Takashi Aoi
- Molecular Biology top 1%
- Pluripotent Stem Cells Research 19
- CRISPR and Genetic Engineering 13
- Renal and related cancers 10
- Developmental Neuroscience top 2%
- Genetics top 2%
- Aging top 5%
- Physiology top 5%
- Biomedical Ethics and Regulation 9
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- Cancer Cells and Metastasis 9
- CAR-T cell therapy research 3
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- Tissue Engineering and Regenerative Medicine 5
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- Reproductive Biology and Fertility 3
- Co-authors
- Shinya YamanakaKeisuke OkitaKazutoshi TakahashiMasato NakagawaTomoko IchisakaKoji TanabeNanako TakizawaYuji Mochiduki
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takashi Aoi
45 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 4.9k
- Developmental Neuroscience 233
- Genetics 400
- Aging 50
- Physiology 694
Countries citing papers authored by Takashi Aoi
This map shows the geographic impact of Takashi Aoi'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 Takashi Aoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Aoi more than expected).
Fields of papers citing papers by Takashi Aoi
This network shows the impact of papers produced by Takashi Aoi. 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 Takashi Aoi. The network helps show where Takashi Aoi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Aoi, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 27 | |
| 11 | 2019 | 40 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 28 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 212 | |
| 17 | Variation in the safety of induced pluripotent stem cell linesbreakdown → | 2009 | 664 |
| 18 | Suppression of induced pluripotent stem cell generation by the p53–p21 pathwaybreakdown → | 2009 | 1036 |
| 19 | Generation of Pluripotent Stem Cells from Adult Mouse Liver and Stomach Cellsbreakdown → | 2008 | 757 |
| 20 | Generation of induced pluripotent stem cells without Myc from mouse and human fibroblastsbreakdown → | 2007 | 2021 |
About Takashi Aoi
Takashi Aoi is a scholar working on Oncology, Molecular Biology and Biological Psychiatry, having authored 48 papers that have together received 5.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (13 papers), Renal and related cancers (10 papers), Cancer Cells and Metastasis (9 papers), Biomedical Ethics and Regulation (9 papers), Tissue Engineering and Regenerative Medicine (5 papers), Reproductive Biology and Fertility (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Molecular Biology (4.9k citations), Developmental Neuroscience (233 citations) and Genetics (400 citations). Takashi Aoi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shinya Yamanaka, Keisuke Okita, Kazutoshi Takahashi, Masato Nakagawa, Tomoko Ichisaka, Koji Tanabe, Nanako Takizawa, Yuji Mochiduki, Osami Kanagawa and Hyenjong Hong.
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.