Dai Katayose

1.5k total citations
24 papers, 1.2k citations indexed

About

Dai Katayose is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Dai Katayose has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Biotechnology. Recurrent topics in Dai Katayose's work include Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (8 papers) and Virus-based gene therapy research (6 papers). Dai Katayose is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (8 papers) and Virus-based gene therapy research (6 papers). Dai Katayose collaborates with scholars based in Japan, United States and Nepal. Dai Katayose's co-authors include Prem Seth, Kenneth H. Cowan, Robert P. Wersto, Shigeki Shibahara, Zhuangwu Li, S Isoyama, Min Kim, Caroline Craig, Jean Gudas and Hoang Duc Nguyen and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.

In The Last Decade

Dai Katayose

22 papers receiving 1.2k citations

Peers

Dai Katayose
Sandra Cascio United States
Patricia A. Smanik United States
L.L. Miller United States
Ming Qiu China
Dai Katayose
Citations per year, relative to Dai Katayose Dai Katayose (= 1×) peers Takahiko Kogai

Countries citing papers authored by Dai Katayose

Since Specialization
Citations

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

Fields of papers citing papers by Dai Katayose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Katayose

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Katayose. A scholar is included among the top collaborators of Dai Katayose 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 Dai Katayose. Dai Katayose 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
2.
Takayama, Shin, Muneshige Tobita, Shuichi Ishida, et al.. (2014). Traditional Japanese Medicine Daikenchuto Improves Functional Constipation in Poststroke Patients. Evidence-based Complementary and Alternative Medicine. 2014(1). 231258–231258. 29 indexed citations
3.
Nakayama, Masaaki, Kazuhiro Takahashi, Tomomi Kitamuro, et al.. (2000). Repression of Heme Oxygenase-1 by Hypoxia in Vascular Endothelial Cells. Biochemical and Biophysical Research Communications. 271(3). 665–671. 79 indexed citations
4.
Katayose, Dai, Mototsugu Ninomiya, Masato Endo, & Kunio Shirato. (2000). Preventive Effects of Bakumondo-to (TJ-29) in a Patient with Congestive Heart Failure Associated with Thirst.. Kampo Medicine. 51(1). 23–28.
5.
Takahashi, Yumi, Dai Katayose, & Chiyohiko Shindoh. (1999). Interleukin-13 Prevents Diaphragm Muscle Deterioration in a Septic Animal Model.. The Tohoku Journal of Experimental Medicine. 189(3). 191–202. 9 indexed citations
6.
Kim, Min, Yu Katayose, Qingdi Li, et al.. (1998). Recombinant Adenovirus Expressing Von Hippel-Lindau-Mediated Cell Cycle Arrest Is Associated with the Induction of Cyclin-Dependent Kinase Inhibitor p27Kip1. Biochemical and Biophysical Research Communications. 253(3). 672–677. 48 indexed citations
7.
Craig, Caroline, Min Kim, Robert P. Wersto, et al.. (1998). Effects of adenovirus-mediated p16INK4A expression on cell cycle arrest are determined by endogenous p16 and Rb status in human cancer cells. Oncogene. 16(2). 265–272. 100 indexed citations
8.
Seth, Prem, Dai Katayose, Zhuangwu Li, et al.. (1998). A recombinant adenovirus expressing wild type p53 induces apoptosis in drug-resistant human breast cancer cells: a gene therapy approach for drug-resistant cancers.. PubMed. 4(6). 383–90. 34 indexed citations
9.
Li, Zhuangwu, Naga Shanmugam, Dai Katayose, et al.. (1997). Enzyme/prodrug gene therapy approach for breast cancer using a recombinant adenovirus expressing Escherichia coli cytosine deaminase.. PubMed. 4(2). 113–7. 41 indexed citations
10.
Craig, Caroline, Robert P. Wersto, Min Kim, et al.. (1997). A recombinant adenovirus expressing p27Kip1 induces cell cycle arrest and loss of cyclin-Cdk activity in human breast cancer cells. Oncogene. 14(19). 2283–2289. 175 indexed citations
11.
Seth, Prem, Ulrich Brinkmann, Gretchen N. Schwartz, et al.. (1996). Adenovirus-mediated gene transfer to human breast tumor cells: an approach for cancer gene therapy and bone marrow purging.. PubMed. 56(6). 1346–51. 72 indexed citations
12.
Katayose, Dai, Robert P. Wersto, Kenneth H. Cowan, & Prem Seth. (1995). Consequences of p53 Gene Expression by Adenovirus Vector on Cell Cycle Arrest and Apoptosis in Human Aortic Vascular Smooth Muscle Cells. Biochemical and Biophysical Research Communications. 215(2). 446–451. 34 indexed citations
13.
Srivastava, Shiv, Dai Katayose, Yue Tong, et al.. (1995). Recombinant adenovirus vector expressing wildtype p53 is a potent inhibitor of prostate cancer cell proliferation. Urology. 46(6). 843–848. 31 indexed citations
14.
Katayose, Dai, Jean Gudas, Hoang Duc Nguyen, et al.. (1995). Cytotoxic effects of adenovirus-mediated wild-type p53 protein expression in normal and tumor mammary epithelial cells.. PubMed. 1(8). 889–97. 99 indexed citations
15.
Tajima, Masahiro, et al.. (1994). Acute ischaemic preconditioning and chronic hypoxia independently increase myocardial tolerance to ischaemia. Cardiovascular Research. 28(3). 312–319. 75 indexed citations
16.
Katayose, Dai, S Isoyama, Hiroshi Fujita, & Shigeki Shibahara. (1993). Separate Regulation of Heme Oxygenase and Heat Shock Protein 70 mRNA Expression in the Rat Heart by Hemodynamic Stress. Biochemical and Biophysical Research Communications. 191(2). 587–594. 65 indexed citations
17.
Katayose, Dai, Kohei Yamauchi, Masahiko Ogata, et al.. (1993). Increased expression of PDGF A- and B-chain genes in rat lungs with hypoxic pulmonary hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 264(2). L100–L106. 77 indexed citations
18.
Ogata, Masahiko, et al.. (1992). Hypoxic contraction of pre-stretched human pulmonary artery. Respiration Physiology. 87(1). 105–114. 22 indexed citations
19.
Yamauchi, Kohei, Yasuo Tanno, Yuichi Ohkawara, et al.. (1992). Functional analysis of alternatively spliced transcripts of the human histidine decarboxylase gene and its expression in human tissues and basophilic leukemia cells. European Journal of Biochemistry. 209(2). 533–539. 25 indexed citations
20.
Ogata, Masahiko, et al.. (1992). Modulatory role of EDRF in hypoxic contraction of isolated porcine pulmonary arteries. American Journal of Physiology-Heart and Circulatory Physiology. 262(3). H691–H697. 33 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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