Masahiko Tameda
- Molecular Biology top 10%
- Epidemiology top 10%
- Physiology top 10%
- Hepatology top 5%
- Cancer Research top 10%
- Co-authors
- Yoshiyuki TakeiKazushi SugimotoKatsuya ShirakiMasaaki ItoChika KasaiJunichiro TanakaHidekazu InoueYumi Oya
- Topics
- Liver Disease Diagnosis and Treatment (6 papers)Pancreatic and Hepatic Oncology Research (5 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Masahiko Tameda
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 752
- Epidemiology 305
- Physiology 263
- Hepatology 211
- Cancer Research 176
Countries citing papers authored by Masahiko Tameda
This map shows the geographic impact of Masahiko Tameda'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 Masahiko Tameda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Tameda more than expected).
Fields of papers citing papers by Masahiko Tameda
This network shows the impact of papers produced by Masahiko Tameda. 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 Masahiko Tameda. The network helps show where Masahiko Tameda may publish in the future.
Co-authorship network of co-authors of Masahiko Tameda
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Tameda. A scholar is included among the top collaborators of Masahiko Tameda 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 Masahiko Tameda. Masahiko Tameda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 85 | |
| 5 | 199 | |
| 6 | 21 | |
| 7 | 16 | |
| 8 | Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencingbreakdown → | 448 |
| 9 | 14 | |
| 10 | 35 | |
| 11 | 102 | |
| 12 | 25 | |
| 13 | 35 | |
| 14 | 12 | |
| 15 | 24 | |
| 16 | 24 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | Up-regulation of glypican-3 in human hepatocellular carcinoma. | 41 |
| 20 | 19 |
About Masahiko Tameda
Masahiko Tameda is a scholar working on Hepatology, Geriatrics and Gerontology and Oncology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Hepatology (211 citations), Cancer Research (176 citations) and Molecular Biology (752 citations). Masahiko Tameda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoshiyuki Takei, Kazushi Sugimoto, Katsuya Shiraki, Masaaki Ito, Chika Kasai, Junichiro Tanaka, Hidekazu Inoue, Yumi Oya, Kojiro Takase and Isao Moritani. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.
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.