Kunitoshi Chiba
Impact in
- Aging top 5%
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
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- Pluripotent Stem Cells Research 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
-
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Dirk Hockemeyer (6 shared papers)Jacob M. Vogan (2 shared papers)John M. Boyle (1 shared paper)Tina Wagner (1 shared paper)Yuki Yamaguchi (2 shared papers)Hiroshi Handa (2 shared papers)Junichi Yamamoto (2 shared papers)Franziska K. Lorbeer (1 shared paper)
- Journals
- Stem Cell Reports (2 papers)Nature Communications (1 paper)eLife (1 paper)Nature Structural & Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Kunitoshi Chiba
11 papers receiving 742 citations
Peers
Comparison fields: 5 of 63
- Aging 38
- Physiology 248
- Molecular Biology 520
- Biotechnology 61
- Cancer Research 72
Countries citing papers authored by Kunitoshi Chiba
This map shows the geographic impact of Kunitoshi Chiba'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 Kunitoshi Chiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunitoshi Chiba more than expected).
Fields of papers citing papers by Kunitoshi Chiba
This network shows the impact of papers produced by Kunitoshi Chiba. 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 Kunitoshi Chiba. The network helps show where Kunitoshi Chiba may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunitoshi Chiba, 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 | 2017 | 204 | |
| 2 | 2015 | 200 | |
| 3 | 2012 | 78 | |
| 4 | 2014 | 77 | |
| 5 | 2014 | 71 | |
| 6 | 2010 | 38 | |
| 7 | 2015 | 31 | |
| 8 | 2014 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 2014 | 1 |
About Kunitoshi Chiba
Kunitoshi Chiba is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Cancer Research, having authored 11 papers that have together received 747 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Telomeres, Telomerase, and Senescence (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (38 citations), Physiology (248 citations), Molecular Biology (520 citations), Biotechnology (61 citations) and Cancer Research (72 citations). Kunitoshi Chiba has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Dirk Hockemeyer, Jacob M. Vogan, John M. Boyle, Tina Wagner, Yuki Yamaguchi, Hiroshi Handa, Junichi Yamamoto, Franziska K. Lorbeer, Eva Schruf and Xavier Darzacq. Their work appears in journals such as Stem Cell Reports, Nature Communications, eLife, Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences.
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.