Hiroshi Matsui, Hiroshi Noguchi, Mitsuo Namiki, Jun Sakai, (unknown), Masaru Fukui, Hiroshi Hara	35

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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