Masashi Tabuchi
Impact in
-
- Circadian rhythm and melatonin
- Pharmacology top 0.5%
- Alkaloids: synthesis and pharmacology
Papers in
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- Neurobiology and Insect Physiology Research 24
- Pharmacology 18
- Alkaloids: synthesis and pharmacology 13
- Co-authors
- Mark N. Wu (11 shared papers)Sha Liu (7 shared papers)Yoshio Kase (16 shared papers)Qili Liu (5 shared papers)Yasushi Ikarashi (23 shared papers)Takuji Yamaguchi (18 shared papers)Seiichi Iizuka (5 shared papers)Sachiko Imamura (8 shared papers)
- Journals
- EXPERIMENTAL ANIMALS (4 papers)Journal of Ethnopharmacology (3 papers)Current Biology (3 papers)Neuroscience (3 papers)eLife (3 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Masashi Tabuchi
64 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Endocrine and Autonomic Systems 481
- Pharmacology 495
- Biological Psychiatry 136
- Cellular and Molecular Neuroscience 853
- Developmental Neuroscience 192
Countries citing papers authored by Masashi Tabuchi
This map shows the geographic impact of Masashi Tabuchi'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 Masashi Tabuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Tabuchi more than expected).
Fields of papers citing papers by Masashi Tabuchi
This network shows the impact of papers produced by Masashi Tabuchi. 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 Masashi Tabuchi. The network helps show where Masashi Tabuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Masashi Tabuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 295 | |
| 2 | 2016 | 212 | |
| 3 | 2015 | 130 | |
| 4 | 1999 | 120 | |
| 5 | 2006 | 108 | |
| 6 | 2014 | 106 | |
| 7 | 2009 | 87 | |
| 8 | 2009 | 85 | |
| 9 | 2017 | 81 | |
| 10 | 2012 | 80 | |
| 11 | 2012 | 74 | |
| 12 | 2020 | 72 | |
| 13 | 2011 | 71 | |
| 14 | 2008 | 59 | |
| 15 | 2005 | 58 | |
| 16 | 2011 | 56 | |
| 17 | 2020 | 51 | |
| 18 | 2013 | 49 | |
| 19 | 2013 | 42 | |
| 20 | 2006 | 41 |
About Masashi Tabuchi
Masashi Tabuchi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Endocrine and Autonomic Systems, Physiology and Plant Science, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (24 papers), Alkaloids: synthesis and pharmacology (13 papers), Circadian rhythm and melatonin (11 papers), Alzheimer's disease research and treatments (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Sleep and Wakefulness Research (6 papers), Traditional and Medicinal Uses of Annonaceae (5 papers) and Insect Pheromone Research and Control (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (481 citations), Pharmacology (495 citations), Biological Psychiatry (136 citations), Cellular and Molecular Neuroscience (853 citations) and Developmental Neuroscience (192 citations). Masashi Tabuchi has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Mark N. Wu, Sha Liu, Yoshio Kase, Qili Liu, Yasushi Ikarashi, Takuji Yamaguchi, Seiichi Iizuka, Sachiko Imamura, Hitomi Kanno and Vicky C. Jones. Their work appears in journals such as EXPERIMENTAL ANIMALS, Journal of Ethnopharmacology, Current Biology, Neuroscience and eLife.
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.