Fumio Myokai
- Molecular Biology
- Genetics top 10%
- Immunology
- Cell Biology top 10%
- Cancer Research
- Co-authors
- Shogo TakashibaSumihare NojiShigehiko TaniguchiHideyo OhuchiRoger V. LeboSalomon AmarEiki KoyamaTsutomu Nohno
- Topics
- Developmental Biology and Gene Regulation (6 papers)Congenital heart defects research (4 papers)Immune Response and Inflammation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Fumio Myokai
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 672
- Genetics 209
- Immunology 178
- Cell Biology 124
- Cancer Research 107
Countries citing papers authored by Fumio Myokai
This map shows the geographic impact of Fumio Myokai'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 Fumio Myokai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Myokai more than expected).
Fields of papers citing papers by Fumio Myokai
This network shows the impact of papers produced by Fumio Myokai. 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 Fumio Myokai. The network helps show where Fumio Myokai may publish in the future.
Co-authorship network of co-authors of Fumio Myokai
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Myokai. A scholar is included among the top collaborators of Fumio Myokai 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 Fumio Myokai. Fumio Myokai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 23 | |
| 3 | 27 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | Aspects of interleukin-8 gene expression by gingival and dermal fibroblasts stimulated with interleukin-1beta or tumour necrosis factor alpha. | 3 |
| 8 | 27 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | 75 | |
| 12 | 16 | |
| 13 | 38 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 73 | |
| 17 | 257 | |
| 18 | Expression patterns of the activin receptor IIA and IIB genes during chick limb development. | 22 |
| 19 | 38 | |
| 20 | 13 |
About Fumio Myokai
Fumio Myokai is a scholar working on Periodontics, Immunology and Allergy and Emergency Medical Services, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Periodontics (61 citations), Developmental Neuroscience (42 citations) and Molecular Biology (672 citations). Fumio Myokai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shogo Takashiba, Sumihare Noji, Shigehiko Taniguchi, Hideyo Ohuchi, Roger V. Lebo, Salomon Amar, Eiki Koyama, Tsutomu Nohno, Eiki Koyama and Taiichi Saito. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics 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.