Eiichi Kimura

12.1k total citations
231 papers, 10.1k citations indexed

About

Eiichi Kimura is a scholar working on Oncology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Eiichi Kimura has authored 231 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Oncology, 80 papers in Molecular Biology and 76 papers in Organic Chemistry. Recurrent topics in Eiichi Kimura's work include Metal complexes synthesis and properties (82 papers), Molecular Sensors and Ion Detection (53 papers) and DNA and Nucleic Acid Chemistry (31 papers). Eiichi Kimura is often cited by papers focused on Metal complexes synthesis and properties (82 papers), Molecular Sensors and Ion Detection (53 papers) and DNA and Nucleic Acid Chemistry (31 papers). Eiichi Kimura collaborates with scholars based in Japan, United States and China. Eiichi Kimura's co-authors include Tohru Koike, Motoo Shiro, Shin Aoki, Mutsuo Kodama, Mitsuhiko Shionoya, Ryosuke Machida, Emiko Kinoshita‐Kikuta, Takashi Yatsunami, Yöichi Iitaka and Senji Wada and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Eiichi Kimura

226 papers receiving 9.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eiichi Kimura Japan 56 3.6k 3.6k 3.4k 3.3k 3.2k 231 10.1k
Antonio Bianchi Italy 47 2.4k 0.7× 4.3k 1.2× 2.9k 0.9× 1.8k 0.6× 3.6k 1.1× 292 8.9k
Enrique García‐España Spain 46 2.0k 0.6× 4.8k 1.3× 3.4k 1.0× 2.2k 0.7× 3.6k 1.1× 357 9.2k
Zheng‐yin Yang China 46 2.9k 0.8× 3.3k 0.9× 2.4k 0.7× 2.0k 0.6× 2.9k 0.9× 191 7.8k
Luigi Fabbrizzi Italy 61 3.0k 0.8× 9.9k 2.8× 4.3k 1.3× 2.6k 0.8× 8.4k 2.7× 272 15.3k
Vito Lippolis Italy 48 1.7k 0.5× 2.2k 0.6× 3.3k 1.0× 1.0k 0.3× 2.3k 0.7× 364 8.9k
Mauro Micheloni Italy 35 1.8k 0.5× 2.4k 0.7× 1.5k 0.4× 1.0k 0.3× 2.0k 0.6× 157 4.8k
Leonard F. Lindoy Australia 47 3.6k 1.0× 2.4k 0.7× 4.4k 1.3× 703 0.2× 3.5k 1.1× 433 10.2k
Hans‐Jörg Schneider Germany 52 1.1k 0.3× 4.9k 1.4× 5.9k 1.7× 3.8k 1.2× 3.2k 1.0× 228 13.1k
Barbara Valtancoli Italy 41 1.8k 0.5× 2.3k 0.6× 1.6k 0.5× 1.3k 0.4× 2.2k 0.7× 207 5.2k
Randolph P. Thummel United States 55 3.0k 0.8× 1.2k 0.3× 5.0k 1.5× 1.4k 0.4× 4.5k 1.4× 235 11.9k

