Masaki Shioda
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Reproductive Medicine top 10%
- Cell Biology
- Genetics
- Co-authors
- Kimiko Murakami‐MurofushiHiromu MurofushiHiroshi NaganoYoshitake ManoToru TakeoNaomi NakagataTetsumi IrieYousuke Seyama
- Topics
- DNA and Nucleic Acid Chemistry (7 papers)Slime Mold and Myxomycetes Research (7 papers)DNA Repair Mechanisms (5 papers)
In The Last Decade
Masaki Shioda
30 papers receiving 461 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 322
- Public Health, Environmental and Occupational Health 75
- Reproductive Medicine 68
- Cell Biology 58
- Genetics 54
Countries citing papers authored by Masaki Shioda
This map shows the geographic impact of Masaki Shioda'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 Masaki Shioda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Shioda more than expected).
Fields of papers citing papers by Masaki Shioda
This network shows the impact of papers produced by Masaki Shioda. 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 Masaki Shioda. The network helps show where Masaki Shioda may publish in the future.
Co-authorship network of co-authors of Masaki Shioda
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Shioda. A scholar is included among the top collaborators of Masaki Shioda 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 Masaki Shioda. Masaki Shioda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 8 | |
| 3 | 86 | |
| 4 | 34 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Extracellular Polysaccharide from a True Slime Mold, Physarum Polycephalum. Polymerization and Auto-Degradation Associated with Cell Growth, and Its Inhibitory Activity on Eukaryotic DNA Polymerase α | 1 |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | Fine structure of replication forks associated with replicating DNA molecules from sea urchin embryos | 1 |
| 18 | In vitro DNA synthesis by the sea urchin DNA polymerase α-primase complex on single-stranded DNA of bacteriophage fd | 1 |
| 19 | Two forms of DNA polymerase α in sea urchin eggs and embryos(Communication) | 5 |
| 20 | Ribonucleotides-dependent DNA Synthesis with Nuclear Membrane-DNA Polymerase α Fraction of Sea Urchin Embryos(Communication) | 1 |
About Masaki Shioda
Masaki Shioda is a scholar working on Oceanography, Aquatic Science and Molecular Biology, having authored 31 papers that have together received 478 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (7 papers), Slime Mold and Myxomycetes Research (7 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Reproductive Medicine (68 citations), Molecular Biology (322 citations) and Physiology (20 citations). Masaki Shioda has collaborated with scholars based in Japan and Russia. Frequent co-authors include Kimiko Murakami‐Murofushi, Hiromu Murofushi, Hiroshi Nagano, Yoshitake Mano, Toru Takeo, Naomi Nakagata, Tetsumi Irie, Yousuke Seyama, Hirofumi Nishizono and Koji Okuhara. Their work appears in journals such as Biochemistry, Current Biology 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.