Hiroaki Iwasa
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 5
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 18
- Microtubule and mitosis dynamics 3
- Physiology top 10%
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- Epigenetics and DNA Methylation 4
- Wnt/β-catenin signaling in development and cancer 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 3
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- Cancer-related Molecular Pathways 9
- Co-authors
- Fuyuki IshikawaJiahuai HanYutaka HataKentaro NakagawaJunichi MaruyamaSimon YuMonica DriscollJian Xue
- Cited by
- AgingCell BiologyPhysiology
- Journals
- Experimental Cell Research (4 papers)Genes to Cells (4 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- JapanChinaBangladesh
In The Last Decade
Hiroaki Iwasa
28 papers receiving 769 citations
Peers
Comparison fields: 5 of 82
- Aging 107
- Cell Biology 222
- Physiology 206
- Molecular Biology 482
- Cancer Research 74
Countries citing papers authored by Hiroaki Iwasa
This map shows the geographic impact of Hiroaki Iwasa'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 Iwasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Iwasa more than expected).
Fields of papers citing papers by Hiroaki Iwasa
This network shows the impact of papers produced by Hiroaki Iwasa. 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 Iwasa. The network helps show where Hiroaki Iwasa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroaki Iwasa, 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 | 2025 | 0 | |
| 2 | 2022 | 29 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2018 | 31 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 25 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2013 | 35 | |
| 15 | 2013 | 45 | |
| 16 | 2012 | 8 | |
| 17 | 2010 | 72 | |
| 18 | 2003 | 311 | |
| 19 | [Case of breast cancer associated with Recklinghausen's disease]. | 1983 | 2 |
| 20 | [Complications in abdominal surgery]. | 1966 | 2 |
About Hiroaki Iwasa
Hiroaki Iwasa is a scholar working on Aging, Cell Biology and Oncology, having authored 31 papers that have together received 779 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (18 papers), Cancer-related Molecular Pathways (9 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Epigenetics and DNA Methylation (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (107 citations), Cell Biology (222 citations) and Physiology (206 citations). Hiroaki Iwasa has collaborated with scholars based in Japan, China and Bangladesh. Frequent co-authors include Fuyuki Ishikawa, Jiahuai Han, Yutaka Hata, Kentaro Nakagawa, Junichi Maruyama, Simon Yu, Monica Driscoll, Jian Xue, Shakhawoat Hossain and Mari Ishigami‐Yuasa. Their work appears in journals such as Experimental Cell Research, Genes to Cells, Molecular and Cellular Biology, Journal of Biological Chemistry and Cancer Science.
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.