Ken Yagi

8.3k total citations
34 papers, 2.3k citations indexed

About

Ken Yagi is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ken Yagi has authored 34 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ken Yagi's work include TGF-β signaling in diseases (11 papers), Cancer-related gene regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Ken Yagi is often cited by papers focused on TGF-β signaling in diseases (11 papers), Cancer-related gene regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Ken Yagi collaborates with scholars based in Japan, Australia and Iran. Ken Yagi's co-authors include Kohei Miyazono, Mitsuyasu Kato, Yasushi Okazaki, Daisuke Goto, Hiromasa Aoki, Kazuhiko Takehara, Masao Furuhashi, Seiichi Takenoshita, Koichiro Kano and Daisuke Kondo and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Ken Yagi

30 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Yagi Japan 22 1.8k 497 360 206 201 34 2.3k
Shuling Ren China 28 1.3k 0.7× 585 1.2× 306 0.8× 219 1.1× 100 0.5× 46 2.5k
Clemente Cillo Italy 25 1.8k 1.0× 790 1.6× 277 0.8× 122 0.6× 322 1.6× 56 2.4k
Borja Sáez United States 22 1.7k 0.9× 432 0.9× 422 1.2× 423 2.1× 241 1.2× 41 2.8k
Fumiko Itoh Japan 26 2.2k 1.2× 279 0.6× 559 1.6× 138 0.7× 215 1.1× 56 3.0k
Giuseppina Caretti Italy 27 2.4k 1.3× 555 1.1× 265 0.7× 152 0.7× 286 1.4× 42 2.8k
Maarten van Dinther Netherlands 25 1.6k 0.9× 290 0.6× 523 1.5× 225 1.1× 175 0.9× 44 2.3k
Sylviane Dennler France 15 2.5k 1.4× 389 0.8× 669 1.9× 107 0.5× 233 1.2× 16 3.1k
Emanuela Moroni Italy 16 1.4k 0.8× 331 0.7× 252 0.7× 149 0.7× 134 0.7× 20 2.1k
Zhengjian Yan China 16 1.1k 0.6× 328 0.7× 240 0.7× 164 0.8× 189 0.9× 44 2.1k
Kevin Barton United States 21 1.8k 1.0× 384 0.8× 722 2.0× 261 1.3× 293 1.5× 50 3.2k

Countries citing papers authored by Ken Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Ken Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Yagi

