Hiroaki Onda
Impact in
- Physiology top 2%
- Tuberous Sclerosis Complex Research
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Renal and related cancers
- Polyamine Metabolism and Applications
- Metabolism, Diabetes, and Cancer
Papers in
- Physiology 13
- Tuberous Sclerosis Complex Research 13
- Co-authors
- David J. KwiatkowskiHongbing ZhangFrancisca VázquezGregor CicchettiChristopher L. CarpenterHenry KoonHenry B. WarrenPeter Marks
- Journals
- DNA Research (4 papers)Journal of Clinical Investigation (3 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Hiroaki Onda
36 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 112
- Physiology 1.3k
- Molecular Biology 2.2k
- Cancer Research 456
- Oncology 581
- Cell Biology 338
Countries citing papers authored by Hiroaki Onda
This map shows the geographic impact of Hiroaki Onda'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 Hiroaki Onda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Onda more than expected).
Fields of papers citing papers by Hiroaki Onda
This network shows the impact of papers produced by Hiroaki Onda. 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 Hiroaki Onda. The network helps show where Hiroaki Onda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Onda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 4 | |
| 7 | 2017 | 34 | |
| 8 | Building the Scientific Knowledge Mine (SciKnowMine1): a Community-driven Framework for Text Mining Tools in Direct Service to Biocuration. Malta | 2010 | 5 |
| 9 | 2008 | 37 | |
| 10 | 2008 | 8 | |
| 11 | 2007 | 355 | |
| 12 | 2006 | 27 | |
| 13 | 2006 | 78 | |
| 14 | 2005 | 97 | |
| 15 | 2004 | 132 | |
| 16 | 2003 | 432 | |
| 17 | 2002 | 60 | |
| 18 | 2002 | 19 | |
| 19 | 1999 | 309 | |
| 20 | 1991 | 13 |
About Hiroaki Onda
Hiroaki Onda is a scholar working on Applied Microbiology and Biotechnology, Physiology, Biological Psychiatry, Biochemistry and Cancer Research, having authored 36 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (13 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Kruppel-like factors research (5 papers), Silk-based biomaterials and applications (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Renal and related cancers (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Physiology (1.3k citations), Molecular Biology (2.2k citations), Cancer Research (456 citations), Oncology (581 citations) and Cell Biology (338 citations). Hiroaki Onda has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include David J. Kwiatkowski, Hongbing Zhang, Francisca Vázquez, Gregor Cicchetti, Christopher L. Carpenter, Henry Koon, Henry B. Warren, Peter Marks, A. Lueck and Lynsey M. Meikle. Their work appears in journals such as DNA Research, Journal of Clinical Investigation, Scientific Reports, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.