Ikuo Nakamura
- Hepatology top 1%
- Hepatitis C virus research 18
- Hepatocellular Carcinoma Treatment and Prognosis 18
- Liver Disease and Transplantation 12
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 23
- Hepatitis B Virus Studies 12
- Cancer Research top 10%
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 12
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- Cholangiocarcinoma and Gallbladder Cancer Studies 16
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- Fluid Dynamics and Turbulent Flows 13
Ikuo Nakamura
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Hepatology 931
- Epidemiology 808
- Cancer Research 188
- Oncology 320
- Immunology 194
Countries citing papers authored by Ikuo Nakamura
This map shows the geographic impact of Ikuo Nakamura'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 Ikuo Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuo Nakamura more than expected).
Fields of papers citing papers by Ikuo Nakamura
This network shows the impact of papers produced by Ikuo Nakamura. 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 Ikuo Nakamura. The network helps show where Ikuo Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ikuo Nakamura, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2018 | 10 | |
| 6 | 2014 | 1 | |
| 7 | 2010 | 2 | |
| 8 | 2010 | 312 | |
| 9 | 2009 | 3 | |
| 10 | 2009 | 1 | |
| 11 | 2007 | 2 | |
| 12 | 2007 | 40 | |
| 13 | A Basic Study on a Very Low-Level DC Current Amplifier Using a Switched-Capacitor Circuit: Comparison Between Simulation and Experimental Results | 2005 | 1 |
| 14 | A Basic Study on Position Detection of the Lip Using Image Processing | 2005 | 1 |
| 15 | A Basic Study on Output Noise Characteristics of Resonant Buck Converter Using Pulse-Skip Control | 2004 | 1 |
| 16 | 2004 | 0 | |
| 17 | A Quantitative Evaluation of Neutron Penumbral Imaging with a Toroidal-Segment Aperture | 1997 | 2 |
| 18 | Immunoserologically diagnosed toxocariasis with bilateral pleural effusion | 1995 | 1 |
| 19 | 1989 | 0 | |
| 20 | 1987 | 2 |
About Ikuo Nakamura
Ikuo Nakamura is a scholar working on Hepatology, Epidemiology and Surgery, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Hepatitis C virus research (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers), Fluid Dynamics and Turbulent Flows (13 papers), Pancreatic and Hepatic Oncology Research (12 papers), Liver Disease and Transplantation (12 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Hepatology (931 citations), Epidemiology (808 citations) and Cancer Research (188 citations). Ikuo Nakamura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Lewis R. Roberts, Ju Dong Yang, Michio Imawari, Akihito Tsubota, Yoshiyuki Suzuki, Yasuji Arase, Naoya Murashima, Kazuaki Chayama, Kenji Ikeda and Mizuho Kobayashi. Their work appears in journals such as Hepatology Research, Surgery Today, Journal of Gastroenterology, Hepatology and Journal of General Virology.
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.