Hidetoshi Gon
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Microtubule and mitosis dynamics
Papers in
- Hepatology 32
- Hepatocellular Carcinoma Treatment and Prognosis 32
- Liver physiology and pathology 2
- Surgery 9
- Cholangiocarcinoma and Gallbladder Cancer Studies 5
- Co-authors
- Takumi Fukumoto (37 shared papers)Akira Kikuchi (5 shared papers)Masahiro Kido (47 shared papers)Hirochika Toyama (42 shared papers)Shohei Komatsu (42 shared papers)Katsumi Fumoto (2 shared papers)Kaori Kuramitsu (26 shared papers)Shinji Matsumoto (4 shared papers)
- Journals
- Anticancer Research (7 papers)Langenbeck s Archives of Surgery (5 papers)Surgical Endoscopy (4 papers)Annals of Surgical Oncology (4 papers)Surgery Today (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hidetoshi Gon
48 papers receiving 264 citations
Peers
Comparison fields: 5 of 50
- Hepatology 89
- Cell Biology 34
- Aging 3
- Oncology 38
- Physiology 6
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 36 | |
| 2 | 2013 | 24 | |
| 3 | 2012 | 23 | |
| 4 | 2018 | 14 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About Hidetoshi Gon
Hidetoshi Gon is a scholar working on Hepatology, Surgery, Oncology, Molecular Biology and Physiology, having authored 65 papers that have together received 266 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Nutrition and Health in Aging (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Liver physiology and pathology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (89 citations), Cell Biology (34 citations), Aging (3 citations), Oncology (38 citations) and Physiology (6 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, Kaori Kuramitsu, Shinji Matsumoto, Daisuke Tsugawa and Hiroaki Yanagimoto. Their work appears in journals such as Anticancer Research, Langenbeck s Archives of Surgery, Surgical Endoscopy, Annals of Surgical Oncology and Surgery Today.
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.