Miwa Sakai
- Molecular Biology
- Biochemistry top 1%
- Pathology and Forensic Medicine top 5%
- Food Science top 5%
- Plant Science top 10%
- Co-authors
- Masayuki SuzukiFumio NanjoRyota SetoKeiichi GotoYukihiko HaraNaoharu WatanabeHiroshi HirataToshiyuki Ohnishi
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (9 papers)Hematopoietic Stem Cell Transplantation (8 papers)Plant Gene Expression Analysis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodScientific Reports
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Miwa Sakai
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 475
- Biochemistry 390
- Pathology and Forensic Medicine 345
- Food Science 208
- Plant Science 208
Countries citing papers authored by Miwa Sakai
This map shows the geographic impact of Miwa Sakai'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 Miwa Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miwa Sakai more than expected).
Fields of papers citing papers by Miwa Sakai
This network shows the impact of papers produced by Miwa Sakai. 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 Miwa Sakai. The network helps show where Miwa Sakai may publish in the future.
Co-authorship network of co-authors of Miwa Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Miwa Sakai. A scholar is included among the top collaborators of Miwa Sakai 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 Miwa Sakai. Miwa Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 39 | |
| 6 | 15 | |
| 7 | 44 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 73 | |
| 11 | 45 | |
| 12 | 10 | |
| 13 | 93 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | Busulfan and melphalan as a conditioning regimen for second peripheral blood stem cell transplantation in relapsed acute lymphoblastic leukaemia after initial transplantation with total-body irradiation | 1 |
| 18 | 22 | |
| 19 | 30 | |
| 20 | Scavenging effects of tea catechins and their derivatives on 1,1-diphenyl-2-picrylhydrazyl radicalbreakdown → | 694 |
About Miwa Sakai
Miwa Sakai is a scholar working on Hepatology, Hematology and Transplantation, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Plant Gene Expression Analysis (6 papers). The work is most often cited by research in Biochemistry (390 citations), Pathology and Forensic Medicine (345 citations) and Hepatology (135 citations). Miwa Sakai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayuki Suzuki, Fumio Nanjo, Ryota Seto, Keiichi Goto, Yukihiko Hara, Naoharu Watanabe, Hiroshi Hirata, Toshiyuki Ohnishi, Masakazu Hara and Tatsuo Asai. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.
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.