Bin Tu
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Plant Molecular Biology Research 12
- Rice Cultivation and Yield Improvement 11
- GABA and Rice Research 10
- Plant nutrient uptake and metabolism 8
- Plant Stress Responses and Tolerance 6
- Genetics 17
- Genetic Mapping and Diversity in Plants and Animals 16
- Co-authors
- Nicolás G. Bazán (2 shared papers)Shigui Li (28 shared papers)Bingtian Ma (22 shared papers)Yuping Wang (20 shared papers)Weilan Chen (20 shared papers)Peng Qin (23 shared papers)Jan Claassen (3 shared papers)Hua Yuan (19 shared papers)
- Journals
- Plant Science (4 papers)The Crop Journal (4 papers)Frontiers in Plant Science (3 papers)Journal of Experimental Botany (3 papers)Annals of Neurology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Tu
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Plant Science 650
- Cellular and Molecular Neuroscience 231
- Psychiatry and Mental health 165
- Neurology 147
- Genetics 241
Countries citing papers authored by Bin Tu
This map shows the geographic impact of Bin Tu'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 Bin Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Tu more than expected).
Fields of papers citing papers by Bin Tu
This network shows the impact of papers produced by Bin Tu. 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 Bin Tu. The network helps show where Bin Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Tu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2013 | 147 | |
| 3 | 2012 | 114 | |
| 4 | 2003 | 94 | |
| 5 | 2019 | 86 | |
| 6 | 2021 | 81 | |
| 7 | 2005 | 70 | |
| 8 | 2017 | 66 | |
| 9 | 2002 | 56 | |
| 10 | 2021 | 52 | |
| 11 | 2007 | 45 | |
| 12 | 2016 | 45 | |
| 13 | 2020 | 38 | |
| 14 | 2009 | 32 | |
| 15 | 2022 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2015 | 25 | |
| 18 | 2021 | 20 | |
| 19 | 2003 | 20 | |
| 20 | 2020 | 19 |
About Bin Tu
Bin Tu is a scholar working on Plant Science, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Surgery, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (12 papers), Rice Cultivation and Yield Improvement (11 papers), GABA and Rice Research (10 papers), Plant nutrient uptake and metabolism (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Plant Stress Responses and Tolerance (6 papers) and Plant Reproductive Biology (5 papers). The work is most often cited by research in Plant Science (650 citations), Cellular and Molecular Neuroscience (231 citations), Psychiatry and Mental health (165 citations), Neurology (147 citations) and Genetics (241 citations). Bin Tu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicolás G. Bazán, Shigui Li, Bingtian Ma, Yuping Wang, Weilan Chen, Peng Qin, Jan Claassen, Hua Yuan, Yiqun Jiao and J. Victor Nadler. Their work appears in journals such as Plant Science, The Crop Journal, Frontiers in Plant Science, Journal of Experimental Botany and Annals of Neurology.
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.