Naoki Kiyosawa

1.1k total citations
46 papers, 859 citations indexed

About

Naoki Kiyosawa is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Naoki Kiyosawa has authored 46 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Pharmacology and 9 papers in Cancer Research. Recurrent topics in Naoki Kiyosawa's work include Pharmacogenetics and Drug Metabolism (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Gene expression and cancer classification (7 papers). Naoki Kiyosawa is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Gene expression and cancer classification (7 papers). Naoki Kiyosawa collaborates with scholars based in Japan, United States and Germany. Naoki Kiyosawa's co-authors include Takashi Yamoto, Sunao Manabe, Kazumi Ito, Takeki Uehara, Tetsuro Urushidani, Atsushi Ono, Ko Omura, Toshikazu Miyagishima, Mitsuhiro Hirode and Kunio Doi and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.

In The Last Decade

Naoki Kiyosawa

46 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Kiyosawa Japan 19 475 165 150 142 135 46 859
Takashi Yamoto Japan 16 329 0.7× 83 0.5× 172 1.1× 136 1.0× 63 0.5× 53 689
Thomas K. Baker United States 16 335 0.7× 90 0.5× 130 0.9× 55 0.4× 93 0.7× 28 818
Karen Brauers Netherlands 17 498 1.0× 235 1.4× 110 0.7× 78 0.5× 60 0.4× 23 898
Reza J. Rasoulpour United States 19 560 1.2× 201 1.2× 74 0.5× 121 0.9× 43 0.3× 45 1.2k
Alice Limonciel Austria 15 420 0.9× 117 0.7× 47 0.3× 102 0.7× 51 0.4× 19 739
Rupesh P. Amin United States 10 434 0.9× 97 0.6× 79 0.5× 51 0.4× 87 0.6× 17 736
Mi-Sook Dong South Korea 10 452 1.0× 69 0.4× 183 1.2× 54 0.4× 36 0.3× 10 690
Pamela E. Blackshear United States 14 313 0.7× 68 0.4× 96 0.6× 32 0.2× 71 0.5× 21 673
Kelly Windmill Australia 11 491 1.0× 123 0.7× 262 1.7× 48 0.3× 24 0.2× 16 1.1k
Bhanu Singh United States 6 206 0.4× 99 0.6× 102 0.7× 51 0.4× 23 0.2× 12 581

Countries citing papers authored by Naoki Kiyosawa

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kiyosawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kiyosawa

