Mami Yoshimura
Impact in
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- Parasites and Host Interactions
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- Computational Drug Discovery Methods
Papers in
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- RNA Research and Splicing 3
- Microbial Metabolic Engineering and Bioproduction 3
- Fungal and yeast genetics research 2
- CRISPR and Genetic Engineering 2
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- Microbial Natural Products and Biosynthesis 3
- Co-authors
- Ken Matsumoto (2 shared papers)Akiko Masuda (1 shared paper)Shogo Matsumoto (1 shared paper)Naoshi Dohmae (1 shared paper)Hiroshi Nakayama (1 shared paper)Yoko Yashiroda (10 shared papers)Masafumi Tsujimoto (1 shared paper)Charles Boone (8 shared papers)
- Journals
- Nature Methods (1 paper)Scientific Reports (1 paper)Analytical Chemistry (1 paper)Nature Communications (1 paper)RNA Biology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Mami Yoshimura
17 papers receiving 184 citations
Peers
Comparison fields: 5 of 66
- Parasitology 17
- Computational Theory and Mathematics 25
- Molecular Biology 107
- Infectious Diseases 20
- Biophysics 4
Countries citing papers authored by Mami Yoshimura
This map shows the geographic impact of Mami Yoshimura'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 Mami Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mami Yoshimura more than expected).
Fields of papers citing papers by Mami Yoshimura
This network shows the impact of papers produced by Mami Yoshimura. 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 Mami Yoshimura. The network helps show where Mami Yoshimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mami Yoshimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 40 | |
| 2 | 2022 | 24 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 19 | |
| 5 | 2021 | 14 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 1994 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 |
About Mami Yoshimura
Mami Yoshimura is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Plant Science and Infectious Diseases, having authored 17 papers that have together received 188 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (3 papers), RNA Research and Splicing (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Asymmetric Synthesis and Catalysis (2 papers), Computational Drug Discovery Methods (2 papers), Fungal and yeast genetics research (2 papers), Fungal Infections and Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Parasitology (17 citations), Computational Theory and Mathematics (25 citations), Molecular Biology (107 citations), Infectious Diseases (20 citations) and Biophysics (4 citations). Mami Yoshimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ken Matsumoto, Akiko Masuda, Shogo Matsumoto, Naoshi Dohmae, Hiroshi Nakayama, Yoko Yashiroda, Masafumi Tsujimoto, Charles Boone, Minoru Yoshida and Sheena C. Li. Their work appears in journals such as Nature Methods, Scientific Reports, Analytical Chemistry, Nature Communications and RNA Biology.
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.