Toshihide Ono

2.1k citations
15 papers · 649 indexed · h-index 8
Topics
Bioinformatics and Genomic Networks (4 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Metabolism, Diabetes, and Cancer (4 papers)
Partner nations
JapanSpainUnited Kingdom

In The Last Decade

Toshihide Ono

15 papers receiving 618 citations

Peers

Toshihide Ono
Comparison fields: 5 of 69
  • Molecular Biology 553
  • Artificial Intelligence 173
  • Computational Theory and Mathematics 110
  • Genetics 40
  • Endocrine and Autonomic Systems 27
Replace Igor Rodchenkov with:
Igor Rodchenkov Canada
C. Paul Morrey United States
Marek Tutaj United States
Cheng Zhu China
Rochelle F. McAdam Canada
Kristen Fortney United States
Shounak Baksi United States
Xing-Ming Zhao China
Ainhoa Nieto United States
Ioannis Iliopoulos Greece
Toshihide Ono relative to Igor Rodchenkov Canada Igor Rodchenkov's profile →
Citations per field
00.5×6.8×
Igor Rodchenkov · 1×
Citations per year

Countries citing papers authored by Toshihide Ono

Since Specialization
Citations

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

Fields of papers citing papers by Toshihide Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihide Ono

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 8
2 23
3 16
4 41
5 1
6 5
7 237
8 7
9 259
10 4
11 7
12 18
13 19
14
Automatic Extraction of Information on Protein-Protein Interaction from Scientific Literature
3
15 1

About Toshihide Ono

Toshihide Ono is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 15 papers that have together received 649 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Molecular Biology (553 citations), Computational Theory and Mathematics (110 citations) and Artificial Intelligence (173 citations). Toshihide Ono has collaborated with scholars based in Japan, Spain and United Kingdom. Frequent co-authors include Akira Tanigami, Toshihisa Takagi, Haretsugu Hishigaki, Kenta Nakai, Yuki Yamasaki, Keiko Oga, Shiro Okuno, Takeshi Watanabe, Shinji Sogo and Takuma Kawakami. Their work appears in journals such as Blood, Bioinformatics and Stem Cells.

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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