Jun Kadono
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Gastroenterology top 10%
Papers in ⓘ
-
- Liver Disease and Transplantation 6
- Hepatocellular Carcinoma Treatment and Prognosis 3
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- Gastrointestinal Tumor Research and Treatment 3
- Co-authors
- Noboru Nakamura (7 shared papers)Seigo Nishida (5 shared papers)Nobuo Hamada (10 shared papers)Ryuzo Sakata (6 shared papers)Teruo Komokata (9 shared papers)Juan R. Madariaga (2 shared papers)Andreas G. Tzakis (2 shared papers)Yutaka Imoto (11 shared papers)
- Journals
- Journal of Hepato-Biliary-Pancreatic Surgery (3 papers)Journal of Gastroenterology (2 papers)Surgery Today (2 papers)Cancer Biomarkers (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Kadono
21 papers receiving 277 citations
Peers
Comparison fields: 5 of 49
- Hepatology 133
- Gastroenterology 35
- Surgery 217
- Transplantation 11
- Pulmonary and Respiratory Medicine 84
Countries citing papers authored by Jun Kadono
This map shows the geographic impact of Jun Kadono'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 Jun Kadono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kadono more than expected).
Fields of papers citing papers by Jun Kadono
This network shows the impact of papers produced by Jun Kadono. 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 Jun Kadono. The network helps show where Jun Kadono may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kadono, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 52 | |
| 2 | 2005 | 34 | |
| 3 | 1998 | 23 | |
| 4 | 2000 | 22 | |
| 5 | 2006 | 21 | |
| 6 | 2005 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2004 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2018 | 9 | |
| 13 | 2003 | 7 | |
| 14 | 2006 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2002 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2013 | 4 | |
| 20 | 2001 | 3 |
About Jun Kadono
Jun Kadono is a scholar working on Hepatology, Gastroenterology, Surgery, Oncology and Epidemiology, having authored 28 papers that have together received 294 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (6 papers), Gastrointestinal disorders and treatments (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Pancreatitis Pathology and Treatment (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). The work is most often cited by research in Hepatology (133 citations), Gastroenterology (35 citations), Surgery (217 citations), Transplantation (11 citations) and Pulmonary and Respiratory Medicine (84 citations). Jun Kadono has collaborated with scholars based in Japan and United States. Frequent co-authors include Noboru Nakamura, Seigo Nishida, Nobuo Hamada, Ryuzo Sakata, Teruo Komokata, Juan R. Madariaga, Andreas G. Tzakis, Yutaka Imoto, Akira Taira and Toshiaki Shimizu. Their work appears in journals such as Journal of Hepato-Biliary-Pancreatic Surgery, Journal of Gastroenterology, Surgery Today, Cancer Biomarkers and Journal of Surgical Research.
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.