Kim Masuda
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
- Toxicology top 2%
Papers in
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- Cannabis and Cannabinoid Research 9
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- Plant biochemistry and biosynthesis 2
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Benjamin F. Cravatt (14 shared papers)Raymond C. Stevens (1 shared paper)Michael H. Bracey (1 shared paper)Michael A. Hanson (1 shared paper)Ku‐Lung Hsu (2 shared papers)Holly Pugh (1 shared paper)Alexander Adibekian (1 shared paper)Katsunori Tsuboi (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Nature Chemical Biology (2 papers)ACS Chemical Neuroscience (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesItalyBulgaria
In The Last Decade
Kim Masuda
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Pharmacology 655
- Toxicology 76
- Biochemistry 145
- Cellular and Molecular Neuroscience 237
- Endocrinology, Diabetes and Metabolism 153
Countries citing papers authored by Kim Masuda
This map shows the geographic impact of Kim Masuda'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 Kim Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Masuda more than expected).
Fields of papers citing papers by Kim Masuda
This network shows the impact of papers produced by Kim Masuda. 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 Kim Masuda. The network helps show where Kim Masuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Masuda, 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 | 2002 | 407 | |
| 2 | 2012 | 179 | |
| 3 | 2004 | 157 | |
| 4 | 2014 | 129 | |
| 5 | 2009 | 102 | |
| 6 | 2008 | 73 | |
| 7 | 2022 | 57 | |
| 8 | 2000 | 57 | |
| 9 | 2009 | 56 | |
| 10 | 1997 | 31 | |
| 11 | 2012 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2010 | 25 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 18 | |
| 16 | 2006 | 13 | |
| 17 | 2021 | 1 |
About Kim Masuda
Kim Masuda is a scholar working on Pharmacology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (9 papers), Diet, Metabolism, and Disease (6 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lipid metabolism and biosynthesis (2 papers), Neuroscience of respiration and sleep (2 papers), Plant biochemistry and biosynthesis (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Pharmacology (655 citations), Toxicology (76 citations), Biochemistry (145 citations), Cellular and Molecular Neuroscience (237 citations) and Endocrinology, Diabetes and Metabolism (153 citations). Kim Masuda has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Benjamin F. Cravatt, Raymond C. Stevens, Michael H. Bracey, Michael A. Hanson, Ku‐Lung Hsu, Holly Pugh, Alexander Adibekian, Katsunori Tsuboi, Nadim Jessani and James M. Walker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Chemical Biology, ACS Chemical Neuroscience and Journal of Lipid Research.
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.