Hiroaki Iwasa

1.1k citations
31 papers · 779 indexed · h-index 13
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms 5
    • Hippo pathway signaling and YAP/TAZ 18
    • Microtubule and mitosis dynamics 3
  • Physiology top 10%
    • Epigenetics and DNA Methylation 4
    • Wnt/β-catenin signaling in development and cancer 4
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 3
    • Cancer-related Molecular Pathways 9

Hiroaki Iwasa

28 papers receiving 769 citations

Peers

Hiroaki Iwasa
Comparison fields: 5 of 82
  • Aging 107
  • Cell Biology 222
  • Physiology 206
  • Molecular Biology 482
  • Cancer Research 74
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Nai-Wen Chi United States
Sébastien Martien France
Constantinos Demetriades Germany
George Talbott United States
Brittany Angarola United States
Fiona L. L. Stratford United Kingdom
Nicolas Malaquin Canada
Peter L.J. de Keizer Netherlands
Hui‐Ling Ou Germany
Valery A. Pospelov Russia
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Citations per field
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Citations per year

Countries citing papers authored by Hiroaki Iwasa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202229
3 202114
4 20211
5 20206
6 20204
7 20204
8 201831
9 20184
10 201725
11 201533
12 201526
13 201525
14 201335
15 201345
16 20128
17 201072
18 2003311
19
[Case of breast cancer associated with Recklinghausen's disease].
19832
20
[Complications in abdominal surgery].
19662

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.

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2026