Yutaka Sanai
- Cell Biology top 2%
- Caveolin-1 and cellular processes 9
- Proteoglycans and glycosaminoglycans research 8
- Cellular transport and secretion 6
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 39
- Immunology top 5%
- Galectins and Cancer Biology 13
- Immunology and Allergy top 5%
- Developmental Neuroscience top 10%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Carbohydrate Chemistry and Synthesis 8
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- Virus-based gene therapy research 5
- Co-authors
- Kohji KasaharaYoshitaka NagaiYumiko WatanabeYouichi TajimaTadashi YamamotoMasami Kanai‐AzumaYoshiakira KanaiChoji Taya
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (9 papers)Nature Medicine (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yutaka Sanai
66 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cell Biology 656
- Molecular Biology 2.1k
- Immunology 536
- Immunology and Allergy 106
- Developmental Neuroscience 65
Countries citing papers authored by Yutaka Sanai
This map shows the geographic impact of Yutaka Sanai'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 Yutaka Sanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Sanai more than expected).
Fields of papers citing papers by Yutaka Sanai
This network shows the impact of papers produced by Yutaka Sanai. 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 Yutaka Sanai. The network helps show where Yutaka Sanai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yutaka Sanai, 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 | 2012 | 14 | |
| 2 | 2009 | 42 | |
| 3 | 2007 | 25 | |
| 4 | 2006 | 34 | |
| 5 | 2005 | 46 | |
| 6 | 2004 | 45 | |
| 7 | 2003 | 6 | |
| 8 | 2002 | 46 | |
| 9 | 2001 | 11 | |
| 10 | 2001 | 3 | |
| 11 | 2000 | 20 | |
| 12 | 2000 | 52 | |
| 13 | 1997 | 26 | |
| 14 | 1996 | 7 | |
| 15 | 1996 | 58 | |
| 16 | 1994 | 11 | |
| 17 | 1990 | 6 | |
| 18 | 1988 | 15 | |
| 19 | 1988 | 15 | |
| 20 | 1988 | 19 |
About Yutaka Sanai
Yutaka Sanai is a scholar working on Cell Biology, Immunology and Molecular Biology, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (39 papers), Galectins and Cancer Biology (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Caveolin-1 and cellular processes (9 papers), Proteoglycans and glycosaminoglycans research (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Cellular transport and secretion (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Cell Biology (656 citations), Molecular Biology (2.1k citations) and Immunology (536 citations). Yutaka Sanai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kohji Kasahara, Yoshitaka Nagai, Yumiko Watanabe, Youichi Tajima, Tadashi Yamamoto, Masami Kanai‐Azuma, Yoshiakira Kanai, Choji Taya, Patrick Tam and Jacqueline M. Gad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.