Michiie Sakamoto
- Hepatology top 0.05%
- Hepatocellular Carcinoma Treatment and Prognosis 117
- Cancer Research top 0.2%
- Oncology top 0.2%
- Pancreatic and Hepatic Oncology Research 57
- Epidemiology top 0.2%
- Liver Disease Diagnosis and Treatment 69
- Hepatitis B Virus Studies 27
- Neuroendocrine Tumor Research Advances 23
- Surgery top 0.5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 57
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- Wnt/β-catenin signaling in development and cancer 31
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- AI in cancer detection 24
- Co-authors
- Setsuo HirohashiMasatoshi KudoTadatoshi TakayamaYae KanaiMasatoshi MakuuchiNorihiro KokudoNamiki IzumiOsamu Nakashima
- Cited by
- HepatologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Michiie Sakamoto
400 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Hepatology 8.0k
- Cancer Research 3.3k
- Oncology 5.5k
- Epidemiology 5.6k
- Surgery 4.5k
Countries citing papers authored by Michiie Sakamoto
This map shows the geographic impact of Michiie Sakamoto'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 Michiie Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiie Sakamoto more than expected).
Fields of papers citing papers by Michiie Sakamoto
This network shows the impact of papers produced by Michiie Sakamoto. 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 Michiie Sakamoto. The network helps show where Michiie Sakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michiie Sakamoto, 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 | 2025 | 0 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 59 | |
| 11 | 2017 | 177 | |
| 12 | 2017 | 46 | |
| 13 | 2016 | 79 | |
| 14 | High speed algorithm to calculate feature quantities of nuclei graph structures in hepatic histological images | 2014 | 1 |
| 15 | 2014 | 2 | |
| 16 | 2012 | 25 | |
| 17 | 2012 | 40 | |
| 18 | 2012 | 13 | |
| 19 | Endoscopic ultrasonography of nonfunctioning pancreatic islet cell tumors with histologic correlation. | 2004 | 5 |
| 20 | [Recent progress in study of mechanism of invasion and metastasis of hepatocellular carcinoma]. | 2001 | 1 |
About Michiie Sakamoto
Michiie Sakamoto is a scholar working on Hepatology, Oncology and Cancer Research, having authored 406 papers that have together received 20.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (117 papers), Liver Disease Diagnosis and Treatment (69 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (57 papers), Pancreatic and Hepatic Oncology Research (57 papers), Wnt/β-catenin signaling in development and cancer (31 papers), Hepatitis B Virus Studies (27 papers), AI in cancer detection (24 papers) and Neuroendocrine Tumor Research Advances (23 papers). The work is most often cited by research in Hepatology (8.0k citations), Cancer Research (3.3k citations) and Oncology (5.5k citations). Michiie Sakamoto has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Setsuo Hirohashi, Masatoshi Kudo, Tadatoshi Takayama, Yae Kanai, Masatoshi Makuuchi, Norihiro Kokudo, Namiki Izumi, Osamu Nakashima, Kazuaki Shimada and Susumu Yamasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.