Shin Kawamata
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 24
- CRISPR and Genetic Engineering 17
- Retinal Development and Disorders 5
- Genetics top 5%
- Mesenchymal stem cell research 7
- Virus-based gene therapy research 4
- Immunology top 10%
- T-cell and Retrovirus Studies 5
- Developmental Neuroscience top 10%
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- Tissue Engineering and Regenerative Medicine 7
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- 3D Printing in Biomedical Research 6
- Co-authors
- Naoki NishishitaToshiyuki HoriMasayuki ShikamuraNozomi TakadaAkihiro ImuraShin-Ichi NishikawaChiemi TakenakaTakashi Uchiyama
- Cited by
- Molecular BiologyGeneticsImmunology
- Journals
- Scientific Reports (6 papers)PLoS ONE (6 papers)Stem Cells Translational Medicine (4 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shin Kawamata
62 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.7k
- Genetics 248
- Immunology 415
- Developmental Neuroscience 69
- Cellular and Molecular Neuroscience 203
Countries citing papers authored by Shin Kawamata
This map shows the geographic impact of Shin Kawamata'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 Shin Kawamata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin Kawamata more than expected).
Fields of papers citing papers by Shin Kawamata
This network shows the impact of papers produced by Shin Kawamata. 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 Shin Kawamata. The network helps show where Shin Kawamata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shin Kawamata, 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 | 29 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 106 | |
| 4 | 2019 | 45 | |
| 5 | 2018 | 22 | |
| 6 | 2015 | 39 | |
| 7 | 2015 | 33 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 25 | |
| 10 | Local transplantation of granulocyte colony-stimulating factor-mobilized human peripheral blood mononuclear cells for unhealing bone fractures. | 2012 | 9 |
| 11 | 2012 | 110 | |
| 12 | 2011 | 420 | |
| 13 | 2010 | 52 | |
| 14 | 2010 | 11 | |
| 15 | 2009 | 52 | |
| 16 | 2007 | 19 | |
| 17 | 2006 | 29 | |
| 18 | 2002 | 26 | |
| 19 | 1998 | 7 | |
| 20 | 1996 | 18 |
About Shin Kawamata
Shin Kawamata is a scholar working on Genetics, Immunology and Molecular Biology, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (17 papers), Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (7 papers), 3D Printing in Biomedical Research (6 papers), T-cell and Retrovirus Studies (5 papers), Retinal Development and Disorders (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (248 citations) and Immunology (415 citations). Shin Kawamata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Naoki Nishishita, Toshiyuki Hori, Masayuki Shikamura, Nozomi Takada, Akihiro Imura, Shin-Ichi Nishikawa, Chiemi Takenaka, Takashi Uchiyama, Masayo Takahashi and Noemi Fusaki. Their work appears in journals such as Scientific Reports, PLoS ONE, Stem Cells Translational Medicine, Blood and Cell Transplantation.
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.