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kiyosawa. A scholar is included among the top collaborators of Naoki Kiyosawa 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 Naoki Kiyosawa. Naoki Kiyosawa 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.
Hirouchi, Masakazu, et al.. (2024). Plasma microRNAs Associate Positive, Negative, and Cognitive Symptoms with Inflammation in Schizophrenia. International Journal of Molecular Sciences. 25(24). 13522–13522. 1 indexed citations
2.
Kiyosawa, Naoki & Sunao Manabe. (2016). Data-intensive drug development in the information age: applications of Systems Biology/Pharmacology/Toxicology. The Journal of Toxicological Sciences. 41(Special). SP15–SP25. 2 indexed citations
3.
Kiyosawa, Naoki, et al.. (2013). PPARα-mediated responses in human adult liver stem cells: In vivo/in vitro and cross-species comparisons. The Journal of Steroid Biochemistry and Molecular Biology. 138. 236–247. 11 indexed citations
4.
Kiyosawa, Naoki, Sunao Manabe, Atsushi Sanbuissho, & Takashi Yamoto. (2010). Gene set-level network analysis using a toxicogenomics database. Genomics. 96(1). 39–49. 10 indexed citations
5.
Kiyosawa, Naoki, Yukio Ando, Kyoko Watanabe, et al.. (2010). Hepatic transcriptome and proteome responses against diethyl maleate-induced glutathione depletion in the rat. Archives of Toxicology. 85(9). 1045–1056. 16 indexed citations
6.
Hirode, Mitsuhiro, Ko Omura, Naoki Kiyosawa, et al.. (2009). Gene expression profiling in rat liver treated with various hepatotoxic-compounds inducing coagulopathy. The Journal of Toxicological Sciences. 34(3). 281–293. 24 indexed citations
7.
Kiyosawa, Naoki, et al.. (2009). Scoring multiple toxicological endpoints using a toxicogenomic database. Toxicology Letters. 188(2). 91–97. 10 indexed citations
8.
Arakawa, Shingo, Naoki Kiyosawa, Kyoko Watanabe, et al.. (2008). Toxicokintic and toxicodynamic analysis of clofibrate based on free drug concentrations in nagase analbuminemia rats (NAR). The Journal of Toxicological Sciences. 33(3). 349–361. 6 indexed citations
9.
Kiyosawa, Naoki, Joshua C. Kwekel, Lyle D. Burgoon, et al.. (2008). Species-specific regulation of PXR/CAR/ER-target genes in the mouse and rat liver elicited by o, p'-DDT. BMC Genomics. 9(1). 487–487. 33 indexed citations
10.
Kiyosawa, Naoki, Joshua C. Kwekel, Lyle D. Burgoon, et al.. (2007). o,p′-DDT Elicits PXR/CAR-, Not ER-, Mediated Responses in the Immature Ovariectomized Rat Liver. Toxicological Sciences. 101(2). 350–363. 24 indexed citations
11.
Kumagai, Kazuyoshi, Naoki Kiyosawa, Kazumi Ito, et al.. (2007). Influence of Kupffer cell inactivation on cycloheximide-induced hepatic injury. Toxicology. 241(3). 106–118. 15 indexed citations
12.
13.
Katayama, Keiichi, et al.. (2005). Microarray analysis on Phase II drug metabolizing enzymes expression in pregnant rats after treatment with pregnenolone-16α-carbonitrile or phenobarbital. Experimental and Molecular Pathology. 79(3). 272–277. 15 indexed citations
14.
Kiyosawa, Naoki, Kazumi Ito, Takashi Yamoto, et al.. (2005). Microarray analysis of T-2 toxin-induced liver, placenta and fetal liver lesions in pregnant rats. Experimental and Toxicologic Pathology. 57(1). 15–28. 57 indexed citations
15.
Kiyosawa, Naoki, Kazumi Ito, Takashi Yamoto, et al.. (2004). Gene expression profiles in pregnant rats treated with T-2 toxin. Experimental and Toxicologic Pathology. 55(5). 357–366. 22 indexed citations
16.
Kiyosawa, Naoki, et al.. (2004). Effect of serum cholesterol on the mRNA content of amyloid precursor protein in rat livers. Toxicology Letters. 150(2). 157–166. 2 indexed citations
17.
Kiyosawa, Naoki, T. Makino, Kazumi Ito, et al.. (2004). Morphological and microarray analysis of T-2 toxin-induced rat fetal brain lesion. Food and Chemical Toxicology. 42(11). 1727–1736. 58 indexed citations
18.
Kiyosawa, Naoki, Kohji Tanaka, Jun Hirao, et al.. (2004). Molecular mechanism investigation of phenobarbital-induced serum cholesterol elevation in rat livers by microarray analysis. Archives of Toxicology. 78(8). 435–42. 26 indexed citations
19.
Kiyosawa, Naoki, et al.. (2004). Evaluation of glutathione deficiency in rat livers by microarray analysis. Biochemical Pharmacology. 68(7). 1465–1475. 19 indexed citations
20.
Kobayashi, Atsushi, Naoki Kiyosawa, Yoshihito Suzuki, Noboru Murofushi, & Isomaro Yamaguchi. (2000). Pharbitis class-1 knotted -like homeobox gene, PKn3 , shares similar characteristics to those of class-2 knotted -like genes. Plant Cell Reports. 19(9). 911–920. 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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