Shingo Yogosawa

1.3k total citations
29 papers, 969 citations indexed

About

Shingo Yogosawa is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shingo Yogosawa has authored 29 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Shingo Yogosawa's work include Cancer-related Molecular Pathways (10 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (4 papers). Shingo Yogosawa is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (4 papers). Shingo Yogosawa collaborates with scholars based in Japan, United States and France. Shingo Yogosawa's co-authors include Toshiyuki Sakai, Yoshitaka Nakamura, Yasutaka Makino, Shusuke Yasuda, Tomohiro Tamura, Yoshihiro Sowa, Eigo Otsuji, Hoyoku Nishino, Nobumasa Takagaki and Mitsuharu Masuda and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Clinical Cancer Research.

In The Last Decade

Shingo Yogosawa

29 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Yogosawa Japan 19 629 180 154 103 99 29 969
Yann Schneider France 13 577 0.9× 108 0.6× 162 1.1× 106 1.0× 49 0.5× 16 1.1k
Lokesh Dalasanur Nagaprashantha United States 15 581 0.9× 164 0.9× 107 0.7× 122 1.2× 42 0.4× 23 961
E A Hudson United Kingdom 14 720 1.1× 173 1.0× 245 1.6× 174 1.7× 100 1.0× 18 1.4k
Manjit K. Saini United States 13 818 1.3× 161 0.9× 101 0.7× 72 0.7× 86 0.9× 16 1.1k
Hye‐Sook Seo South Korea 18 532 0.8× 177 1.0× 100 0.6× 97 0.9× 156 1.6× 27 936
Haiming Ding United States 15 514 0.8× 162 0.9× 92 0.6× 95 0.9× 88 0.9× 30 898
Alessio Papi Italy 19 637 1.0× 191 1.1× 175 1.1× 111 1.1× 73 0.7× 35 1.1k
Danhua Xiao United States 9 462 0.7× 120 0.7× 63 0.4× 176 1.7× 64 0.6× 9 806
Eung-Ryoung Lee South Korea 15 507 0.8× 87 0.5× 127 0.8× 83 0.8× 48 0.5× 17 893
T C Hsieh United States 13 479 0.8× 109 0.6× 95 0.6× 77 0.7× 57 0.6× 16 848

Countries citing papers authored by Shingo Yogosawa

Since Specialization
Citations

This map shows the geographic impact of Shingo Yogosawa'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 Shingo Yogosawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Yogosawa more than expected).

Fields of papers citing papers by Shingo Yogosawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shingo Yogosawa. 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 Shingo Yogosawa. The network helps show where Shingo Yogosawa may publish in the future.

