Masashi Tabuchi
Impact in
-
- Circadian rhythm and melatonin
- Pharmacology top 0.5%
- Alkaloids: synthesis and pharmacology
Papers in
-
- Neurobiology and Insect Physiology Research 22
- Pharmacology 17
- Alkaloids: synthesis and pharmacology 12
- 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 (22 shared papers)Takuji Yamaguchi (17 shared papers)Sachiko Imamura (8 shared papers)Seiichi Iizuka (5 shared papers)
- Journals
- Current Biology (4 papers)EXPERIMENTAL ANIMALS (4 papers)Journal of Ethnopharmacology (3 papers)Neuroscience (3 papers)Neuron (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masashi Tabuchi
64 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Endocrine and Autonomic Systems 477
- Pharmacology 495
- Developmental Neuroscience 199
- Biological Psychiatry 115
- Cellular and Molecular Neuroscience 859
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 319 | |
| 2 | 2016 | 224 | |
| 3 | 2015 | 139 | |
| 4 | 1999 | 125 | |
| 5 | 2014 | 113 | |
| 6 | 2006 | 112 | |
| 7 | 2009 | 93 | |
| 8 | 2009 | 90 | |
| 9 | 2017 | 85 | |
| 10 | 2012 | 84 | |
| 11 | 2012 | 80 | |
| 12 | 2020 | 76 | |
| 13 | 2011 | 73 | |
| 14 | 2005 | 63 | |
| 15 | 2020 | 60 | |
| 16 | 2008 | 60 | |
| 17 | 2011 | 57 | |
| 18 | 2013 | 50 | |
| 19 | 2013 | 45 | |
| 20 | 2006 | 41 |
About Masashi Tabuchi
Masashi Tabuchi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Endocrine and Autonomic Systems, Physiology and Insect Science, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Alkaloids: synthesis and pharmacology (12 papers), Circadian rhythm and melatonin (10 papers), Sleep and Wakefulness Research (6 papers), Insect Pheromone Research and Control (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Alzheimer's disease research and treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (477 citations), Pharmacology (495 citations), Developmental Neuroscience (199 citations), Biological Psychiatry (115 citations) and Cellular and Molecular Neuroscience (859 citations). Masashi Tabuchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Mark N. Wu, Sha Liu, Yoshio Kase, Qili Liu, Yasushi Ikarashi, Takuji Yamaguchi, Sachiko Imamura, Seiichi Iizuka, Hitomi Kanno and Jose Julio Rodriguez. Their work appears in journals such as Current Biology, EXPERIMENTAL ANIMALS, Journal of Ethnopharmacology, Neuroscience and Neuron.
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.