Yukihide Watanabe

819 total citations
35 papers, 615 citations indexed

About

Yukihide Watanabe is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Yukihide Watanabe has authored 35 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Yukihide Watanabe's work include TGF-β signaling in diseases (12 papers), Genetic factors in colorectal cancer (7 papers) and Prostate Cancer Treatment and Research (6 papers). Yukihide Watanabe is often cited by papers focused on TGF-β signaling in diseases (12 papers), Genetic factors in colorectal cancer (7 papers) and Prostate Cancer Treatment and Research (6 papers). Yukihide Watanabe collaborates with scholars based in Japan, Indonesia and Egypt. Yukihide Watanabe's co-authors include Mitsuyasu Kato, Susumu Itoh, Fumiko Itoh, Thanh Thao Nguyen, Naoko Nakano, Peter ten Dijke, Masako Inamitsu, Carl‐Henrik Heldin, Aristidis Moustakas and Masayuki Noguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yukihide Watanabe

32 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukihide Watanabe Japan 13 457 148 129 124 65 35 615
Dongyin Yu United States 7 498 1.1× 194 1.3× 82 0.6× 151 1.2× 33 0.5× 9 685
Arezoo Astanehe Canada 14 622 1.4× 291 2.0× 79 0.6× 144 1.2× 85 1.3× 18 913
Christine To Canada 9 391 0.9× 323 2.2× 173 1.3× 196 1.6× 43 0.7× 11 708
Jessica C. Price United States 7 368 0.8× 119 0.8× 76 0.6× 145 1.2× 84 1.3× 8 551
Cindy A. Pise-Masison United States 5 497 1.1× 158 1.1× 118 0.9× 320 2.6× 96 1.5× 6 820
Wai Kei Kwok Hong Kong 6 504 1.1× 279 1.9× 124 1.0× 230 1.9× 42 0.6× 6 702
Rebekka Unland Germany 8 351 0.8× 116 0.8× 221 1.7× 121 1.0× 59 0.9× 9 510
Erin L. Maresh United States 13 341 0.7× 277 1.9× 241 1.9× 118 1.0× 45 0.7× 15 647
Kouichiro Goto Japan 11 789 1.7× 307 2.1× 59 0.5× 108 0.9× 69 1.1× 13 930
Ingvild L. Tangen Norway 17 257 0.6× 180 1.2× 102 0.8× 145 1.2× 41 0.6× 26 684

Countries citing papers authored by Yukihide Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Yukihide Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukihide Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihide Watanabe. A scholar is included among the top collaborators of Yukihide Watanabe 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 Yukihide Watanabe. Yukihide Watanabe 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.
Suzuki, Hiroyuki, Yukihide Watanabe, Mohammed Abdelaziz, et al.. (2025). THG-1/TSC22D4 Promotes IL-1 Signaling through Stabilization of TRAF6 in Squamous Cell Carcinoma. Molecular Cancer Research. 23(5). 463–476.
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Tzavlaki, Kalliopi, Anita Morén, Yukihide Watanabe, et al.. (2023). The liver kinase B1 supports mammary epithelial morphogenesis by inhibiting critical factors that mediate epithelial‐mesenchymal transition. Journal of Cellular Physiology. 238(4). 790–812. 1 indexed citations
4.
Suzuki, Hiroyuki, Ling Zheng, Yukari Okita, et al.. (2023). Promotion of squamous cell carcinoma tumorigenesis by oncogene‐mediated THG‐1/TSC22D4 phosphorylation. Cancer Science. 114(10). 3972–3983. 4 indexed citations
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Chen, Chen, Yukari Okita, Yukihide Watanabe, et al.. (2018). Glycoprotein nmb Is Exposed on the Surface of Dormant Breast Cancer Cells and Induces Stem Cell–like Properties. Cancer Research. 78(22). 6424–6435. 42 indexed citations
8.
Caja, Laia, Kalliopi Tzavlaki, E‐Jean Tan, et al.. (2018). Snail regulates BMP and TGFβ pathways to control the differentiation status of glioma-initiating cells. Oncogene. 37(19). 2515–2531. 37 indexed citations
9.
Watanabe, Yukihide, et al.. (2016). Regulation of Bone Morphogenetic Protein Signaling by ADP-ribosylation. Journal of Biological Chemistry. 291(24). 12706–12723. 5 indexed citations
10.
Raja, Erna, Kalliopi Tzavlaki, Karolina Edlund, et al.. (2015). The protein kinase LKB1 negatively regulates bone morphogenetic protein receptor signaling. Oncotarget. 7(2). 1120–1143. 16 indexed citations
11.
Dahl, Markus, Peter Lönn, Panagiotis Papoutsoglou, et al.. (2014). Fine-Tuning of Smad Protein Function by Poly(ADP-Ribose) Polymerases and Poly(ADP-Ribose) Glycohydrolase during Transforming Growth Factor β Signaling. PLoS ONE. 9(8). e103651–e103651. 22 indexed citations
12.
Nakano, Naoko, Nobuo Sakata, Fumiko Itoh, et al.. (2014). C18 ORF1, a Novel Negative Regulator of Transforming Growth Factor-β Signaling. Journal of Biological Chemistry. 289(18). 12680–12692. 40 indexed citations
13.
Nguyen, Thanh Thao, et al.. (2014). Cooperative induction of transmembrane prostate androgen induced protein TMEPAI/PMEPA1 by transforming growth factor-β and epidermal growth factor signaling. Biochemical and Biophysical Research Communications. 456(2). 580–585. 22 indexed citations
14.
Lönn, Peter, Michael Vanlandewijck, Erna Raja, et al.. (2012). Transcriptional Induction of Salt-inducible Kinase 1 by Transforming Growth Factor β Leads to Negative Regulation of Type I Receptor Signaling in Cooperation with the Smurf2 Ubiquitin Ligase. Journal of Biological Chemistry. 287(16). 12867–12878. 29 indexed citations
15.
Watanabe, Yukihide, Susumu Itoh, Toshiyasu Goto, et al.. (2010). TMEPAI, a Transmembrane TGF-β-Inducible Protein, Sequesters Smad Proteins from Active Participation in TGF-β Signaling. Molecular Cell. 37(1). 123–134. 124 indexed citations
16.
Nakano, Naoko, et al.. (2010). Requirement of TCF7L2 for TGF-β-dependent Transcriptional Activation of the TMEPAI Gene. Journal of Biological Chemistry. 285(49). 38023–38033. 44 indexed citations
17.
Shimazaki, Jun, et al.. (2007). Malignant Lymphoma of the Rectum in a Patient with Systemic Lupus Erythematosus. Nihon Daicho Komonbyo Gakkai Zasshi. 60(2). 95–99.
18.
Noda, Daisuke, Susumu Itoh, Yukihide Watanabe, et al.. (2006). ELAC2, a putative prostate cancer susceptibility gene product, potentiates TGF-β/Smad-induced growth arrest of prostate cells. Oncogene. 25(41). 5591–5600. 40 indexed citations
19.
Okamoto, Shinichiro, Yukihide Watanabe, Yoshinobu Takakura, & Mitsuru Hashida. (1998). Cationic Liposome-Mediated Efficient Induction of Type I Interferons by a Low Dose of Poly I: Poly C in Mouse Cell Lines. The Journal of Biochemistry. 124(4). 697–701. 6 indexed citations
20.
Toki, Akira, et al.. (1997). Carcinoma of the Colon in Childhood; Report of 2 Cases Expressing p53 without K-ras Mutation. European Journal of Pediatric Surgery. 7(5). 315–317. 7 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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