Ryuta Asada
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Lymphoma Diagnosis and Treatment 4
-
- Inflammatory Myopathies and Dermatomyositis 3
- Co-authors
- Yoshihiro Fujimura (1 shared paper)Yoshiaki Sonoda (1 shared paper)S Yokota (1 shared paper)S. Harada (1 shared paper)Susumu Ikehara (1 shared paper)Takashi Tsuji (1 shared paper)Takashi Kimura (1 shared paper)Jean Wang (1 shared paper)
- Journals
- Orphanet Journal of Rare Diseases (2 papers)Blood (2 papers)Scientific Reports (1 paper)International Orthopaedics (1 paper)Journal of Neuromuscular Diseases (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ryuta Asada
19 papers receiving 500 citations
Peers
Comparison fields: 5 of 66
- Molecular Medicine 69
- Genetics 122
- Hematology 128
- Applied Microbiology and Biotechnology 17
- Endocrinology 40
Countries citing papers authored by Ryuta Asada
This map shows the geographic impact of Ryuta Asada'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 Ryuta Asada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuta Asada more than expected).
Fields of papers citing papers by Ryuta Asada
This network shows the impact of papers produced by Ryuta Asada. 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 Ryuta Asada. The network helps show where Ryuta Asada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryuta Asada, 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 | 2003 | 166 | |
| 2 | 2017 | 77 | |
| 3 | 2019 | 67 | |
| 4 | 2020 | 64 | |
| 5 | 2015 | 43 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 14 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 1985 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Ryuta Asada
Ryuta Asada is a scholar working on Pathology and Forensic Medicine, Epidemiology, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Mesenchymal stem cell research (2 papers), Liver physiology and pathology (2 papers), Celiac Disease Research and Management (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Biomedical Ethics and Regulation (2 papers). The work is most often cited by research in Molecular Medicine (69 citations), Genetics (122 citations), Hematology (128 citations), Applied Microbiology and Biotechnology (17 citations) and Endocrinology (40 citations). Ryuta Asada has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshihiro Fujimura, Yoshiaki Sonoda, S Yokota, S. Harada, Susumu Ikehara, Takashi Tsuji, Takashi Kimura, Jean Wang, Michio Ozeki and Toshiyuki Fukao. Their work appears in journals such as Orphanet Journal of Rare Diseases, Blood, Scientific Reports, International Orthopaedics and Journal of Neuromuscular Diseases.
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.