S Miyawaki
- Immunology top 10%
- Hematology top 10%
- Physiology
- Molecular Biology
- Genetics
- Co-authors
- Takeshi SakiyamaTeruo KitagawaHideyuki YoshiokaSazuku NisitaniTakeshi TsubataTakashi UsuiMasao MurakamiReiko Shinkura
- Topics
- Lysosomal Storage Disorders Research (7 papers)Glycogen Storage Diseases and Myoclonus (3 papers)Metabolism and Genetic Disorders (3 papers)
- Cited by
- ImmunologyHematologyPhysiology
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- Japan
In The Last Decade
S Miyawaki
21 papers receiving 474 citations
Peers
Comparison fields: 5 of 66
- Immunology 256
- Hematology 99
- Physiology 97
- Molecular Biology 87
- Genetics 62
Countries citing papers authored by S Miyawaki
This map shows the geographic impact of S Miyawaki'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 S Miyawaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Miyawaki more than expected).
Fields of papers citing papers by S Miyawaki
This network shows the impact of papers produced by S Miyawaki. 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 S Miyawaki. The network helps show where S Miyawaki may publish in the future.
Co-authorship network of co-authors of S Miyawaki
This figure shows the co-authorship network connecting the top 25 collaborators of S Miyawaki. A scholar is included among the top collaborators of S Miyawaki 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 S Miyawaki. S Miyawaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 147 | |
| 6 | 58 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | [Impaired cholesterol esterification in Niemann-Pick disease model mouse]. | 1 |
| 10 | 123 | |
| 11 | Marked acceleration of the autoimmune disease in MRL-lpr/lpr mice by the influence of the Yaa gene from BXSB mice. | 6 |
| 12 | [A case report of angioimmunoblastic lymphadenopathy accompanying pancytopenia and bone marrow fibrosis]. | 2 |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | [Antilymphocyte antibody in Sjogren's disease]. | 1 |
| 17 | 33 | |
| 18 | 24 | |
| 19 | [Epidemiological studies of systemic lupus erythematosus in Japan]. | 1 |
| 20 | [Detection of immune globulin and autoantibodies in autoimmune diseases, with special reference to SLE and Hashimoto's diseases]. | 1 |
About S Miyawaki
S Miyawaki is a scholar working on Clinical Biochemistry, Physiology and Physiology, having authored 22 papers that have together received 489 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (7 papers), Glycogen Storage Diseases and Myoclonus (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Immunology (256 citations), Hematology (99 citations) and Physiology (23 citations). S Miyawaki has collaborated with scholars based in Japan. Frequent co-authors include Takeshi Sakiyama, Teruo Kitagawa, Hideyuki Yoshioka, Sazuku Nisitani, Takeshi Tsubata, Takashi Usui, Masao Murakami, Reiko Shinkura, Masaya Okamoto and Tasuku Honjo. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.