Ryota Maeda
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
- Nephrology top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- Fibroblast Growth Factor Research 2
- Protein Tyrosine Phosphatases 2
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Takuji Tanoue (2 shared papers)Eisuke Nishida (2 shared papers)Makoto Adachi (1 shared paper)Takuya Yamamoto (1 shared paper)I. James Sarfeh (3 shared papers)Andrzej S. Tarnawski (3 shared papers)G. Robert Mason (2 shared papers)Akihiro Imura (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Biochemistry (1 paper)Brain Research (1 paper)Antibodies (1 paper)The EMBO Journal (1 paper)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Ryota Maeda
19 papers receiving 795 citations
Peers
Comparison fields: 5 of 82
- Hepatology 67
- Nephrology 55
- Molecular Biology 544
- Cell Biology 78
- Immunology 97
Countries citing papers authored by Ryota Maeda
This map shows the geographic impact of Ryota Maeda'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 Ryota Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Maeda more than expected).
Fields of papers citing papers by Ryota Maeda
This network shows the impact of papers produced by Ryota Maeda. 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 Ryota Maeda. The network helps show where Ryota Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryota Maeda, 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 | 2001 | 239 | |
| 2 | 2001 | 138 | |
| 3 | 2010 | 125 | |
| 4 | 2020 | 60 | |
| 5 | 2017 | 59 | |
| 6 | The gastric mucosa in portal hypertension: effects of topical bile acid. | 1984 | 50 |
| 7 | 2009 | 43 | |
| 8 | 1986 | 25 | |
| 9 | 2019 | 17 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 1984 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2022 | 1 |
About Ryota Maeda
Ryota Maeda is a scholar working on Molecular Biology, Epidemiology, Genetics, Hepatology and Nephrology, having authored 19 papers that have together received 806 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Genetic Syndromes and Imprinting (3 papers), Liver Disease and Transplantation (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Fibroblast Growth Factor Research (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Hepatology (67 citations), Nephrology (55 citations), Molecular Biology (544 citations), Cell Biology (78 citations) and Immunology (97 citations). Ryota Maeda has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Takuji Tanoue, Eisuke Nishida, Makoto Adachi, Takuya Yamamoto, I. James Sarfeh, Andrzej S. Tarnawski, G. Robert Mason, Akihiro Imura, Katsumori Segawa and Yo-ichi Nabeshima. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Biochemistry, Brain Research, Antibodies and The EMBO Journal.
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.