Yu Katayose
Impact in
Papers in
- Co-authors
- Michiaki Unno (117 shared papers)Shinichi Egawa (61 shared papers)Fuyuhiko Motoi (69 shared papers)Toshiki Rikiyama (45 shared papers)Takeshi Naitoh (26 shared papers)Hiroki Hayashi (23 shared papers)Tatsuo Hata (7 shared papers)Seiki Matsuno (24 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Surgery Today (7 papers)Biochemical and Biophysical Research Communications (4 papers)Cancer Science (4 papers)Journal of Hepato-Biliary-Pancreatic Surgery (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yu Katayose
138 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 113
- Oncology 1.1k
- Surgery 931
- Radiology, Nuclear Medicine and Imaging 373
- Cancer Research 234
- Hepatology 111
Countries citing papers authored by Yu Katayose
This map shows the geographic impact of Yu Katayose'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 Yu Katayose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Katayose more than expected).
Fields of papers citing papers by Yu Katayose
This network shows the impact of papers produced by Yu Katayose. 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 Yu Katayose. The network helps show where Yu Katayose may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Katayose, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 204 | |
| 2 | 1995 | 128 | |
| 3 | 2013 | 118 | |
| 4 | 2012 | 94 | |
| 5 | 2007 | 79 | |
| 6 | 2013 | 79 | |
| 7 | 2009 | 75 | |
| 8 | Clock gene mouse period2 overexpression inhibits growth of human pancreatic cancer cells and has synergistic effect with cisplatin. | 2009 | 67 |
| 9 | 2006 | 59 | |
| 10 | 2012 | 58 | |
| 11 | 2009 | 56 | |
| 12 | 2023 | 55 | |
| 13 | 2007 | 54 | |
| 14 | 2022 | 50 | |
| 15 | 2007 | 49 | |
| 16 | 1998 | 48 | |
| 17 | 2014 | 47 | |
| 18 | 2010 | 46 | |
| 19 | 2010 | 45 | |
| 20 | 2012 | 44 |
About Yu Katayose
Yu Katayose is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 149 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Pancreatitis Pathology and Treatment (13 papers), Gallbladder and Bile Duct Disorders (12 papers), Glycosylation and Glycoproteins Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Oncology (1.1k citations), Surgery (931 citations), Radiology, Nuclear Medicine and Imaging (373 citations), Cancer Research (234 citations) and Hepatology (111 citations). Yu Katayose has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Michiaki Unno, Shinichi Egawa, Fuyuhiko Motoi, Toshiki Rikiyama, Takeshi Naitoh, Hiroki Hayashi, Tatsuo Hata, Seiki Matsuno, Toshio Kudo and Naoaki Sakata. Their work appears in journals such as Journal of Clinical Oncology, Surgery Today, Biochemical and Biophysical Research Communications, Cancer Science and Journal of Hepato-Biliary-Pancreatic Surgery.
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.