Keizo Dono
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 79
- Hepatocellular Carcinoma Treatment and Prognosis 51
- Liver Disease and Transplantation 23
- Co-authors
- Morito MondenKoji UmeshitaMasato SakonHiroaki NaganoShoji NakamoriShigeru MarubashiAtsushi MiyamotoYutaka Takeda
- Journals
- Transplantation (14 papers)International Journal of Oncology (9 papers)Surgery Today (8 papers)Oncology Reports (7 papers)Annals of Surgical Oncology (6 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keizo Dono
227 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 109
- Hepatology 2.0k
- Cancer Research 1.1k
- Oncology 1.9k
- Surgery 1.9k
- Pathology and Forensic Medicine 595
Countries citing papers authored by Keizo Dono
This map shows the geographic impact of Keizo Dono'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 Keizo Dono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizo Dono more than expected).
Fields of papers citing papers by Keizo Dono
This network shows the impact of papers produced by Keizo Dono. 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 Keizo Dono. The network helps show where Keizo Dono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keizo Dono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 9 | |
| 2 | 2018 | 2 | |
| 3 | 2018 | 5 | |
| 4 | 2018 | 4 | |
| 5 | 2017 | 1 | |
| 6 | 2016 | 3 | |
| 7 | 2013 | 4 | |
| 8 | 2013 | 2 | |
| 9 | 2009 | 21 | |
| 10 | 2008 | 34 | |
| 11 | 2006 | 22 | |
| 12 | Living related donors’ liver regeneration after hepatectomy | 2003 | 3 |
| 13 | 2003 | 3 | |
| 14 | 2002 | 0 | |
| 15 | 2002 | 0 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 1 | |
| 18 | 1999 | 1 | |
| 19 | 1999 | 67 | |
| 20 | 1995 | 16 |
About Keizo Dono
Keizo Dono is a scholar working on Hepatology, Transplantation, Oncology, Surgery and Cancer Research, having authored 246 papers that have together received 5.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (51 papers), Pancreatic and Hepatic Oncology Research (48 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (34 papers), Organ Transplantation Techniques and Outcomes (33 papers), Liver Disease and Transplantation (23 papers), Gallbladder and Bile Duct Disorders (20 papers), Liver Disease Diagnosis and Treatment (19 papers) and Pancreatic function and diabetes (19 papers). The work is most often cited by research in Hepatology (2.0k citations), Cancer Research (1.1k citations), Oncology (1.9k citations), Surgery (1.9k citations) and Pathology and Forensic Medicine (595 citations). Keizo Dono has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Morito Monden, Koji Umeshita, Masato Sakon, Hiroaki Nagano, Shoji Nakamori, Shigeru Marubashi, Atsushi Miyamoto, Yutaka Takeda, Motoi Kondo and Hiroshi Wada. Their work appears in journals such as Transplantation, International Journal of Oncology, Surgery Today, Oncology Reports and Annals of Surgical Oncology.
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.