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Yagi. A scholar is included among the top collaborators of Ken Yagi 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 Ken Yagi. Ken Yagi 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.
Oyama, Rieko, Tomohiko Ai, Chikako Ono, et al.. (2024). BCR, not TCR, repertoire diversity is associated with favorable COVID-19 prognosis. Frontiers in Immunology. 15. 1405013–1405013. 2 indexed citations
2.
Yagi, Ken, et al.. (2014). A Case of Well-differentiated Hepatocellular Carcinoma that Developed in a Normal Liver of a Young Woman. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 75(1). 190–196. 1 indexed citations
3.
Yagi, Ken, et al.. (2013). Asymptomatic cholecystocolonic fistula presented with a colon polyp. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(1). 173–178.
4.
Nakachi, Yutaka, Ken Yagi, Itoshi Nikaido, et al.. (2008). Identification of novel PPARγ target genes by integrated analysis of ChIP-on-chip and microarray expression data during adipocyte differentiation. Biochemical and Biophysical Research Communications. 372(2). 362–366. 51 indexed citations
5.
Mizuno, Yosuke, Ken Yagi, Yoshimi Tokuzawa, et al.. (2008). miR-125b inhibits osteoblastic differentiation by down-regulation of cell proliferation. Biochemical and Biophysical Research Communications. 368(2). 267–272. 251 indexed citations
6.
Ijichi, Nobuhiro, Kazuhiro Ikeda, Kuniko Horie‐Inoue, et al.. (2007). Estrogen-related receptor α modulates the expression of adipogenesis-related genes during adipocyte differentiation. Biochemical and Biophysical Research Communications. 358(3). 813–818. 63 indexed citations
7.
Suzuki, Hiroyuki, Ken Yagi, Miki Kondo, et al.. (2004). c-Ski inhibits the TGF-β signaling pathway through stabilization of inactive Smad complexes on Smad-binding elements. Oncogene. 23(29). 5068–5076. 96 indexed citations
8.
Yagi, Ken, Daisuke Kondo, Yasushi Okazaki, & Koichiro Kano. (2004). A novel preadipocyte cell line established from mouse adult mature adipocytes. Biochemical and Biophysical Research Communications. 321(4). 967–974. 142 indexed citations
9.
Bono, Hidemasa, Ken Yagi, Takeya Kasukawa, et al.. (2003). Systematic Expression Profiling of the Mouse Transcriptome Using RIKEN cDNA Microarrays. Genome Research. 13(6b). 1318–1323. 65 indexed citations
10.
Wells, Christine A., Timothy Ravasi, Răzvan Sultana, et al.. (2003). Continued Discovery of Transcriptional Units Expressed in Cells of the Mouse Mononuclear Phagocyte Lineage. Genome Research. 13(6b). 1360–1365. 36 indexed citations
11.
Gustincich, Stefano, Serge Batalov, Kirk W. Beisel, et al.. (2003). Analysis of the Mouse Transcriptome for Genes Involved in the Function of the Nervous System. Genome Research. 13(6b). 1395–1401. 27 indexed citations
12.
Yagi, Ken, K. Tsuji, Akira Nifuji, et al.. (2003). Bone morphogenetic protein‐2 enhances osterix gene expression in chondrocytes. Journal of Cellular Biochemistry. 88(6). 1077–1083. 57 indexed citations
13.
Yagi, Ken, Masao Furuhashi, Hiromasa Aoki, et al.. (2002). c-myc Is a Downstream Target of the Smad Pathway. Journal of Biological Chemistry. 277(1). 854–861. 204 indexed citations
14.
Yagi, Ken, Takashi Murata, Meguru Tezuka, et al.. (2001). Isolation and Identification of Antheridiogens in the Ferns, Lygodium microphyllum and Lygodium reticulatum. Bioscience Biotechnology and Biochemistry. 65(10). 2311–2314. 13 indexed citations
15.
Yagi, Ken, Tetsuya Chujo, Hideaki Nojiri, et al.. (2001). Evidence for the Presence of DNA-Binding Proteins Involved in Regulation of the Gene Expression of Indole-3-Pyruvic Acid Decarboxylase, a Key Enzyme in Indole-3-Acetic Acid Biosynthesis in Azospirillum lipoferum FS. Bioscience Biotechnology and Biochemistry. 65(5). 1265–1269. 10 indexed citations
16.
Ishida, Wataru, Ken Yagi, Masahiro Kawabata, et al.. (2000). Smad6 Is a Smad1/5-induced Smad Inhibitor. Journal of Biological Chemistry. 275(9). 6075–6079. 227 indexed citations
17.
Yagi, Ken, Tetsuya Chujo, Hideaki Nojiri, et al.. (2000). Isolation and Characterization of Low-indole-3-acetic Acid-producing Mutants fromBradyrhizobium elkanii. Bioscience Biotechnology and Biochemistry. 64(7). 1359–1364. 3 indexed citations
18.
Kawabata, Masahiro, Takeshi Imamura, Hirofumi Inoue, et al.. (1999). Intracellular Signaling of the TGF‐β Superfamily by Smad Proteins. Annals of the New York Academy of Sciences. 886(1). 73–82. 41 indexed citations
19.
20.
Yagi, Ken, et al.. (1984). On the Co-Operative Development of Limestone Mines in Mt. Buko by Three Companies. Journal of the Mining and Metallurgical Institute of Japan. 100(1160). 1011–1015.

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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