Ikuo Nakamura
- Hepatology top 1%
- Epidemiology top 5%
- Molecular Biology
- Oncology top 10%
- Surgery
- Co-authors
- Lewis R. RobertsJu Dong YangMichio ImawariAkihito TsubotaYoshiyuki SuzukiYasuji AraseNaoya MurashimaKazuaki Chayama
- Topics
- Liver Disease Diagnosis and Treatment (23 papers)Hepatitis C virus research (18 papers)Hepatocellular Carcinoma Treatment and Prognosis (18 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Ikuo Nakamura
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Hepatology 931
- Epidemiology 808
- Molecular Biology 346
- Oncology 320
- Surgery 226
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 of co-authors of Ikuo Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Nakamura. A scholar is included among the top collaborators of Ikuo Nakamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ikuo Nakamura. Ikuo Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 312 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 40 | |
| 13 | A Basic Study on a Very Low-Level DC Current Amplifier Using a Switched-Capacitor Circuit: Comparison Between Simulation and Experimental Results | 1 |
| 14 | A Basic Study on Position Detection of the Lip Using Image Processing | 1 |
| 15 | A Basic Study on Output Noise Characteristics of Resonant Buck Converter Using Pulse-Skip Control | 1 |
| 16 | 0 | |
| 17 | A Quantitative Evaluation of Neutron Penumbral Imaging with a Toroidal-Segment Aperture | 2 |
| 18 | Immunoserologically diagnosed toxocariasis with bilateral pleural effusion | 1 |
| 19 | 0 | |
| 20 | 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) and Hepatocellular Carcinoma Treatment and Prognosis (18 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 Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.