Hideki Iwamoto
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
- Hepatology 67
- Hepatocellular Carcinoma Treatment and Prognosis 58
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- Renal cell carcinoma treatment 23
- Prostate Cancer Diagnosis and Treatment 20
- Co-authors
- Takuji Torimura (68 shared papers)Hironori Koga (67 shared papers)Yihai Cao (11 shared papers)Atsushi Takenaka (63 shared papers)Yunlong Yang (8 shared papers)Shigeo Shimose (50 shared papers)Takashi Niizeki (50 shared papers)Sharon Lim (8 shared papers)
In The Last Decade
Hideki Iwamoto
160 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 115
- Hepatology 956
- Cancer Research 815
- Oncology 706
- Pathology and Forensic Medicine 374
- Pulmonary and Respiratory Medicine 656
Countries citing papers authored by Hideki Iwamoto
This map shows the geographic impact of Hideki Iwamoto'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 Hideki Iwamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Iwamoto more than expected).
Fields of papers citing papers by Hideki Iwamoto
This network shows the impact of papers produced by Hideki Iwamoto. 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 Hideki Iwamoto. The network helps show where Hideki Iwamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Iwamoto, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 236 | |
| 2 | 2014 | 145 | |
| 3 | 2015 | 128 | |
| 4 | 2013 | 112 | |
| 5 | 2013 | 97 | |
| 6 | 2016 | 86 | |
| 7 | 2016 | 83 | |
| 8 | 2021 | 80 | |
| 9 | 2018 | 65 | |
| 10 | 2018 | 62 | |
| 11 | 2020 | 59 | |
| 12 | 2020 | 54 | |
| 13 | 2019 | 51 | |
| 14 | 2016 | 51 | |
| 15 | 2012 | 49 | |
| 16 | 2020 | 46 | |
| 17 | 2015 | 46 | |
| 18 | 2014 | 46 | |
| 19 | High invasiveness associated with augmentation of motility in a fos-transferred highly metastatic rat 3Y1 cell line. | 1989 | 45 |
| 20 | 2020 | 44 |
About Hideki Iwamoto
Hideki Iwamoto is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Oncology, having authored 172 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (58 papers), Renal cell carcinoma treatment (23 papers), Cancer Mechanisms and Therapy (20 papers), Bladder and Urothelial Cancer Treatments (20 papers), Prostate Cancer Diagnosis and Treatment (20 papers), Liver Disease Diagnosis and Treatment (16 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers) and Angiogenesis and VEGF in Cancer (13 papers). The work is most often cited by research in Hepatology (956 citations), Cancer Research (815 citations), Oncology (706 citations), Pathology and Forensic Medicine (374 citations) and Pulmonary and Respiratory Medicine (656 citations). Hideki Iwamoto has collaborated with scholars based in Japan, Sweden and China. Frequent co-authors include Takuji Torimura, Hironori Koga, Yihai Cao, Atsushi Takenaka, Yunlong Yang, Shigeo Shimose, Takashi Niizeki, Sharon Lim, Mitsuhiko Abe and Tomotake Shirono. Their work appears in journals such as Cancers, International Journal of Clinical Oncology, International Journal of Urology, Oncology and Hepatology 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.