Kazutoshi Sayama

1.4k total citations
40 papers, 1.1k citations indexed

About

Kazutoshi Sayama is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Kazutoshi Sayama has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Pathology and Forensic Medicine and 7 papers in Immunology. Recurrent topics in Kazutoshi Sayama's work include Tea Polyphenols and Effects (9 papers), RNA Interference and Gene Delivery (4 papers) and Cell death mechanisms and regulation (3 papers). Kazutoshi Sayama is often cited by papers focused on Tea Polyphenols and Effects (9 papers), RNA Interference and Gene Delivery (4 papers) and Cell death mechanisms and regulation (3 papers). Kazutoshi Sayama collaborates with scholars based in Japan, United States and United Kingdom. Kazutoshi Sayama's co-authors include Itaro Oguni, Guodong Zheng, Lekh Raj Juneja, Tsutomu Ōkubo, Kayoko Shimoi, Bao Ting Zhu, Hitomi Takemura, Airo Tsubura, Joong‐Youn Shim and K. Takahama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Kazutoshi Sayama

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazutoshi Sayama Japan 15 317 316 162 157 155 40 1.1k
Tânia R. Dias Portugal 22 341 1.1× 217 0.7× 130 0.8× 125 0.8× 70 0.5× 53 1.4k
Corinna Brandsch Germany 26 508 1.6× 313 1.0× 347 2.1× 152 1.0× 132 0.9× 81 1.8k
Andreas Kampkötter Germany 21 829 2.6× 158 0.5× 210 1.3× 244 1.6× 272 1.8× 32 2.0k
Karsten Beekmann Netherlands 15 372 1.2× 259 0.8× 99 0.6× 112 0.7× 112 0.7× 36 948
Victoria Pocock United Kingdom 12 533 1.7× 132 0.4× 334 2.1× 97 0.6× 175 1.1× 14 1.2k
Jeong June Choi South Korea 17 354 1.1× 171 0.5× 183 1.1× 135 0.9× 93 0.6× 34 984
Daniela Caldeira Costa Brazil 19 307 1.0× 78 0.2× 129 0.8× 205 1.3× 131 0.8× 73 1.2k
Necla Koçak‐Toker Türkiye 22 255 0.8× 184 0.6× 410 2.5× 84 0.5× 194 1.3× 40 1.4k
Jimmy D. Browning United States 18 235 0.7× 149 0.5× 79 0.5× 168 1.1× 248 1.6× 35 1.1k
Chul Yung Choi South Korea 24 647 2.0× 88 0.3× 99 0.6× 155 1.0× 218 1.4× 44 1.4k

