Yoko Itahana
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 5
- Cancer-related molecular mechanisms research 5
- Aging top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 15
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 9
- Cancer-related gene regulation 9
- TGF-β signaling in diseases 8
- Epigenetics and DNA Methylation 5
- Metabolism, Diabetes, and Cancer 5
- Physiology top 10%
- Co-authors
- Koji ItahanaYanping ZhangJarnail SinghAiwen JinGoberdhan P. DimriJudith CampisiKrishna BhatKenji Murata
- Cited by
- Cancer ResearchAgingOncology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (5 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Yoko Itahana
40 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 516
- Aging 59
- Oncology 896
- Molecular Biology 2.0k
- Physiology 321
Countries citing papers authored by Yoko Itahana
This map shows the geographic impact of Yoko Itahana'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 Yoko Itahana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Itahana more than expected).
Fields of papers citing papers by Yoko Itahana
This network shows the impact of papers produced by Yoko Itahana. 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 Yoko Itahana. The network helps show where Yoko Itahana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoko Itahana, 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 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2018 | 23 | |
| 5 | 2016 | 27 | |
| 6 | 2014 | 80 | |
| 7 | 2014 | 9 | |
| 8 | 2012 | 67 | |
| 9 | 2012 | 4 | |
| 10 | 2011 | 61 | |
| 11 | 2008 | 58 | |
| 12 | 2008 | 7 | |
| 13 | 2007 | 191 | |
| 14 | 2006 | 21 | |
| 15 | 2003 | 369 | |
| 16 | 2002 | 340 | |
| 17 | 2002 | 58 | |
| 18 | 2002 | 85 | |
| 19 | 2001 | 86 | |
| 20 | A role for Id-1 in the aggressive phenotype and steroid hormone response of human breast cancer cells. | 2000 | 207 |
About Yoko Itahana
Yoko Itahana is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (9 papers), Cancer-related gene regulation (9 papers), TGF-β signaling in diseases (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Cancer Research (516 citations), Aging (59 citations) and Oncology (896 citations). Yoko Itahana has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Koji Itahana, Yanping Zhang, Jarnail Singh, Aiwen Jin, Goberdhan P. Dimri, Judith Campisi, Krishna Bhat, Kenji Murata, Ryûji Kobayashi and David H. Hawke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.