MAYUMI SHINOSE
- Pharmacology top 0.5%
- Molecular Biology top 5%
- Plant Science top 5%
- Biotechnology top 1%
- Organic Chemistry top 5%
- Co-authors
- Satoshi ŌmuraMasahira HattoriHisashi KikuchiJun IshikawaHaruo IkedaYoshiyuki SakakiTadayoshi ShibaYōko Takahashi
- Topics
- Microbial Natural Products and Biosynthesis (11 papers)Genomics and Phylogenetic Studies (4 papers)Carbohydrate Chemistry and Synthesis (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature BiotechnologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
MAYUMI SHINOSE
18 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Pharmacology 1.4k
- Molecular Biology 1.3k
- Plant Science 378
- Biotechnology 373
- Organic Chemistry 335
Countries citing papers authored by MAYUMI SHINOSE
This map shows the geographic impact of MAYUMI SHINOSE'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 MAYUMI SHINOSE with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MAYUMI SHINOSE more than expected).
Fields of papers citing papers by MAYUMI SHINOSE
This network shows the impact of papers produced by MAYUMI SHINOSE. 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 MAYUMI SHINOSE. The network helps show where MAYUMI SHINOSE may publish in the future.
Co-authorship network of co-authors of MAYUMI SHINOSE
This figure shows the co-authorship network connecting the top 25 collaborators of MAYUMI SHINOSE. A scholar is included among the top collaborators of MAYUMI SHINOSE 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 MAYUMI SHINOSE. MAYUMI SHINOSE is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Complete genome sequence and comparative analysis of the industrial microorganism Streptomyces avermitilisbreakdown → | 960 |
| 2 | 37 | |
| 3 | Genome sequence of an industrial microorganism Streptomyces avermitilis : Deducing the ability of producing secondary metabolitesbreakdown → | 658 |
| 4 | 50 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | Malolactomycins C and D, new 40-membered macrolides active against Botrytis | 6 |
| 12 | 61 | |
| 13 | 31 | |
| 14 | 13 | |
| 15 | 16 | |
| 16 | 29 | |
| 17 | 24 | |
| 18 | 40 |
About MAYUMI SHINOSE
MAYUMI SHINOSE is a scholar working on Pharmacology, Toxicology and Biotechnology, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (11 papers), Genomics and Phylogenetic Studies (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Pharmacology (1.4k citations), Biotechnology (373 citations) and Microbiology (30 citations). MAYUMI SHINOSE has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Satoshi Ōmura, Masahira Hattori, Hisashi Kikuchi, Jun Ishikawa, Haruo Ikeda, Yoshiyuki Sakaki, Tadayoshi Shiba, Yōko Takahashi, Hiroshi Horikawa and Tadayoshi Shiba. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology 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.