Satoru Nakai

2.5k total citations
41 papers, 2.2k citations indexed

About

Satoru Nakai is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Satoru Nakai has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 15 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Satoru Nakai's work include Immune Response and Inflammation (12 papers), Immune Cell Function and Interaction (9 papers) and Receptor Mechanisms and Signaling (5 papers). Satoru Nakai is often cited by papers focused on Immune Response and Inflammation (12 papers), Immune Cell Function and Interaction (9 papers) and Receptor Mechanisms and Signaling (5 papers). Satoru Nakai collaborates with scholars based in Japan, Spain and United States. Satoru Nakai's co-authors include Yoshikatsu Hirai, Masamichi Satoh, Tsutomu Nishida, Takashi Yamaguchi, Yasushi Kuraishi, Masabumi Minami, Yoshihiro Masui, Tadamitsu Kishimoto, Kiyoshi Yasukawa and Tetsushi Matsuda and has published in prestigious journals such as The EMBO Journal, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Satoru Nakai

40 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoru Nakai Japan 19 803 608 438 371 293 41 2.2k
F. Haour France 33 704 0.9× 686 1.1× 500 1.1× 358 1.0× 281 1.0× 107 3.2k
Adam P. Kohm United States 21 1.6k 1.9× 464 0.8× 468 1.1× 318 0.9× 303 1.0× 27 2.7k
Lex Nagelkerken Netherlands 27 1.2k 1.4× 571 0.9× 174 0.4× 192 0.5× 305 1.0× 69 2.4k
Shin‐ichi Kano United States 17 849 1.1× 599 1.0× 223 0.5× 200 0.5× 226 0.8× 33 1.9k
P L Kilian United States 26 1.5k 1.9× 814 1.3× 185 0.4× 169 0.5× 342 1.2× 34 2.9k
Katerina Dorovini‐Zis Canada 35 924 1.2× 1.1k 1.8× 994 2.3× 292 0.8× 518 1.8× 72 3.8k
Felix Mor Israel 34 1.6k 2.0× 1.2k 2.0× 980 2.2× 495 1.3× 274 0.9× 75 4.0k
Hiroshi Kitani Japan 33 552 0.7× 1.3k 2.2× 537 1.2× 252 0.7× 166 0.6× 122 3.2k
Sarah Gerlo Belgium 27 679 0.8× 946 1.6× 257 0.6× 177 0.5× 356 1.2× 54 2.8k
Liora Cahalon Israel 31 871 1.1× 885 1.5× 737 1.7× 369 1.0× 288 1.0× 54 3.1k

Countries citing papers authored by Satoru Nakai

Since Specialization
Citations

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

Fields of papers citing papers by Satoru Nakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoru Nakai

