Ryosuke Nakashima
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 15
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 5
- RNA and protein synthesis mechanisms 4
- Endocrinology top 2%
- Electrochemistry top 2%
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- Photoreceptor and optogenetics research 5
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- Drug Transport and Resistance Mechanisms 10
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- Bacterial Genetics and Biotechnology 8
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- Pneumocystis jirovecii pneumonia detection and treatment 4
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- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Eiki YamashitaAkihito YamaguchiTomitake TsukiharaKyoko Shinzawa‐ItohShinya YoshikawaHiroshi YamaguchiTakashi TomizakiRieko Yaono
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ryosuke Nakashima
41 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Medicine 1.5k
- Molecular Biology 4.1k
- Endocrinology 259
- Electrochemistry 289
- Cellular and Molecular Neuroscience 849
Countries citing papers authored by Ryosuke Nakashima
This map shows the geographic impact of Ryosuke Nakashima'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 Ryosuke Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Nakashima more than expected).
Fields of papers citing papers by Ryosuke Nakashima
This network shows the impact of papers produced by Ryosuke Nakashima. 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 Ryosuke Nakashima. The network helps show where Ryosuke Nakashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryosuke Nakashima, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 121 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 85 | |
| 13 | 2017 | 10 | |
| 14 | 2015 | 29 | |
| 15 | 2013 | 82 | |
| 16 | 2013 | 230 | |
| 17 | 2011 | 283 | |
| 18 | 2002 | 1 | |
| 19 | Crystal structure of bacterial multidrug efflux transporter AcrBbreakdown → | 2002 | 769 |
| 20 | 2000 | 38 |
About Ryosuke Nakashima
Ryosuke Nakashima is a scholar working on Molecular Medicine, Biophysics, Oncology, Genetics and Behavioral Neuroscience, having authored 45 papers that have together received 6.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Drug Transport and Resistance Mechanisms (10 papers), Bacterial Genetics and Biotechnology (8 papers), Photoreceptor and optogenetics research (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Molecular Biology (4.1k citations), Endocrinology (259 citations), Electrochemistry (289 citations) and Cellular and Molecular Neuroscience (849 citations). Ryosuke Nakashima has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Eiki Yamashita, Akihito Yamaguchi, Tomitake Tsukihara, Kyoko Shinzawa‐Itoh, Shinya Yoshikawa, Hiroshi Yamaguchi, Takashi Tomizaki, Rieko Yaono, Hiroshi Aoyama and Satoshi Murakami. Their work appears in journals such as Nature, Scientific Reports, Hypertension Research, Science and Frontiers in Microbiology.
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.