Countries citing papers authored by Eiichi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Kimura. A scholar is included among the top collaborators of Eiichi Kimura 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 Eiichi Kimura. Eiichi Kimura 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.
Onuma, Hiroki, et al.. (2019). Anti-osteoporotic effects of syringic acid and vanilic acid in the extracts of waste beds after mushroom cultivation. Journal of Bioscience and Bioengineering. 128(5). 622–629. 34 indexed citations
2.
Kimura, Eiichi, Kazumasa Murata, Toshiyuki Kimura, et al.. (2018). Identification of OsGGR2, a second geranylgeranyl reductase involved in α-tocopherol synthesis in rice. Scientific Reports. 8(1). 1870–1870. 18 indexed citations
3.
Kimura, Eiichi, et al.. (2013). Investigation of tocotrienol biosynthesis in rice (Oryza sativa L.). Food Chemistry. 140(1-2). 91–98. 12 indexed citations
4.
Yoshida, Taiji, Eiichi Kimura, Setsuo Koike, et al.. (2011). Transgenic Rice Expressing Amyloid β-peptide for Oral Immunization. International Journal of Biological Sciences. 7(3). 301–307. 21 indexed citations
5.
6.
Kimura, Eiichi, et al.. (2008). 67 Content changes of γ-oryzanol during rice grain filling and germination. Japanese Journal of Crop Science. 77(1). 134–135. 1 indexed citations
7.
Aoki, Shin, Yasuyuki Yamada, Ryoko Takasawa, et al.. (2006). A New Fluorescent Probe for Zinc(II): An 8‐Hydroxy‐5‐N,N‐dimethylaminosulfonylquinoline‐Pendant 1,4,7,10‐Tetraazacyclododecane. Chemistry - A European Journal. 12(35). 9066–9080. 73 indexed citations
8.
Aoki, Shin & Eiichi Kimura. (2002). Recent progress in artificial receptors for phosphate anions in aqueous solution. PubMed. 90(2). 129–155. 112 indexed citations
9.
Kinoshita‐Kikuta, Emiko, Shin Aoki, & Eiichi Kimura. (2002). New potent agents binding to a poly(dT) sequence in double-stranded DNA: bis(Zn2+-cyclen) and tris(Zn2+-cyclen) complexes. JBIC Journal of Biological Inorganic Chemistry. 7(4-5). 473–482. 25 indexed citations
10.
11.
Kimura, Eiichi, et al.. (2000). Why zinc in zinc enzymes? From biological roles to DNA base-selective recognition. JBIC Journal of Biological Inorganic Chemistry. 5(2). 139–155. 87 indexed citations
12.
Kinoshita‐Kikuta, Emiko, Tohru Koike, & Eiichi Kimura. (2000). Controlling gene expression by zinc(II)–macrocyclic tetraamine complexes. Journal of Inorganic Biochemistry. 79(1-4). 253–259. 26 indexed citations
13.
Kimura, Eiichi. (2000). Dimetallic hydrolases and their models. Current Opinion in Chemical Biology. 4(2). 207–213. 113 indexed citations
14.
Kinoshita‐Kikuta, Emiko, et al.. (1999). Natural and synthetic double-stranded DNA binding studies of macrocyclic tetraamine zinc(II) complexes appended with polyaromatic groups. JBIC Journal of Biological Inorganic Chemistry. 4(4). 431–440. 47 indexed citations
15.
Kimura, Eiichi. (1997). A NOVEL BIOMIMETIC ZINC(II)-FLUOROPHORE, DANSYLAMIDOETHYL-PENDANT MACROCYCLIC TETRAAMINE. South African Journal of Chemistry. 50(4). 240–247. 1 indexed citations
16.
Inouye, Yoshio, Tatsuyuki Kanamori, Tetsuya Yoshida, et al.. (1996). Differential Contribution of Metal Complexation and Dimerization to the Chemotherapeutic Potential of Bicyclen-ZnI2I Complex against Human Immunodeficiency Virus.. Biological and Pharmaceutical Bulletin. 19(3). 456–458. 21 indexed citations
17.
Inouye, Yoshio, Tatsuyuki Kanamori, Tetsuya Yoshida, et al.. (1994). Inhibition of Human Immunodeficiency Virus Proliferation by Macrocyclic Polymines and Their Metal Complexes.. Biological and Pharmaceutical Bulletin. 17(2). 243–250. 39 indexed citations
18.
Kimura, Eiichi & Tohru Koike. (1991). Macrocyclic Polyamines as a Probe for Equilibrium Study of the Acid Functions of Zinc(II) Ion in Hydrolysis Enzymes. Comments on Inorganic Chemistry. 11(5-6). 285–301. 45 indexed citations
19.
Kimura, Eiichi, et al.. (1987). Solubilization of slightly soluble salts and urinary calculus by anion chelate effect of macrocyclic polyamines.. NIPPON KAGAKU KAISHI. 288–292. 1 indexed citations
20.
Kimura, Eiichi. (1965). Der Ursprung der Lloyd's Seeversicherungspolice. Institutional Repository, Hitotsubashi University (Hitotsubashi University). 3(1). 27–49. 1 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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