Masayuki Miyata
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies 6
- Systemic Lupus Erythematosus Research 3
- Hepatology top 10%
- Liver Diseases and Immunity 5
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research 3
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- Pulmonary Hypertension Research and Treatments 5
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
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- Liver Disease Diagnosis and Treatment 6
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- Gastrointestinal disorders and treatments 3
- Co-authors
- Reiji KasukawaHiromasa OhiraMasayuki ItôTomoe NishimakiKoichi AmanoNobuyuki MiyasakaYoshiya TanakaShintaro Hirata
- Cited by
- RheumatologyHepatologyHematology
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Masayuki Miyata
40 papers receiving 529 citations
Peers
Comparison fields: 5 of 68
- Rheumatology 172
- Hepatology 84
- Hematology 74
- Pulmonary and Respiratory Medicine 168
- Genetics 51
Countries citing papers authored by Masayuki Miyata
This map shows the geographic impact of Masayuki Miyata'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 Masayuki Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Miyata more than expected).
Fields of papers citing papers by Masayuki Miyata
This network shows the impact of papers produced by Masayuki Miyata. 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 Masayuki Miyata. The network helps show where Masayuki Miyata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Miyata, 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 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2016 | 80 | |
| 5 | 2008 | 9 | |
| 6 | 2004 | 7 | |
| 7 | 2002 | 25 | |
| 8 | 2001 | 39 | |
| 9 | 2000 | 40 | |
| 10 | 2000 | 13 | |
| 11 | 1999 | 4 | |
| 12 | 1998 | 25 | |
| 13 | 1998 | 4 | |
| 14 | Substances reactive with mannose-binding protein (MBP) in sera of patients with rheumatoid arthritis. | 1997 | 16 |
| 15 | 1996 | 33 | |
| 16 | 1996 | 40 | |
| 17 | [CpG motif in DNA from immune complexes of SLE patients augments expression of intercellular adhesion molecule-1 on endothelial cells]. | 1996 | 4 |
| 18 | 1995 | 9 | |
| 19 | 1993 | 27 | |
| 20 | 1987 | 1 |
About Masayuki Miyata
Masayuki Miyata is a scholar working on Hepatology, Rheumatology and Gastroenterology, having authored 43 papers that have together received 547 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Liver Diseases and Immunity (5 papers), Pulmonary Hypertension Research and Treatments (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Gastrointestinal disorders and treatments (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Rheumatology (172 citations), Hepatology (84 citations) and Hematology (74 citations). Masayuki Miyata has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Reiji Kasukawa, Hiromasa Ohira, Masayuki Itô, Tomoe Nishimaki, Koichi Amano, Nobuyuki Miyasaka, Yoshiya Tanaka, Shintaro Hirata, Yuko Kaneko and Yohko Murakawa. Their work appears in journals such as Gastroenterology, CHEST Journal and Journal of Hepatology.
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.