Mitsuru Ono

429 total citations
19 papers, 366 citations indexed

About

Mitsuru Ono is a scholar working on Epidemiology, Genetics and Molecular Biology. According to data from OpenAlex, Mitsuru Ono has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Mitsuru Ono's work include Herpesvirus Infections and Treatments (13 papers), Virus-based gene therapy research (8 papers) and Cytomegalovirus and herpesvirus research (7 papers). Mitsuru Ono is often cited by papers focused on Herpesvirus Infections and Treatments (13 papers), Virus-based gene therapy research (8 papers) and Cytomegalovirus and herpesvirus research (7 papers). Mitsuru Ono collaborates with scholars based in Japan, United States and Sweden. Mitsuru Ono's co-authors include Peter Rotwein, Dennis J. Chia, Joachim Woelfle, Chieko Kai, Yasushi Kawaguchi, Honglin Jiang, Roxana Merino-Martinez, Ken Maeda, Amilcar Flores‐Morales and Yukinobu Tohya and has published in prestigious journals such as Journal of Biological Chemistry, Virology and Molecular Endocrinology.

In The Last Decade

Mitsuru Ono

19 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuru Ono Japan 12 205 121 98 92 76 19 366
Gienke R. Vreugdenhil Netherlands 7 84 0.4× 70 0.6× 70 0.7× 194 2.1× 38 0.5× 9 394
Brigitte Nicolas France 9 53 0.3× 65 0.5× 175 1.8× 78 0.8× 49 0.6× 15 426
Linda D. Santomenna United States 8 230 1.1× 33 0.3× 211 2.2× 28 0.3× 31 0.4× 9 405
Yanwei Bi China 9 131 0.6× 13 0.1× 190 1.9× 66 0.7× 35 0.5× 14 323
Lauren Peter United States 7 68 0.3× 28 0.2× 300 3.1× 67 0.7× 27 0.4× 10 438
C.Y. Marcos Argentina 11 118 0.6× 44 0.4× 55 0.6× 88 1.0× 13 0.2× 17 658
Jizheng Chen China 16 219 1.1× 16 0.1× 263 2.7× 37 0.4× 70 0.9× 30 589
A. Spaziani Italy 10 89 0.4× 26 0.2× 101 1.0× 21 0.2× 37 0.5× 15 335
Elizabeth Elder United Kingdom 12 188 0.9× 21 0.2× 109 1.1× 38 0.4× 29 0.4× 15 369
Khaja K. Rehman United States 7 32 0.2× 45 0.4× 122 1.2× 188 2.0× 22 0.3× 9 346

Countries citing papers authored by Mitsuru Ono

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Ono

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

All Works

19 of 19 papers shown
1.
2.
Vidal, Oscar M., Roxana Merino-Martinez, Elizabeth Rico-Bautista, et al.. (2006). In Vivo Transcript Profiling and Phylogenetic Analysis Identifies Suppressor of Cytokine Signaling 2 as a Direct Signal Transducer and Activator of Transcription 5b Target in Liver. Molecular Endocrinology. 21(1). 293–311. 65 indexed citations
3.
Chia, Dennis J., et al.. (2005). Characterization of Distinct Stat5b Binding Sites That Mediate Growth Hormone-stimulated IGF-I Gene Transcription. Journal of Biological Chemistry. 281(6). 3190–3197. 71 indexed citations
4.
Ono, Mitsuru, Tae‐Jong Kim, Yoshihiro Izumiya, et al.. (1998). The genetic organization and transcriptional analysis of the short unique region in the genome of nononcogenic Marek's disease virus serotype 2. Virus Research. 58(1-2). 137–147. 13 indexed citations
5.
Maeda, Ken, Mitsuru Ono, Yasushi Kawaguchi, et al.. (1997). Adhesion of Insect Cells Expressing the Feline Herpesvirus Type 1 Hemagglutinin(gD) to Feline Cell Lines.. Journal of Veterinary Medical Science. 59(3). 217–219. 9 indexed citations
6.
Maeda, Ken, Xuenan Xuan, Yasushi Kawaguchi, et al.. (1997). Characterization of Canine Herpesvirus Glycoprotein D (Hemagglutinin).. Journal of Veterinary Medical Science. 59(11). 1003–1009. 7 indexed citations
7.
Jang, Hyung‐Kwan, et al.. (1997). Identification and DNA Sequence Analysis of the Marek's Disease Virus Serotype 2 Gene Homologous to the Herpes Simplex Virus Type 1 Glycoprotein H.. Journal of Veterinary Medical Science. 59(8). 629–634. 13 indexed citations
8.
Ono, Mitsuru, Hyung‐Kwan Jang, Ken Maeda, et al.. (1995). Preparation of monoclonal antibodies against Marek's disease virus serotype 1 glycoprotein D expressed by a recombinant baculovirus. Virus Research. 38(2-3). 219–230. 6 indexed citations
9.
Ono, Mitsuru, Ken Maeda, Yasushi Kawaguchi, et al.. (1995). Expression of Marek's disease virus (MDV) serotype 2 gene which has partial homology with MDV serotype 1 pp38 gene. Virus Research. 35(2). 223–229. 7 indexed citations
10.
Kawaguchi, Yasushi, Ken Maeda, Takayuki Miyazawa, et al.. (1994). Nucleotide Sequence and Characterization of the Feline Herpesvirus Type 1 Immediate Early Gene. Virology. 204(1). 430–435. 13 indexed citations
11.
Maeda, Ken, Yasushi Kawaguchi, Mitsuru Ono, et al.. (1994). A gD Homologous Gene of Feline Herpesvirus Type I Encodes a Hemagglutinin (gp60). Virology. 202(2). 1034–1038. 26 indexed citations
12.
Ono, Mitsuru, Yasushi Kawaguchi, Ken Maeda, et al.. (1994). Nucleotide Sequence Analysis of Marek's Disease Virus (MDV) Serotype 2 Homolog of MDV Serotype 1 pp38, an Antigen Associated with Transformed Cells. Virology. 201(1). 142–146. 19 indexed citations
13.
14.
Kitazawa, Taro, Mitsuru Ono, Ken Maeda, et al.. (1993). Nucleotide Sequence of the Glycoprotein C(gC) Homologous Gene of Marek's Disease Virus(MDV) Serotype 2 and Comparison of gC Homologous Genes among Three Serotypes of MDV.. Journal of Veterinary Medical Science. 55(6). 985–990. 12 indexed citations
15.
Ono, Mitsuru, Taisuke Horimoto, Masahiro Niikura, et al.. (1992). The restriction endonuclease map of Marek's disease virus (MDV) serotype 2 and collinear relationship among three serotypes of MDV. Virology. 191(1). 459–463. 26 indexed citations
16.
Lin, James A., et al.. (1990). Isolation of Serotype 2 Marek's Disease Virus from Birds Belonging to Genus Gallus in Japan. Avian Diseases. 34(2). 336–336. 14 indexed citations
17.
Xuan, Xuenan, Taisuke Horimoto, Mitsuru Ono, et al.. (1990). Restriction endonuclease analysis of canine herpesviruses isolated in Japan.. The Japanese Journal of Veterinary Science. 52(6). 1181–1188. 9 indexed citations
18.
Ono, Mitsuru, et al.. (1990). Separation of Marek's disease virus DNA by field inversion gel electrophoresis.. The Japanese Journal of Veterinary Science. 52(6). 1301–1304. 1 indexed citations
19.
Ono, Mitsuru & Takashi Ishizaki. (1984). . Kanzo. 25(5). 682–687. 2 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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