Dayun Tao

3.2k citations
57 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Genetic Mapping and Diversity in Plants and Animals (43 papers)Rice Cultivation and Yield Improvement (25 papers)GABA and Rice Research (18 papers)
Partner nations
ChinaPhilippinesFrance

In The Last Decade

Dayun Tao

56 papers receiving 1.3k citations

Hit Papers

G-protein βγ subunits determine grain size through intera...2018202620202023201850100150200250

Peers

Dayun Tao
Comparison fields: 5 of 74
  • Plant Science 1.1k
  • Genetics 657
  • Molecular Biology 329
  • Agronomy and Crop Science 106
  • General Agricultural and Biological Sciences 99
Replace Zerihun Tadele with:
Zerihun Tadele Switzerland
Maricelis Acevedo United States
Hailu Tefera Ethiopia
E. P. Guimarães Brazil
D. S. Virk United Kingdom
Mario Enrico Pè Italy
Godfrey Asea Uganda
Mosisa Worku Kenya
Jens Grønbech Hansen Denmark
Kai P. Voss‐Fels Australia
Dayun Tao relative to Zerihun Tadele Switzerland Zerihun Tadele's profile →
Citations per field
00.5×3.3×
Zerihun Tadele · 1×
Citations per year

Countries citing papers authored by Dayun Tao

Since Specialization
Citations

This map shows the geographic impact of Dayun Tao'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 Dayun Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayun Tao more than expected).

Fields of papers citing papers by Dayun Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayun Tao. 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 Dayun Tao. The network helps show where Dayun Tao may publish in the future.

Co-authorship network of co-authors of Dayun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Dayun Tao. A scholar is included among the top collaborators of Dayun Tao 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 Dayun Tao. Dayun Tao 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
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 1
6 3
7 1
8 3
9 12
10 12
11 1
12 6
13 10
14 43
15 11
16 19
17 2
18 10
19 14
20 1

About Dayun Tao

Dayun Tao is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (43 papers), Rice Cultivation and Yield Improvement (25 papers) and GABA and Rice Research (18 papers). The work is most often cited by research in Plant Science (1.1k citations), Genetics (657 citations) and General Agricultural and Biological Sciences (99 citations). Dayun Tao has collaborated with scholars based in China, Philippines and France. Frequent co-authors include Jiawu Zhou, Peng Xu, Fengyi Hu, Shijun Ding, Haitao Wu, Xianneng Deng, Modesto Amante, G. N. Atlin, M. Laza and H.R. Lafïtte. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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