Bin Tu

2.6k total citations
59 papers, 1.4k citations indexed

About

Bin Tu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Bin Tu has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 17 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Bin Tu's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (11 papers) and Rice Cultivation and Yield Improvement (11 papers). Bin Tu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (11 papers) and Rice Cultivation and Yield Improvement (11 papers). Bin Tu collaborates with scholars based in China, United States and Australia. Bin Tu's 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 and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Bin Tu

55 papers receiving 1.4k citations

Peers

Bin Tu
Comparison fields: 5 of 95
  • Plant Science 655
  • Molecular Biology 474
  • Cellular and Molecular Neuroscience 269
  • Genetics 243
  • Psychiatry and Mental health 206
Replace Shinya Kasai with:
Shinya Kasai Japan
Shuan‐Yow Li Taiwan
Swalpa Udit United States
Antonia Alonso Spain
Xiuhe Zhao China
Dariusz Orłowski Denmark
Jolanta Parada-Turska Poland
Amol K. Bhandage Sweden
Aurelio Pasi Switzerland
Tohko Iida Japan
Shinya Kasai Japan View profile →
Citations per field, relative to Bin Tu
Bin Tu · 1×
Citations per year, relative to Bin Tu
Bin Tu · 1×

Countries citing papers authored by Bin Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bin Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Tu. A scholar is included among the top collaborators of Bin Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Tu. Bin Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 19
5 14
6 11
7 13
8 7
9
Overexpression of SOX9 alleviates the progression of human osteoarthritis in vitro and in vivo
2
10 16
11 8
12 64
13
Standard facilities with high precision using master meter method
0
14 24
15
Chest CT characteristics of 121 adult patients with adenovirus type 55 pneumonia
1
16
QTL Analysis of Cold Resistance and Ratooning Ability by Using indica-japonica RIL Populations in Rice
2
17 109
18 31
19 66
20
[Evaluation of the arterial phase of biphase enhanced SCT in the diagnosis of small HCC].
1

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.

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