Ken Yagi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- TGF-β signaling in diseases
- Bone Metabolism and Diseases
- Cancer-related gene regulation
- Circular RNAs in diseases
- Kruppel-like factors research
Papers in
-
- TGF-β signaling in diseases 11
- Bone Metabolism and Diseases 4
- Cancer-related gene regulation 4
- Peroxisome Proliferator-Activated Receptors 3
- Oncology 6
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Kohei Miyazono (10 shared papers)Mitsuyasu Kato (8 shared papers)Yasushi Okazaki (12 shared papers)Daisuke Goto (4 shared papers)Kazuhiko Takehara (2 shared papers)Hiromasa Aoki (2 shared papers)Masao Furuhashi (3 shared papers)Seiichi Takenoshita (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Genome Research (4 papers)Journal of Biological Chemistry (4 papers)Bioscience Biotechnology and Biochemistry (3 papers)FEBS Letters (3 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Ken Yagi
30 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 473
- Molecular Biology 1.8k
- Genetics 188
- Oncology 347
- Rheumatology 139
Countries citing papers authored by Ken Yagi
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
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-authors
The 25 scholars most cited alongside Ken Yagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 264 | |
| 2 | 2000 | 243 | |
| 3 | 1999 | 217 | |
| 4 | 2002 | 213 | |
| 5 | 2009 | 203 | |
| 6 | 2001 | 194 | |
| 7 | 2004 | 150 | |
| 8 | 2001 | 136 | |
| 9 | 2004 | 99 | |
| 10 | 2003 | 67 | |
| 11 | 2003 | 66 | |
| 12 | 2007 | 65 | |
| 13 | 2003 | 61 | |
| 14 | 1998 | 57 | |
| 15 | 2008 | 51 | |
| 16 | 1998 | 48 | |
| 17 | 2003 | 48 | |
| 18 | Lymphoid enhancer factor 1 makes cells resistant to transforming growth factor beta-induced repression of c-myc. | 2003 | 46 |
| 19 | 2007 | 44 | |
| 20 | 1999 | 42 |
About Ken Yagi
Ken Yagi is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (11 papers), Bone Metabolism and Diseases (4 papers), Cancer-related gene regulation (4 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Cancer Research (473 citations), Molecular Biology (1.8k citations), Genetics (188 citations), Oncology (347 citations) and Rheumatology (139 citations). Ken Yagi has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kohei Miyazono, Mitsuyasu Kato, Yasushi Okazaki, Daisuke Goto, Kazuhiko Takehara, Hiromasa Aoki, Masao Furuhashi, Seiichi Takenoshita, Koichiro Kano and Daisuke Kondo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genome Research, Journal of Biological Chemistry, Bioscience Biotechnology and Biochemistry and FEBS Letters.
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.