Hiroaki Onda

4.9k citations
36 papers · 3.4k indexed · h-index 22

Impact in

  • Physiology top 2%
    • Tuberous Sclerosis Complex Research
    • PI3K/AKT/mTOR signaling in cancer
    • Renal and related cancers
    • Polyamine Metabolism and Applications
    • Metabolism, Diabetes, and Cancer

Papers in

Hiroaki Onda

36 papers receiving 3.4k citations

Peers

Hiroaki Onda
Comparison fields: 5 of 112
  • Physiology 1.3k
  • Molecular Biology 2.2k
  • Cancer Research 456
  • Oncology 581
  • Cell Biology 338
Replace Lieve Umans with:
Lieve Umans Belgium
Thorsten M. Schlaeger United States
Ben Tycko United States
Peter Pytel United States
Axel M. Hillmer Germany
Vera P. Krymskaya United States
Yasuo Hamamori United States
Frieder Schwenk Germany
Jacqueline J.L. Jacobs Netherlands
Matthew A. Inlay United States
Hiroaki Onda relative to Lieve Umans Belgium Lieve Umans's profile →
Citations per field
00.5×1.5×2.2×
Lieve Umans · 1×
Citations per year

Countries citing papers authored by Hiroaki Onda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20231
4 20223
5 20214
6 20214
7 201734
8
Building the Scientific Knowledge Mine (SciKnowMine1): a Community-driven Framework for Text Mining Tools in Direct Service to Biocuration. Malta
20105
9 200837
10 20088
11 2007355
12 200627
13 200678
14 200597
15 2004132
16 2003432
17 200260
18 200219
19 1999309
20 199113

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.

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