Countries citing papers authored by Kazutoshi Sayama

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kazutoshi Sayama

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Sayama. A scholar is included among the top collaborators of Kazutoshi Sayama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazutoshi Sayama. Kazutoshi Sayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Furushima, Daisuke, et al.. (2022). Detection of CCL25 and the correlation between CCL25, CCL28, IL-7, and TSLP in human breast milk. Journal of Reproductive Immunology. 155. 103783–103783. 1 indexed citations
2.
Yasuda, Michiko, Nobuhiko Miura, Kazutoshi Sayama, et al.. (2021). Metastasis of Breast Cancer Promoted by Circadian Rhythm Disruption due to Light/Dark Shift and its Prevention by Dietary Quercetin in Mice. SHILAP Revista de lepidopterología. 19(1). 2–2. 20 indexed citations
3.
Sayama, Kazutoshi, et al.. (2020). Age-related chemokine alterations affect IgA secretion and gut immunity in female mice. Biogerontology. 21(5). 609–618. 12 indexed citations
4.
Emoto, Yuko, Katsuhiko Yoshizawa, Yuichi Kinoshita, et al.. (2014). Green tea extract suppresses N-methyl-N-nitrosourea-induced photoreceptor apoptosis in Sprague-Dawley rats. Graefe s Archive for Clinical and Experimental Ophthalmology. 252(9). 1377–1384. 13 indexed citations
5.
Takahama, K., et al.. (2013). Regulation of Telomere Length by G-Quadruplex Telomere DNA- and TERRA-Binding Protein TLS/FUS. Chemistry & Biology. 20(3). 341–350. 145 indexed citations
6.
Okamoto, Yoshinori, Xiaoping Liu, Naomi Suzuki, et al.. (2010). Equine estrogen-induced mammary tumors in rats. Toxicology Letters. 193(3). 224–228. 7 indexed citations
7.
Unno, Keiko, Hiroyuki Yamamoto, Fumiyo Takabayashi, et al.. (2008). Protection of brain and pancreas from high-fat diet: Effects of catechin and caffeine. Physiology & Behavior. 96(2). 262–269. 15 indexed citations
8.
Takemura, Hitomi, Joong‐Youn Shim, Kazutoshi Sayama, et al.. (2006). Characterization of the estrogenic activities of zearalenone and zeranol in vivo and in vitro. The Journal of Steroid Biochemistry and Molecular Biology. 103(2). 170–177. 176 indexed citations
9.
Takemura, Hitomi, Jie Ma, Kazutoshi Sayama, et al.. (2004). In vitro and in vivo estrogenic activity of chlorinated derivatives of bisphenol A. Toxicology. 207(2). 215–221. 75 indexed citations
10.
Barnhart, Bryan C., Eric M. Pietras, Alicia Algeciras-Schimnich, et al.. (2004). CD95 apoptosis resistance in certain cells can be overcome by noncanonical activation of caspase-8. Cell Death and Differentiation. 12(1). 25–37. 11 indexed citations
11.
Sayama, Kazutoshi, et al.. (2003). Antitumor Activity of Extract of Edible Mushrooms (EEM), Flammulina velutipes and Hypsizigus marmoreus in Mice. 65(3). 73–77.
12.
Matsuzawa, Akio, Motomu Shimizu, Yasutaka Takeda, et al.. (2002). Significant role of Fas ligand‐binding but defective Fas receptor (CD95) in lymph node hyperplasia composed of abnormal double‐negative T cells. Immunology. 106(4). 470–475. 2 indexed citations
13.
Sayama, Kazutoshi, et al.. (2002). Ustalic acid as a toxin and related compounds from the mushroom Tricholoma ustale. Chemical Communications. 1384–1385. 14 indexed citations
14.
Yamamura, Yûichi, Kazutoshi Sayama, Yasutaka Takeda, et al.. (1999). Differences in metallothionein expression in transplantable mouse mammary tumor lines. Cancer Letters. 138(1-2). 167–174. 1 indexed citations
15.
Sayama, Kazutoshi, et al.. (1996). Effects of Green Tea and Tea Catechins on the Development of Mammary Gland. Bioscience Biotechnology and Biochemistry. 60(1). 169–170. 6 indexed citations
17.
Takeda, Yasutaka, et al.. (1995). Progression toward metastatic phenotype with loss of growth‐inhibiting tumor‐cell/cell interactions in vivo. International Journal of Cancer. 62(5). 579–584. 3 indexed citations
18.
Matsuzawa, Akio, Hideki Nakano, Takayuki Yoshimoto, & Kazutoshi Sayama. (1995). Biology of mouse mammary tumor virus (MMTV). Cancer Letters. 90(1). 3–11. 20 indexed citations
19.
Sayama, Kazutoshi, et al.. (1991). Phylogenetic relationships among laboratory animals deduced from basement membrane type IV collagen antigens. ZOOLOGICAL SCIENCE. 8(2). 359–369.
20.
Matsuzawa, Akio, Kazutoshi Sayama, Airo Tsubura, & Akira Murakami. (1990). A Congenic Line of the DDD Mouse Strain, DDD/1‐Mtv‐2/Mtv‐2: Establishment and Mammary Tumorigenesis. Japanese Journal of Cancer Research. 81(6-7). 639–644. 9 indexed citations

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.

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