Toshi Komurasaki

1.6k total citations
36 papers, 1.4k citations indexed

About

Toshi Komurasaki is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Toshi Komurasaki has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Oncology and 6 papers in Surgery. Recurrent topics in Toshi Komurasaki's work include Glycosylation and Glycoproteins Research (10 papers), HER2/EGFR in Cancer Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Toshi Komurasaki is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), HER2/EGFR in Cancer Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Toshi Komurasaki collaborates with scholars based in Japan, United States and France. Toshi Komurasaki's co-authors include Hitoshi Toyoda, Daisuke Uchida, Shigeo Morimoto, Kazunori Hanada, Toshiaki Isobe, Yasuko Takayama, David F. Stern, David J. Riese, Gregory D. Plowman and Yasushi Hanakawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Toshi Komurasaki

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshi Komurasaki Japan 19 646 504 184 167 165 36 1.4k
Michael J. Flister United States 22 758 1.2× 599 1.2× 119 0.6× 137 0.8× 213 1.3× 53 1.6k
Jae-Hung Shieh United States 20 959 1.5× 352 0.7× 107 0.6× 82 0.5× 334 2.0× 36 1.6k
Kaori Fujita Japan 21 1.1k 1.6× 467 0.9× 75 0.4× 295 1.8× 132 0.8× 45 1.7k
F. van Valen Germany 22 844 1.3× 491 1.0× 83 0.5× 118 0.7× 272 1.6× 47 1.5k
Marion C. Dickson United Kingdom 24 1.2k 1.8× 275 0.5× 167 0.9× 120 0.7× 415 2.5× 34 2.4k
Toshihiko Shirai Japan 22 510 0.8× 163 0.3× 99 0.5× 114 0.7× 190 1.2× 109 1.8k
Hongming Zhou China 15 869 1.3× 436 0.9× 127 0.7× 95 0.6× 165 1.0× 30 1.6k
Hiroyasu Nagahama Japan 17 1.0k 1.6× 697 1.4× 75 0.4× 66 0.4× 236 1.4× 30 1.8k
Neil Broadway United Kingdom 12 522 0.8× 663 1.3× 132 0.7× 159 1.0× 592 3.6× 18 1.6k
Anita B. Roberts United States 7 762 1.2× 266 0.5× 100 0.5× 46 0.3× 149 0.9× 7 1.3k

Countries citing papers authored by Toshi Komurasaki

Since Specialization
Citations

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

Fields of papers citing papers by Toshi Komurasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshi Komurasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Toshi Komurasaki. A scholar is included among the top collaborators of Toshi Komurasaki 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 Toshi Komurasaki. Toshi Komurasaki 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.
Nakamura, Atsushi, et al.. (2007). Early induction of osteoactivin expression in rat renal tubular epithelial cells after unilateral ureteral obstruction. Experimental and Toxicologic Pathology. 59(1). 53–59. 19 indexed citations
3.
Broca, Christophe, et al.. (2005). Effect of epiregulin on pancreatic beta cell growth and insulin secretion. Growth Factors. 23(4). 285–293. 12 indexed citations
4.
Ishii, Aiko, Yoshikatsu Uematsu, Atsushi Nakamura, et al.. (2005). Transgenic Mice Over-expressing Dicarbonyl/L-xylulose Reductase Gene Crossed with KK-Ay Diabetic Model Mice: An Animal Model for the Metabolism of Renal Carbonyl Compounds. EXPERIMENTAL ANIMALS. 54(5). 385–394. 12 indexed citations
5.
Murata, Shigenori, et al.. (2005). Psychophysiological stress‐regulated gene expression in mice. FEBS Letters. 579(10). 2137–2142. 21 indexed citations
7.
Lindvall, Charlotta, Mi Hou, Toshi Komurasaki, et al.. (2003). Molecular characterization of human telomerase reverse transcriptase-immortalized human fibroblasts by gene expression profiling: activation of the epiregulin gene.. PubMed. 63(8). 1743–7. 90 indexed citations
8.
Komurasaki, Toshi, et al.. (2003). Topical epiregulin enhances repair of murine excisional wounds. Wound Repair and Regeneration. 11(3). 188–197. 15 indexed citations
9.
Toyoda, Hitoshi, et al.. (2003). A novel homocysteine‐responsive gene, smap8, modulates mitogenesis in rat vascular smooth muscle cells. European Journal of Biochemistry. 270(11). 2521–2531. 22 indexed citations
10.
Fujii, Yasuyuki, Toru Nakao, Toshifumi Hara, et al.. (2003). Targeting of MIST to Src‐family kinases via SKAP55–SLAP‐130 adaptor complex in mast cells1. FEBS Letters. 540(1-3). 111–116. 20 indexed citations
11.
Komurasaki, Toshi, Hitoshi Toyoda, Daisuke Uchida, & Nobuo Nemoto. (2002). Mechanism of Growth Promoting Activity of Epiregulin in Primary Cultures of Rat Hepatocytes. Growth Factors. 20(2). 61–69. 31 indexed citations
12.
Hayashi, Ken’ichiro, et al.. (2001). EGF Family Ligand-Dependent Phenotypic Modulation of Smooth Muscle Cells through EGF Receptor. Biochemical and Biophysical Research Communications. 281(2). 373–377. 35 indexed citations
13.
Sasaki, Eiji, Rama Pai, F Halter, et al.. (1998). Induction of Cyclooxygenase-2 in a Rat Gastric Epithelial Cell Line by Epiregulin and Basic Fibroblast Growth Factor. Journal of Clinical Gastroenterology. 27. S21–S27. 36 indexed citations
14.
Modjtahedi, Helmout, Toshi Komurasaki, Hitoshi Toyoda, & Christopher Dean. (1998). Anti-EGFR monoclonal antibodies which act as EGF, TGFα, HB-EGF and BTC antagonists block the binding of epiregulin to EGFR-expressing tumours. International Journal of Cancer. 75(2). 310–316. 25 indexed citations
15.
Riese, David J., Toshi Komurasaki, Gregory D. Plowman, & David F. Stern. (1998). Activation of ErbB4 by the Bifunctional Epidermal Growth Factor Family Hormone Epiregulin Is Regulated by ErbB2. Journal of Biological Chemistry. 273(18). 11288–11294. 86 indexed citations
16.
Shirakata, Yuji, Toshi Komurasaki, Hitoshi Toyoda, et al.. (1998). Epiregulin, a novel member of EGF family, is an autocrine growth factor for normal human keratinocytes. Journal of Dermatological Science. 16. S8–S8.
17.
Komurasaki, Toshi, Hitoshi Toyoda, Daisuke Uchida, & Shigeo Morimoto. (1997). Epiregulin binds to epidermal growth factor receptor and ErbB-4 and induces tryosine phosphorylation of epidermal growth factor receptor, ErbB-2, ErbB-3 and ErbB-4. Oncogene. 15(23). 2841–2848. 119 indexed citations
18.
Toyoda, Hitoshi, et al.. (1997). Distribution of mRNA for human epiregulin, a differentially expressed member of the epidermal growth factor family. Biochemical Journal. 326(1). 69–75. 109 indexed citations
19.
Isobe, Toshiaki, Hitoshi Toyoda, Toshi Komurasaki, et al.. (1995). Epiregulin. Journal of Biological Chemistry. 270(13). 7495–7500. 234 indexed citations
20.
Miyahara, Tatsuro, et al.. (1980). EFFECT OF CADMIUM ON THE METABOLISM OF BONE MINERAL IN TISSUE CULTURE. Journal of Pharmacobio-Dynamics. 3(4). 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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