Masato Ono

92 papers receiving 1.7k citations

Peers

Masato Ono
Comparison fields: 5 of 111
  • Insect Science 700
  • Ecology, Evolution, Behavior and Systematics 715
  • Genetics 734
  • Oncology 464
  • Gastroenterology 60
Replace Norimitsu Tanaka with:
Norimitsu Tanaka Japan
Yoshinobu Hayashi Japan
Christof Schneider Germany
Monica S. Thakar United States
Theodore A Smith United States
Shira Gal Israel
John Jakubczak United States
Laura Valerio Italy
Zoltán Á. Nagy Hungary
Hayat Dagher Australia
Masato Ono relative to Norimitsu Tanaka Japan Norimitsu Tanaka's profile →
Citations per field
00.5×10×12.9×
Norimitsu Tanaka · 1×
Citations per year

Countries citing papers authored by Masato Ono

Since Specialization
Citations

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

Fields of papers citing papers by Masato Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masato 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 Masato Ono Line = papers co-authored together Masato Ono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995173
2 2004130
3 200498
4 198590
5 200369
6 200365
7 200561
8 200356
9 200448
10 199548
11 200443
12 200843
13 201943
14 198241
15 200840
16 200935
17 201235
18 200634
19 199629
20 201128

About Masato Ono

Masato Ono is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Oncology and Surgery, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant and animal studies (47 papers), Insect and Arachnid Ecology and Behavior (39 papers), Insect and Pesticide Research (38 papers), Colorectal Cancer Surgical Treatments (11 papers), Metastasis and carcinoma case studies (8 papers), Gastric Cancer Management and Outcomes (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Colorectal Cancer Treatments and Studies (6 papers). The work is most often cited by research in Insect Science (700 citations), Ecology, Evolution, Behavior and Systematics (715 citations), Genetics (734 citations), Oncology (464 citations) and Gastroenterology (60 citations). Masato Ono has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masami Sasaki, Takeo Kubo, Masanori Sugito, Norio Saito, Masaaki Ito, Tetsuhiko Sasaki, Seii Ohka, Akio Nomoto, Tomoko Fujiyuki and Hideaki Takeuchi. Their work appears in journals such as Scientific Reports, Journal of Virology, Journal of Insect Physiology, Die Naturwissenschaften and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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