Mitsuru Ono

429 citations
19 papers · 366 · h-index 12

Impact in

Papers in

    • Herpesvirus Infections and Treatments 13
    • Cytomegalovirus and herpesvirus research 7
    • Virus-based gene therapy research 8

Mitsuru Ono

19 papers receiving 353 citations

Peers

Mitsuru Ono
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 121
  • Virology 31
  • Epidemiology 205
  • Genetics 92
  • Parasitology 21
Replace Gienke R. Vreugdenhil with:
Gienke R. Vreugdenhil Netherlands
Jizheng Chen China
Linda D. Santomenna United States
Elizabeth Elder United Kingdom
Markus Baiersdörfer Germany
Yves Konigshofer United States
Yanwei Bi China
Alexandre Deloire France
C.Y. Marcos Argentina
A. Spaziani Italy
Mitsuru Ono relative to Gienke R. Vreugdenhil Netherlands Gienke R. Vreugdenhil's profile →
Citations per field
00.5×5.2×
Gienke R. Vreugdenhil · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mitsuru Ono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsuru Ono Line = papers co-authored together Mitsuru Ono links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200571
2 200665
3 200735
4 199426
5 199226
6 199419
7 199418
8 199014
9 199813
10 199413
11 199713
12 199312
13 19909
14 19979
15 19957
16 19977
17 19956
18
19842
19 19901

About Mitsuru Ono

Mitsuru Ono is a scholar working on Epidemiology, Genetics, Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (13 papers), Virus-based gene therapy research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Cytokine Signaling Pathways and Interactions (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Toxoplasma gondii Research Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Virology (31 citations), Epidemiology (205 citations), Genetics (92 citations) and Parasitology (21 citations). Mitsuru Ono has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Peter Rotwein, Dennis J. Chia, Joachim Woelfle, Chieko Kai, Yasushi Kawaguchi, Amilcar Flores‐Morales, Ken Maeda, Honglin Jiang, Roxana Merino-Martinez and Yukinobu Tohya. Their work appears in journals such as Virus Research, Virology, Molecular Endocrinology, Avian Diseases and Journal of Biological Chemistry.

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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