Masaki Goto
- Nephrology top 2%
- Spectroscopy top 10%
- Molecular Sensors and Ion Detection 4
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- Lipid Membrane Structure and Behavior 50
- Protein Structure and Dynamics 21
- Protein Interaction Studies and Fluorescence Analysis 11
- Sphingolipid Metabolism and Signaling 10
- Organic Chemistry top 10%
- Surfactants and Colloidal Systems 11
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- Photoreceptor and optogenetics research 4
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- Spectroscopy and Quantum Chemical Studies 4
- Co-authors
- Hitoshi MatsukiNobutake TamaiShoji KaneshinaMitsuhiro EndohMaki AndoTakeshi KawamuraYasuhiko TominoKenji Wakai
- Journals
- Environmental Science & Technology (1 paper)Langmuir (5 papers)Environmental Health Perspectives (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Masaki Goto
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 145
- Nephrology 223
- Spectroscopy 141
- Molecular Biology 495
- Organic Chemistry 177
- Hematology 67
Countries citing papers authored by Masaki Goto
This map shows the geographic impact of Masaki Goto'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 Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Goto more than expected).
Fields of papers citing papers by Masaki Goto
This network shows the impact of papers produced by Masaki Goto. 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 Goto. The network helps show where Masaki Goto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaki Goto, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2017 | 7 | |
| 10 | 2015 | 16 | |
| 11 | 2013 | 2 | |
| 12 | Risk stratification of coronary revascularization patients by using clinical and angiographic data. | 2011 | 5 |
| 13 | 2011 | 6 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 12 | |
| 16 | 2009 | 17 | |
| 17 | 2009 | 13 | |
| 18 | 2009 | 190 | |
| 19 | 2008 | 11 | |
| 20 | 2007 | 36 |
About Masaki Goto
Masaki Goto is a scholar working on Molecular Biology, Spectroscopy and Structural Biology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (50 papers), Protein Structure and Dynamics (21 papers), Surfactants and Colloidal Systems (11 papers), Protein Interaction Studies and Fluorescence Analysis (11 papers), Sphingolipid Metabolism and Signaling (10 papers), Photoreceptor and optogenetics research (4 papers), Molecular Sensors and Ion Detection (4 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Nephrology (223 citations), Spectroscopy (141 citations) and Molecular Biology (495 citations). Masaki Goto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hitoshi Matsuki, Nobutake Tamai, Shoji Kaneshina, Mitsuhiro Endoh, Maki Ando, Takeshi Kawamura, Yasuhiko Tomino, Kenji Wakai, Masataka Kusube and Paul Smith. Their work appears in journals such as Environmental Science & Technology, Langmuir and Environmental Health Perspectives.
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.