Hidetoshi Gon
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
-
- Pancreatic and Hepatic Oncology Research
Papers in
- Hepatology 35
- Hepatocellular Carcinoma Treatment and Prognosis 32
- Surgery 27
- Cholangiocarcinoma and Gallbladder Cancer Studies 16
- Co-authors
- Takumi Fukumoto (36 shared papers)Akira Kikuchi (5 shared papers)Masahiro Kido (43 shared papers)Hirochika Toyama (40 shared papers)Shohei Komatsu (38 shared papers)Katsumi Fumoto (2 shared papers)Shinji Matsumoto (4 shared papers)Kaori Kuramitsu (26 shared papers)
- Journals
- Anticancer Research (7 papers)Langenbeck s Archives of Surgery (5 papers)Surgical Endoscopy (3 papers)Journal of Gastrointestinal Surgery (3 papers)Annals of Surgical Oncology (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hidetoshi Gon
46 papers receiving 243 citations
Peers
Comparison fields: 5 of 53
- Hepatology 94
- Oncology 73
- Cell Biology 38
- Cancer Research 28
- Aging 3
Countries citing papers authored by Hidetoshi Gon
This map shows the geographic impact of Hidetoshi Gon'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 Hidetoshi Gon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Gon more than expected).
Fields of papers citing papers by Hidetoshi Gon
This network shows the impact of papers produced by Hidetoshi Gon. 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 Hidetoshi Gon. The network helps show where Hidetoshi Gon may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidetoshi Gon, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 35 | |
| 2 | 2013 | 24 | |
| 3 | 2012 | 22 | |
| 4 | 2018 | 13 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Hidetoshi Gon
Hidetoshi Gon is a scholar working on Hepatology, Surgery, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 244 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Pancreatic and Hepatic Oncology Research (17 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers), Liver Disease Diagnosis and Treatment (13 papers), Cancer, Lipids, and Metabolism (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Hepatology (94 citations), Oncology (73 citations), Cell Biology (38 citations), Cancer Research (28 citations) and Aging (3 citations). Hidetoshi Gon has collaborated with scholars based in Japan and United States. Frequent co-authors include Takumi Fukumoto, Akira Kikuchi, Masahiro Kido, Hirochika Toyama, Shohei Komatsu, Katsumi Fumoto, Shinji Matsumoto, Kaori Kuramitsu, Daisuke Tsugawa and Hiroaki Yanagimoto. Their work appears in journals such as Anticancer Research, Langenbeck s Archives of Surgery, Surgical Endoscopy, Journal of Gastrointestinal Surgery 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.