This figure shows the co-authorship network connecting the top 25 collaborators of Satoru Nakai. A scholar is included among the top collaborators of Satoru Nakai 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 Satoru Nakai. Satoru Nakai 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.
Nakai, Satoru, Tsuyoshi Hirose, Toyoki Mori, et al.. (2007). THE EFFECT OF ARIPIPRAZOLE ON PREPULSE INHIBITION OF THE STARTLE RESPONSE IN NORMAL AND HYPERDOPAMINERGIC STATES IN RATS. International Journal of Neuroscience. 118(1). 39–57. 11 indexed citations
2.
Nakai, Satoru, Tsuyoshi Hirose, Yasufumi Uwahodo, et al.. (2003). Diminished catalepsy and dopamine metabolism distinguish aripiprazole from haloperidol or risperidone. European Journal of Pharmacology. 472(1-2). 89–97. 39 indexed citations
3.
Hayashi, T., K Hasegawa, Satoru Nakai, et al.. (2001). Bronchial Lesions of the Late Asthmatic Response in BALB/c and C57BL/6 Mice. Journal of Comparative Pathology. 125(2-3). 208–213. 6 indexed citations
4.
Tanaka, Satoshi, Tetsuhiro Nishihara, Tadashi Nagashima, et al.. (1997). Differentiation inducing effects of vesnarinone on human glioma cells. Journal of Clinical Neuroscience. 4(1). 57–62. 3 indexed citations
5.
Tomoyasu, Shigeru, et al.. (1996). Induction of differentiation and enhancement of vincristine sensitivity of human erythroleukemia HEL cells by vesnarinone, a positive inotropic agent.. PubMed. 24(1). 37–42. 13 indexed citations
6.
Adachi, Yasushi, Muneo Inaba, Yutaka Nakamura, et al.. (1995). Effect of Bone Marrow Transplantation on Anti-Phospholipid Antibody Syndrome in Murine Lupus Mice. Immunobiology. 192(3-4). 218–230. 35 indexed citations
7.
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9.
Nishida, Tsutomu, et al.. (1991). Renaturation, Purification, and Characterization of Human Truncated Macrophage Colony-Stimulating Factor Expressed in Escherichia coli. The Journal of Biochemistry. 109(3). 404–409. 16 indexed citations
10.
Minami, Masabumi, et al.. (1991). Immobilization stress induces interleukin-1β mRNA in the rat hypothalamus. Neuroscience Letters. 123(2). 254–256. 223 indexed citations
11.
Katsuki, Hiroshi, et al.. (1990). Interleukin-1β inhibits long-term potentiation in the CA3 region of mouse hippocampal slices. European Journal of Pharmacology. 181(3). 323–326. 272 indexed citations
12.
Nakai, Satoru, Kazuyoshi Kawai, Yoshikatsu Hirai, & Kenjí Tasaka. (1990). A mutant protein of human interleukin-1ß with immunostimulatory but not pyrogenic potency. Life Sciences. 47(19). 1707–1714. 8 indexed citations
13.
Nishida, Tsutomu, et al.. (1989). Dexamethasone regulation of the expression of cytokine mRNAs induced by interleukin 1 in astrocytoma cell line U373MG.. Ensho. 9(5). 397–402. 1 indexed citations
14.
Nishida, Tsutomu, et al.. (1989). Dexamethasone regulation of the expression of cytokine mRNAs induced by interleukin‐1 in the astrocytoma cell line U373MG. FEBS Letters. 243(1). 25–29. 54 indexed citations
15.
Ohmoto, Yasukazu, Keiko Mizuno, Satoru Nakai, & Yoshikatsu Hirai. (1988). Development and use of a immunoassay for human interleukin-1.. Ensho. 8(5). 409–414. 1 indexed citations
16.
Kamogashira, Takashi, Yasukazu Ohmoto, Keiko Mizuno, et al.. (1988). Site-Specific Mutagenesis of the Human Interleukin-1β Gene: The Role of Arginine Residue at the N-Terminal Region. The Journal of Biochemistry. 104(5). 837–840. 20 indexed citations
17.
Nishida, Tsutomu, et al.. (1988). The transcription of the interleukin 1β gene is induced with PMA and inhibited with dexamethasone in U937 cells. Biochemical and Biophysical Research Communications. 156(1). 269–274. 22 indexed citations
18.
Nakai, Satoru, et al.. (1988). A simple, sensitive bioassay for the detection of interleukin-1 using human melanoma A375 cell line. Biochemical and Biophysical Research Communications. 154(3). 1189–1196. 88 indexed citations
19.
Nishida, Tsutomu, Naoki Nishino, Masaaki Takano, et al.. (1987). cDNA cloning of IL-1α and IL-1β from mRNA of U937 cell line. Biochemical and Biophysical Research Communications. 143(1). 345–352. 114 indexed citations
20.
Tani, Takeshi, H. Ishiyama, Tetsuro Kikuchi, et al.. (1982). Pharmacological properties of buprenorphine, a new analgesic agent. Part II. Folia Pharmacologica Japonica. 79(3). 173–191. 2 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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