Co-authorship network of co-authors of Shingo Yogosawa

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Yogosawa. A scholar is included among the top collaborators of Shingo Yogosawa 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 Shingo Yogosawa. Shingo Yogosawa 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.
Yanagisawa, Hiroyuki, et al.. (2018). Potential role of mitochondrial damage and S9 mixture including metabolic enzymes in ZnO nanoparticles-induced oxidative stress and genotoxicity in Chinese hamster lung (CHL/IU) cells. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 834. 25–34. 4 indexed citations
2.
3.
Sun, Qi, Shingo Yogosawa, Yosuke Iizumi, Toshiyuki Sakai, & Yoshihiro Sowa. (2014). The alkaloid emetine sensitizes ovarian carcinoma cells to cisplatin through downregulation of bcl-xL. International Journal of Oncology. 46(1). 389–394. 28 indexed citations
4.
Yoshioka, Takashi, Shingo Yogosawa, Takeshi Yamada, Jo Kitawaki, & Toshiyuki Sakai. (2013). Combination of a novel HDAC inhibitor OBP-801/YM753 and a PI3K inhibitor LY294002 synergistically induces apoptosis in human endometrial carcinoma cells due to increase of Bim with accumulation of ROS. Gynecologic Oncology. 129(2). 425–432. 35 indexed citations
5.
6.
Yang, Shihe, Zhikun Ma, Dharmalingam Subramaniam, et al.. (2012). p53 Inactivation Upregulates p73 Expression through E2F-1 Mediated Transcription. PLoS ONE. 7(8). e43564–e43564. 24 indexed citations
7.
Koyama, Makoto, Ahmed E. Goda, Takaaki Matsui, et al.. (2010). Histone Deacetylase Inhibitors and 15-Deoxy-Δ12,14-Prostaglandin J2 Synergistically Induce Apoptosis. Clinical Cancer Research. 16(8). 2320–2332. 23 indexed citations
8.
Yogosawa, Shingo, et al.. (2010). Polymorphisms in Promoter Sequences of the p15 INK4B and PTEN Genes of Normal Japanese Individuals. Biochemical Genetics. 48(11-12). 970–986. 1 indexed citations
10.
Yasuda, Shusuke, et al.. (2009). Cucurbitacin B induces G2 arrest and apoptosis via a reactive oxygen species‐dependent mechanism in human colon adenocarcinoma SW480 cells. Molecular Nutrition & Food Research. 54(4). 559–565. 79 indexed citations
11.
Hitomi, Toshiaki, Y. Matsuzaki, Shusuke Yasuda, et al.. (2007). Oct‐1 is involved in the transcriptional repression of the p15INK4b gene. FEBS Letters. 581(6). 1087–1092. 20 indexed citations
12.
Koyama, Makoto, et al.. (2007). ZD1839 induces p15INK4b and causes G1 arrest by inhibiting the mitogen-activated protein kinase/extracellular signal–regulated kinase pathway. Molecular Cancer Therapeutics. 6(5). 1579–1587. 26 indexed citations
13.
Nishino, Hoyoku, Harukuni Tokuda, Yoshiko Satomi, et al.. (2004). Cancer prevention by antioxidants. BioFactors. 22(1-4). 57–61. 54 indexed citations
14.
Nishino, Hoyoku, Michiaki Murakoshi, Tsunehiro Ii, et al.. (2002). Carotenoids in Cancer Chemoprevention. Cancer and Metastasis Reviews. 21(3-4). 257–264. 155 indexed citations
15.
Aoki, Tsutomu, et al.. (1999). TIP120B: A Novel TIP120-Family Protein That Is Expressed Specifically in Muscle Tissues. Biochemical and Biophysical Research Communications. 261(3). 911–916. 28 indexed citations
16.
Makino, Yasutaka, Tatsushi Yoshida, Shingo Yogosawa, et al.. (1999). Multiple mammalian proteasomal ATPases, but not proteasome itself, are associated with TATA‐binding protein and a novel transcriptional activator, TIP120. Genes to Cells. 4(9). 529–539. 31 indexed citations
17.
Yogosawa, Shingo, et al.. (1999). Induced Expression, Localization, and Chromosome Mapping of a Gene for the TBP-Interacting Protein 120A. Biochemical and Biophysical Research Communications. 266(1). 123–128. 9 indexed citations
18.
Yogosawa, Shingo, Yasutaka Makino, Tatsushi Yoshida, et al.. (1996). Molecular Cloning of a Novel 120-kDa TBP-Interacting Protein. Biochemical and Biophysical Research Communications. 229(2). 612–617. 32 indexed citations
19.
Makino, Yasutaka, Shingo Yogosawa, Masato Kanemaki, et al.. (1996). Structures of the Rat Proteasomal ATPases: Determination of Highly Conserved Structural Motifs and Rules for Their Spacing. Biochemical and Biophysical Research Communications. 220(3). 1049–1054. 23 indexed citations
20.
Makino, Y., Takeshi Yoshida, Shingo Yogosawa, & Tomonori Tamura. (1996). [Detection of TBP-interacting proteins (TIPs) and demonstration of a novel complex containing TBP and ATPases].. PubMed. 41(8 Suppl). 1170–7. 1 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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