Kojiro Yae
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- RNA Interference and Gene Delivery
- Genetics top 10%
- Animal Genetics and Reproduction
Papers in
-
- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 6
- Congenital heart defects research 2
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Keisuke Okita (1 shared paper)Tsutomu Chiba (1 shared paper)Shinya Yamanaka (1 shared paper)Masato Nakagawa (1 shared paper)Takashi Aoi (1 shared paper)Tomoko Ichisaka (1 shared paper)Kazutoshi Takahashi (1 shared paper)Shinsuke Yuasa (6 shared papers)
- Journals
- Cell stem cell (2 papers)Molecular and Cellular Biology (2 papers)Circulation (1 paper)Nature Methods (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Kojiro Yae
10 papers receiving 1.6k citations
Kojiro Yae's Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 1.5k
- Genetics 298
- Developmental Neuroscience 39
- Genetics 82
- Physiology 189
Countries citing papers authored by Kojiro Yae
This map shows the geographic impact of Kojiro Yae'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 Kojiro Yae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kojiro Yae more than expected).
Fields of papers citing papers by Kojiro Yae
This network shows the impact of papers produced by Kojiro Yae. 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 Kojiro Yae. The network helps show where Kojiro Yae may publish in the future.
Co-authors
The 25 scholars most cited alongside Kojiro Yae, 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 | Generation of Pluripotent Stem Cells from Adult Mouse Liver and Stomach Cells Hit paper breakdown → | 2008 | 758 |
| 2 | 2010 | 397 | |
| 3 | 2003 | 125 | |
| 4 | 2004 | 107 | |
| 5 | 2005 | 100 | |
| 6 | 2010 | 82 | |
| 7 | 2006 | 44 | |
| 8 | 2014 | 25 | |
| 9 | 2013 | 13 | |
| 10 | 2014 | 11 | |
| 11 | Abstract 2296: Generation of Induced Pluripotent Stem Cells in Healthy Volunteers and Patients With Hereditary Heart Disease | 2009 | 1 |
About Kojiro Yae
Kojiro Yae is a scholar working on Molecular Biology, Plant Science, Surgery, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (3 papers), Animal Genetics and Reproduction (2 papers), Congenital heart defects research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Neuroscience and Neural Engineering (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Genetics (298 citations), Developmental Neuroscience (39 citations), Genetics (82 citations) and Physiology (189 citations). Kojiro Yae has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Keisuke Okita, Tsutomu Chiba, Shinya Yamanaka, Masato Nakagawa, Takashi Aoi, Tomoko Ichisaka, Kazutoshi Takahashi, Shinsuke Yuasa, Tomohisa Seki and Keiichi Fukuda. Their work appears in journals such as Cell stem cell, Molecular and Cellular Biology, Circulation, Nature Methods and PLoS ONE.
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.