M. Sasaki
- Genetics top 10%
- Molecular Biology
- Plant Science
- Cancer Research
- Pediatrics, Perinatology and Child Health
- Co-authors
- Nobuo TakagiOsamu SugawaraN. WakeM. YoshidaShinichi AbeKazuyuki SugimuraMitsuo OshimuraJun‐ichi Azumi
- Topics
- Recycling and Waste Management Techniques (3 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers)Animal Genetics and Reproduction (3 papers)
In The Last Decade
M. Sasaki
17 papers receiving 370 citations
Peers
Comparison fields: 5 of 77
- Genetics 233
- Molecular Biology 222
- Plant Science 59
- Cancer Research 48
- Pediatrics, Perinatology and Child Health 41
Countries citing papers authored by M. Sasaki
This map shows the geographic impact of M. Sasaki'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 M. Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sasaki more than expected).
Fields of papers citing papers by M. Sasaki
This network shows the impact of papers produced by M. Sasaki. 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 M. Sasaki. The network helps show where M. Sasaki may publish in the future.
Co-authorship network of co-authors of M. Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sasaki. A scholar is included among the top collaborators of M. Sasaki 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 M. Sasaki. M. Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Osteoclast-like giant cell tumor of the pancreas associated with cystadenocarcinoma. | 8 |
| 7 | 2 | |
| 8 | 41 | |
| 9 | [Analysis of 223 cases of intracranial aneurysms--with special reference to re-rupture of the intracranial aneurysms]. | 3 |
| 10 | 157 | |
| 11 | Cytogenetic effects of 60 chemicals on cultured human and chinese hamster cells. | 55 |
| 12 | 65 | |
| 13 | 22 | |
| 14 | Chemical, immunochemical and electronmicroscopical studies on the polysaccharide produced by a certain mucous strain of E. coli. | 1 |
| 15 | 5 | |
| 16 | 5 | |
| 17 | Studies on Mycobacteriophages. | 3 |
About M. Sasaki
M. Sasaki is a scholar working on Industrial and Manufacturing Engineering, Rehabilitation and Water Science and Technology, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Recycling and Waste Management Techniques (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Genetics (233 citations), Chemical Health and Safety (4 citations) and Molecular Biology (222 citations). M. Sasaki has collaborated with scholars based in Japan and Russia. Frequent co-authors include Nobuo Takagi, Osamu Sugawara, N. Wake, M. Yoshida, Shinichi Abe, Kazuyuki Sugimura, Mitsuo Oshimura, Jun‐ichi Azumi, K. Tsuji and Takahiko Shimizu. Their work appears in journals such as Carbon, Chromosoma and Colloid & Polymer Science.
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.