Hideyo Ugai

1.4k total citations
47 papers, 1.1k citations indexed

About

Hideyo Ugai is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Hideyo Ugai has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 29 papers in Genetics and 9 papers in Oncology. Recurrent topics in Hideyo Ugai's work include Virus-based gene therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and RNA Interference and Gene Delivery (11 papers). Hideyo Ugai is often cited by papers focused on Virus-based gene therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and RNA Interference and Gene Delivery (11 papers). Hideyo Ugai collaborates with scholars based in Japan, United States and China. Hideyo Ugai's co-authors include Kazunari K. Yokoyama, Takehide Murata, Jun Song, David T. Curiel, Yuichi Obata, Shigeo Saito, Ken Sawai, Kailai Sun, Yusuke Yamamoto and Akira MINAMIHASHI and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Hideyo Ugai

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hideyo Ugai Japan	18	895	473	216	97	85	47	1.1k
Oliver Frank Germany	15	1.0k 1.1×	593 1.3×	240 1.1×	148 1.5×	67 0.8×	19	1.5k
Abel Acosta‐Sanchez Belgium	7	882 1.0×	560 1.2×	192 0.9×	152 1.6×	54 0.6×	8	1.2k
Uwe Werling United States	13	1.2k 1.4×	335 0.7×	136 0.6×	137 1.4×	35 0.4×	16	1.5k
Emmanuel Payen France	23	1.0k 1.2×	795 1.7×	109 0.5×	71 0.7×	173 2.0×	46	1.6k
Matthew C. Canver United States	22	2.0k 2.3×	511 1.1×	118 0.5×	113 1.2×	107 1.3×	44	2.6k
H Ariga Japan	18	905 1.0×	286 0.6×	198 0.9×	190 2.0×	74 0.9×	39	1.3k
Jeanne R. McLachlin United States	17	885 1.0×	587 1.2×	140 0.6×	101 1.0×	50 0.6×	23	1.1k
David A. Shivak United States	9	856 1.0×	508 1.1×	192 0.9×	57 0.6×	35 0.4×	10	1.0k
Mark H.C. Lam Australia	12	976 1.1×	169 0.4×	278 1.3×	107 1.1×	41 0.5×	12	1.2k

Countries citing papers authored by Hideyo Ugai

Since Specialization

Citations

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

Fields of papers citing papers by Hideyo Ugai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyo Ugai

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyo Ugai. A scholar is included among the top collaborators of Hideyo Ugai 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 Hideyo Ugai. Hideyo Ugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ugai, Hideyo, et al.. (2018). Characterization of a recombinant Bacteroides fragilis sialidase expressed in Escherichia coli. Anaerobe. 50. 69–75. 16 indexed citations

Ugai, Hideyo, et al.. (2015). A Multi Targeting Conditionally Replicating Adenovirus Displays Enhanced Oncolysis while Maintaining Expression of Immunotherapeutic Agents. PLoS ONE. 10(12). e0145272–e0145272. 10 indexed citations

Uchino, Junji, David T. Curiel, & Hideyo Ugai. (2014). Species D Human Adenovirus Type 9 Exhibits Better Virus-Spread Ability for Antitumor Efficacy among Alternative Serotypes. PLoS ONE. 9(2). e87342–e87342. 10 indexed citations

Ugai, Hideyo, et al.. (2012). Adenoviral protein V promotes a process of viral assembly through nucleophosmin 1. Virology. 432(2). 283–295. 25 indexed citations

Li, Jing, Svetlana V. Komarova, Hideyo Ugai, et al.. (2010). Evaluation of adenovirus capsid labeling versus transgene expression. Virology Journal. 7(1). 21–21. 4 indexed citations

Murakami, Miho, Hideyo Ugai, Minghui Wang, et al.. (2010). An adenoviral vector expressing human adenovirus 5 and 3 fiber proteins for targeting heterogeneous cell populations. Virology. 407(2). 196–205. 11 indexed citations

Murakami, Miho, Hideyo Ugai, Н. В. Белоусова, et al.. (2009). Chimeric adenoviral vectors incorporating a fiber of human adenovirus 3 efficiently mediate gene transfer into prostate cancer cells. The Prostate. 70(4). 362–376. 20 indexed citations

Han, Tie, et al.. (2007). Genetic incorporation of the protein transduction domain of Tat into Ad5 fiber enhances gene transfer efficacy. Virology Journal. 4(1). 103–103. 12 indexed citations

Nakade, Koji, Jiaping Pan, Atsushi Yoshiki, et al.. (2007). JDP2 suppresses adipocyte differentiation by regulating histone acetylation. Cell Death and Differentiation. 14(8). 1398–1405. 45 indexed citations

10.

Sawai, Ken, et al.. (2006). Derivation, Maintenance, and Induction of the Differentiation In Vitro of Equine Embryonic Stem Cells. Humana Press eBooks. 329. 59–80. 17 indexed citations

11.

Ugai, Hideyo, Takehide Murata, Yoshihiro Ugawa, et al.. (2005). A database of recombinant viruses and recombinant viral vectors available from the RIKEN DNA bank. The Journal of Gene Medicine. 7(9). 1148–1157. 3 indexed citations

12.

Ugai, Hideyo, et al.. (2003). K-562 cells lack MHC class II expression due to an alternatively spliced CIITA transcript with a truncated coding region. Leukemia Research. 27(11). 1027–1038. 11 indexed citations

13.

Saito, Shigeo, Hideyo Ugai, Ken Sawai, et al.. (2002). Isolation of embryonic stem‐like cells from equine blastocysts and their differentiation in vitro¹. FEBS Letters. 531(3). 389–396. 111 indexed citations

14.

Jin, Chunyuan, Hui Li, Hideyo Ugai, Takehide Murata, & Kazunari K. Yokoyama. (2002). Transcriptional regulation of the c-jun gene by AP-1 repressor protein JDP2 during the differentiation of F9 cells. Nucleic Acids Symposium Series. 2(1). 97–98. 5 indexed citations

15.

Ugai, Hideyo, et al.. (2002). Roles of histone acetylation in the Dnmtl gene expression. Nucleic Acids Symposium Series. 2(1). 209–210. 9 indexed citations

16.

Jin, Chunyuan, Hideyo Ugai, Jun Song, et al.. (2001). Identification of mouse Jun dimerization protein 2 as a novel repressor of ATF‐2. FEBS Letters. 489(1). 34–41. 71 indexed citations

17.

Song, Jun, et al.. (2000). The Multiple Roles of The Transcription Factors MAZ and Pur-1, Two Proteins encoded by Housekeeping Genes. Current Genomics. 1(2). 175–187. 2 indexed citations

18.

Ono, Takashi, Hirotake Kitaura, Hideyo Ugai, et al.. (2000). TOK-1, a Novel p21Cip1-binding Protein That Cooperatively Enhances p21-dependent Inhibitory Activity toward CDK2 Kinase. Journal of Biological Chemistry. 275(40). 31145–31154. 69 indexed citations

19.

Song, Jun, et al.. (1999). Structural organization and expression of the mouse gene for Pur‐1,  a highly conserved homolog of the human MAZ gene. European Journal of Biochemistry. 259(3). 676–683. 14 indexed citations

20.

Ugai, Hideyo, Kiyoshi Uchida, Hiroaki Kawasaki, & Kazunari K. Yokoyama. (1999). The coactivators p300 and CBP have different functions during the differentiation of F9 cells. Journal of Molecular Medicine. 77(6). 481–494. 31 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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