Takahiro Kunisada
- Cell Biology top 0.2%
- melanin and skin pigmentation 44
- Genetics top 0.5%
- Immunology top 1%
- Molecular Biology top 0.5%
- Pluripotent Stem Cells Research 26
- Developmental Biology and Gene Regulation 17
- CRISPR and Genetic Engineering 13
- Retinal Development and Disorders 13
- Developmental Neuroscience top 1%
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- Cancer Cells and Metastasis 16
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- Cancer Research and Treatments 14
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- Skin Protection and Aging 13
- Co-authors
- Shinichi HayashiMinetaro OgawaHisahiro YoshidaSatomi NishikawaHitomi AokiShin‐Ichi NishikawaShin-Ichi NishikawaTsutomu Motohashi
- Cited by
- Cell BiologyGeneticsImmunology
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takahiro Kunisada
208 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cell Biology 2.1k
- Genetics 1.3k
- Immunology 2.4k
- Molecular Biology 7.1k
- Developmental Neuroscience 385
Countries citing papers authored by Takahiro Kunisada
This map shows the geographic impact of Takahiro Kunisada'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 Takahiro Kunisada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Kunisada more than expected).
Fields of papers citing papers by Takahiro Kunisada
This network shows the impact of papers produced by Takahiro Kunisada. 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 Takahiro Kunisada. The network helps show where Takahiro Kunisada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahiro Kunisada, 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 | 2020 | 6 | |
| 2 | 2018 | 4 | |
| 3 | 2017 | 7 | |
| 4 | 2013 | 31 | |
| 5 | 2010 | 13 | |
| 6 | 2008 | 34 | |
| 7 | 2007 | 73 | |
| 8 | 2007 | 57 | |
| 9 | 2006 | 12 | |
| 10 | 2005 | 13 | |
| 11 | 2003 | 18 | |
| 12 | 2001 | 73 | |
| 13 | 2001 | 119 | |
| 14 | 2001 | 12 | |
| 15 | 1999 | 1 | |
| 16 | 1999 | 89 | |
| 17 | 1997 | 185 | |
| 18 | 1993 | 20 | |
| 19 | 1988 | 163 | |
| 20 | 1987 | 25 |
About Takahiro Kunisada
Takahiro Kunisada is a scholar working on Cell Biology, Cancer Research and Urology, having authored 209 papers that have together received 12.6k indexed citations. Recurring topics across this work include melanin and skin pigmentation (44 papers), Pluripotent Stem Cells Research (26 papers), Developmental Biology and Gene Regulation (17 papers), Cancer Cells and Metastasis (16 papers), Cancer Research and Treatments (14 papers), CRISPR and Genetic Engineering (13 papers), Skin Protection and Aging (13 papers) and Retinal Development and Disorders (13 papers). The work is most often cited by research in Cell Biology (2.1k citations), Genetics (1.3k citations) and Immunology (2.4k citations). Takahiro Kunisada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shinichi Hayashi, Minetaro Ogawa, Hisahiro Yoshida, Satomi Nishikawa, Hitomi Aoki, Shin‐Ichi Nishikawa, Shin-Ichi Nishikawa, Tsutomu Motohashi, Leonard D. Shultz and Tetsuo Sudo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.