Kazutoshi Sayama
- Biochemistry top 5%
- Biological Psychiatry top 10%
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- Tea Polyphenols and Effects 9
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- RNA Interference and Gene Delivery 4
- Cell death mechanisms and regulation 3
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- Immunotherapy and Immune Responses 3
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- Adipose Tissue and Metabolism 3
- Diet and metabolism studies 2
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- NF-κB Signaling Pathways 3
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- Virus-based gene therapy research 2
- Co-authors
- Itaro OguniGuodong ZhengTsutomu ŌkuboLekh Raj JunejaKayoko ShimoiHitomi TakemuraBao Ting ZhuAiro Tsubura
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)Chemical Communications (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazutoshi Sayama
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Biochemistry 157
- Biological Psychiatry 52
- Pathology and Forensic Medicine 316
- Applied Microbiology and Biotechnology 16
- Health, Toxicology and Mutagenesis 102
Countries citing papers authored by Kazutoshi Sayama
This map shows the geographic impact of Kazutoshi Sayama'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 Kazutoshi Sayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazutoshi Sayama more than expected).
Fields of papers citing papers by Kazutoshi Sayama
This network shows the impact of papers produced by Kazutoshi Sayama. 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 Kazutoshi Sayama. The network helps show where Kazutoshi Sayama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazutoshi Sayama, 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 | 2022 | 1 | |
| 2 | 2021 | 20 | |
| 3 | 2020 | 12 | |
| 4 | 2014 | 13 | |
| 5 | 2013 | 145 | |
| 6 | 2010 | 7 | |
| 7 | 2008 | 15 | |
| 8 | 2006 | 176 | |
| 9 | 2004 | 11 | |
| 10 | 2004 | 75 | |
| 11 | Antitumor Activity of Extract of Edible Mushrooms (EEM), Flammulina velutipes and Hypsizigus marmoreus in Mice | 2003 | 0 |
| 12 | 2002 | 2 | |
| 13 | 2002 | 14 | |
| 14 | 1999 | 1 | |
| 15 | 1996 | 6 | |
| 16 | 1995 | 5 | |
| 17 | 1995 | 3 | |
| 18 | 1995 | 20 | |
| 19 | Phylogenetic relationships among laboratory animals deduced from basement membrane type IV collagen antigens | 1991 | 0 |
| 20 | 1990 | 9 |
About Kazutoshi Sayama
Kazutoshi Sayama is a scholar working on Biological Psychiatry, Pathology and Forensic Medicine and Pharmacology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (3 papers), Immunotherapy and Immune Responses (3 papers), Adipose Tissue and Metabolism (3 papers), NF-κB Signaling Pathways (3 papers), Virus-based gene therapy research (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Biochemistry (157 citations), Biological Psychiatry (52 citations) and Pathology and Forensic Medicine (316 citations). Kazutoshi Sayama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Itaro Oguni, Guodong Zheng, Tsutomu Ōkubo, Lekh Raj Juneja, Kayoko Shimoi, Hitomi Takemura, Bao Ting Zhu, Airo Tsubura, Joong‐Youn Shim and K. Takahama. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Chemical Communications.
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.