Kaoru Furuya

494 total citations
8 papers, 429 citations indexed

About

Kaoru Furuya is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Kaoru Furuya has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Pharmacology. Recurrent topics in Kaoru Furuya's work include Cancer therapeutics and mechanisms (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Cellular transport and secretion (2 papers). Kaoru Furuya is often cited by papers focused on Cancer therapeutics and mechanisms (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Cellular transport and secretion (2 papers). Kaoru Furuya collaborates with scholars based in United States and Japan. Kaoru Furuya's co-authors include C. Richard Hutchinson, Makoto Nishiyama, Sueharu Horinouchi, Soon‐Kwang Hong, Katsuhide Miyake, Teruhiko Beppu, Hirokazu Suzuki, Toru Beppu, Soon‐Kwan Hong and Natalie Lomovskaya and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

Kaoru Furuya

8 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Furuya United States 7 313 238 102 76 50 8 429
D. A. Hopwood United Kingdom 6 313 1.0× 351 1.5× 82 0.8× 53 0.7× 78 1.6× 6 453
Y. Doi-Katayama United States 6 242 0.8× 242 1.0× 56 0.5× 20 0.3× 70 1.4× 6 367
Katrin Welzel Germany 8 373 1.2× 306 1.3× 68 0.7× 53 0.7× 83 1.7× 9 519
David J. Bedford United Kingdom 8 318 1.0× 370 1.6× 80 0.8× 24 0.3× 128 2.6× 9 492
Jesse A. Sundlov United States 9 498 1.6× 329 1.4× 28 0.3× 31 0.4× 48 1.0× 10 565
José A. Salas Spain 5 230 0.7× 193 0.8× 82 0.8× 32 0.4× 70 1.4× 7 331
J Sigmund United States 11 173 0.6× 108 0.5× 44 0.4× 19 0.3× 60 1.2× 15 280
Sheng‐Jian Cai United States 8 250 0.8× 123 0.5× 39 0.4× 102 1.3× 22 0.4× 9 320
Jamie B. Scaglione United States 9 179 0.6× 101 0.4× 31 0.3× 49 0.6× 85 1.7× 14 304
P G Grant United States 13 475 1.5× 80 0.3× 70 0.7× 57 0.8× 73 1.5× 18 587

Countries citing papers authored by Kaoru Furuya

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Furuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Furuya

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Furuya. A scholar is included among the top collaborators of Kaoru Furuya 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 Kaoru Furuya. Kaoru Furuya 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.
Sakurada, Katsuhiko, Hiromitsu Nagumo, Kaoru Furuya, et al.. (2002). Synapsin I Is Phosphorylated at Ser603 by p21-activated Kinases (PAKs) in Vitro and in PC12 Cells Stimulated with Bradykinin. Journal of Biological Chemistry. 277(47). 45473–45479. 27 indexed citations
2.
Nagumo, Hiromitsu, et al.. (2001). Rho-Associated Kinase Phosphorylates MARCKS in Human Neuronal Cells. Biochemical and Biophysical Research Communications. 280(3). 605–609. 43 indexed citations
3.
Furuya, Kaoru & C. Richard Hutchinson. (1998). The DrrC protein ofStreptomyces peucetius, a UvrA-like protein, is a DNA-binding protein whose gene is induced by daunorubicin. FEMS Microbiology Letters. 168(2). 243–249. 49 indexed citations
4.
Furuya, Kaoru. (1998). The DrrC protein of Streptomyces peucetius, a UvrA-like protein, is a DNA-binding protein whose gene is induced by daunorubicin. FEMS Microbiology Letters. 168(2). 243–249. 2 indexed citations
5.
Lomovskaya, Natalie, et al.. (1996). The Streptomyces peucetius drrC gene encodes a UvrA-like protein involved in daunorubicin resistance and production. Journal of Bacteriology. 178(11). 3238–3245. 63 indexed citations
6.
Furuya, Kaoru & C. Richard Hutchinson. (1996). The DnrN protein of Streptomyces peucetius, a pseudo-response regulator, is a DNA-binding protein involved in the regulation of daunorubicin biosynthesis. Journal of Bacteriology. 178(21). 6310–6318. 49 indexed citations
7.
Horinouchi, Sueharu, Makoto Nishiyama, Kaoru Furuya, et al.. (1990). Primary structure of AfsR, a global regulatory protein for secondary metabolite formation in Streptomyces coelicolor A3(2). Gene. 95(1). 49–56. 115 indexed citations
8.
Horinouchi, Sueharu, Kaoru Furuya, Makoto Nishiyama, Hirokazu Suzuki, & Toru Beppu. (1987). Nucleotide sequence of the streptothricin acetyltransferase gene from Streptomyces lavendulae and its expression in heterologous hosts. Journal of Bacteriology. 169(5). 1929–1937. 81 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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