Yun Tao

2.4k total citations
44 papers, 1.8k citations indexed

About

Yun Tao is a scholar working on Health, Toxicology and Mutagenesis, Genetics and Analytical Chemistry. According to data from OpenAlex, Yun Tao has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 11 papers in Genetics and 6 papers in Analytical Chemistry. Recurrent topics in Yun Tao's work include Toxic Organic Pollutants Impact (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Genetic diversity and population structure (7 papers). Yun Tao is often cited by papers focused on Toxic Organic Pollutants Impact (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Genetic diversity and population structure (7 papers). Yun Tao collaborates with scholars based in China, United States and Belgium. Yun Tao's co-authors include Daniel L. Hartl, Cathy C. Laurie, Surong Mei, Dan Luo, Liqin Hu, Colin D. Meiklejohn, Luciana Ordunha Araripe, Tingting Zhou, Sining Chen and Hailian Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Yun Tao

43 papers receiving 1.8k citations

Peers

Yun Tao
Comparison fields: 5 of 118
  • Genetics 721
  • Plant Science 439
  • Health, Toxicology and Mutagenesis 407
  • Molecular Biology 394
  • Ecology, Evolution, Behavior and Systematics 291
Replace Shiming Song with:
Shiming Song China
Steven Verhaegen Norway
Catherine Jumarie Canada
Lillian F. Strader United States
Otto Meyer Denmark
Francesca Maranghi Italy
D. K. Saxena India
Wanda M. Bodnar United States
Sharon L. Seidel United States
Nicola Beresford United Kingdom
Shiming Song China View profile →
Citations per field, relative to Yun Tao
Yun Tao · 1×
Citations per year, relative to Yun Tao
Yun Tao · 1×

Countries citing papers authored by Yun Tao

Since Specialization
Citations

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

Fields of papers citing papers by Yun Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Tao. A scholar is included among the top collaborators of Yun 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 Yun Tao. Yun 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
# Work Indexed citations
1 0
2 13
3 31
4 56
5 16
6 29
7 24
8 33
9 55
10 35
11 17
12 2
13 29
14
[Study on the sorption behavior of tetracycline onto activated sludge].
3
15 104
16 28
17 127
18 131
19 39
20 82

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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