Ken Umemura

1.7k total citations
33 papers, 1.3k citations indexed

About

Ken Umemura is a scholar working on Molecular Biology, Organic Chemistry and Toxicology. According to data from OpenAlex, Ken Umemura has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Organic Chemistry and 5 papers in Toxicology. Recurrent topics in Ken Umemura's work include Fungal and yeast genetics research (7 papers), Bioactive Compounds and Antitumor Agents (5 papers) and Cancer therapeutics and mechanisms (5 papers). Ken Umemura is often cited by papers focused on Fungal and yeast genetics research (7 papers), Bioactive Compounds and Antitumor Agents (5 papers) and Cancer therapeutics and mechanisms (5 papers). Ken Umemura collaborates with scholars based in Japan and United States. Ken Umemura's co-authors include Hideo Kimura, Kazuyuki Ishii, Yuki Ogasawara, Mari Ishigami, Keiko Hiraki-Kamon, Yuka Kimura, Yasuo Nagai, Haruyuki Atomi, Tamotsu Kanai and Mitsuyoshi Ueda and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

Ken Umemura

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Umemura Japan 15 628 449 237 213 148 33 1.3k
Jeffrey R. Koenitzer United States 11 584 0.9× 350 0.8× 191 0.8× 281 1.3× 122 0.8× 18 1.1k
Wayne Kleinman United States 14 350 0.6× 699 1.6× 97 0.4× 170 0.8× 110 0.7× 18 1.7k
Zhizhong Xie China 17 552 0.9× 652 1.5× 98 0.4× 147 0.7× 56 0.4× 55 1.4k
Xuming Jia Canada 12 588 0.9× 253 0.6× 149 0.6× 217 1.0× 262 1.8× 17 1.1k
T Ubuka Japan 17 596 0.9× 349 0.8× 92 0.4× 192 0.9× 111 0.8× 93 1.1k
Ashley Untereiner Canada 16 927 1.5× 479 1.1× 141 0.6× 352 1.7× 41 0.3× 19 1.4k
Sadia K. Gazi United States 4 1.4k 2.2× 632 1.4× 303 1.3× 387 1.8× 56 0.4× 5 1.7k
Valentina Vellecco Italy 30 992 1.6× 887 2.0× 277 1.2× 530 2.5× 34 0.2× 63 2.2k
Allen M. Miles United States 17 407 0.6× 354 0.8× 100 0.4× 918 4.3× 60 0.4× 23 1.5k
Na Young Jeong South Korea 19 291 0.5× 437 1.0× 93 0.4× 211 1.0× 22 0.1× 47 1.1k

Countries citing papers authored by Ken Umemura

Since Specialization
Citations

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

Fields of papers citing papers by Ken Umemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Umemura

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Umemura. A scholar is included among the top collaborators of Ken Umemura 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 Ken Umemura. Ken Umemura 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.
Shiga, Hisashi, Yoshitaka Kinouchi, Seiichi Takahashi, et al.. (2018). Long‐term course of inflammatory bowel disease after the Great East Japan Earthquake. Journal of Gastroenterology and Hepatology. 33(12). 1956–1960. 8 indexed citations
2.
Sato, Hitoshi, et al.. (2017). Interstitial nephritis associated with ulcerative colitis in monozygotic twins. BMJ Case Reports. 2017. bcr2016218346–bcr2016218346. 6 indexed citations
3.
Umemura, Ken, Sho Takagi, Takenobu Shimada, et al.. (2012). Prognostic and Diagnostic Significance of Tumor Budding Associated with β-Catenin Expression in Submucosal Invasive Colorectal Carcinoma. The Tohoku Journal of Experimental Medicine. 229(1). 53–59. 12 indexed citations
4.
Kakefuda, Kenichi, Yasunori Fujita, Atsushi Oyagi, et al.. (2009). Sirtuin 1 overexpression mice show a reference memory deficit, but not neuroprotection. Biochemical and Biophysical Research Communications. 387(4). 784–788. 65 indexed citations
5.
Umemura, Ken, Tomohiro Itoh, Nanako Hamada, et al.. (2008). Preconditioning by sesquiterpene lactone enhances H2O2-induced Nrf2/ARE activation. Biochemical and Biophysical Research Communications. 368(4). 948–954. 51 indexed citations
6.
Umemura, Ken, Sho Takagi, Yasushi Ishigaki, et al.. (2008). Gastrointestinal polyposis with esophageal polyposis is useful for early diagnosis of Cowden’s disease. World Journal of Gastroenterology. 14(37). 5755–5755. 16 indexed citations
7.
Umemura, Ken, Nobuyuki Yamashita, Kunimasa Arima, et al.. (2006). Autotaxin expression is enhanced in frontal cortex of Alzheimer-type dementia patients. Neuroscience Letters. 400(1-2). 97–100. 55 indexed citations
8.
Kimura, Hideo, Yasuo Nagai, Ken Umemura, & Yuka Kimura. (2005). Physiological Roles of Hydrogen Sulfide: Synaptic Modulation, Neuroprotection, and Smooth Muscle Relaxation. Antioxidants and Redox Signaling. 7(5-6). 795–803. 194 indexed citations
9.
10.
Andoh, Toshiwo, Ken Umemura, Kae Yanase, & Noriko Takahashi. (2004). [Screening of DNA topoisomerase inhibitors].. PubMed. 31(4). 495–500. 1 indexed citations
11.
Yamada, Takeshi, Chika Iwamoto, Katsuhiko Minoura, et al.. (2002). Leptosins M–N1, cytotoxic metabolites from a Leptosphaeria species separated from a marine alga. Structure determination and biological activities. Tetrahedron. 58(3). 479–487. 54 indexed citations
12.
Sato, Seiichi, et al.. (2000). Inhibition of DNA Topoisomerases by Nidulalin A Derivatives.. Biological and Pharmaceutical Bulletin. 23(4). 511–512. 8 indexed citations
13.
Sato, Seiichi, et al.. (1999). Syntheses of novel antitumor dihydroxanthone derivatives with inhibitory activity against DNA topoisomerase II. Bioorganic & Medicinal Chemistry Letters. 9(18). 2653–2656. 17 indexed citations
14.
Kanai, Tamotsu, et al.. (1998). A regulatory factor, Fil1p, involved in derepression of the isocitrate lyase gene in Saccharomyces cerevisiae. European Journal of Biochemistry. 256(1). 212–220. 18 indexed citations
15.
16.
Umemura, Ken, et al.. (1997). Analysis of carbon source-regulated gene expression by the upstream region of the Candida tropicalis malate synthase gene in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1350(1). 80–88. 3 indexed citations
17.
Kanai, Tamotsu, Haruyuki Atomi, Ken Umemura, et al.. (1996). A novel heterologous gene expression system inSaccharomyces cerevisiae using the isocitrate lyase gene promoter fromCandida tropicalis. Applied Microbiology and Biotechnology. 44(6). 759–765. 53 indexed citations
18.
Atomi, Haruyuki, Ken Umemura, Mitsuyoshi Ueda, & Atsuo Tanaka. (1996). Transcriptional Regulation of Peroxisomal Glyoxylate Cycle Enzymes of an n‐Alkane‐Assimilating Yeast, Candida tropicalis. Annals of the New York Academy of Sciences. 804(1). 684–686. 3 indexed citations
19.
20.
Umemura, Ken, Haruyuki Atomi, Tamotsu Kanai, et al.. (1995). A novel promoter, derived from the isocitrate lyase gene of Candida tropicalis, inducible with acetate in Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 43(3). 489–492. 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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