Xiaohui Yuan

5.8k total citations · 1 hit paper
58 papers, 2.8k citations indexed

About

Xiaohui Yuan is a scholar working on Plant Science, Genetics and Food Science. According to data from OpenAlex, Xiaohui Yuan has authored 58 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 14 papers in Genetics and 11 papers in Food Science. Recurrent topics in Xiaohui Yuan's work include Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (17 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Xiaohui Yuan is often cited by papers focused on Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (17 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Xiaohui Yuan collaborates with scholars based in China, United States and Japan. Xiaohui Yuan's co-authors include Lilin Yin, Xiaolei Liu, Haohao Zhang, Baohui Liu, Shuhong Zhao, Xinyun Li, Fanjiang Kong, Zhenshuang Tang, Dong Yin and Zhiwu Zhang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Xiaohui Yuan

53 papers receiving 2.8k citations

Hit Papers

rMVP: A Memory-Efficient, Visualization-Enhanced, and Par... 2021 2026 2022 2024 2021 200 400 600

Peers

Xiaohui Yuan
Comparison fields: 5 of 155
  • Plant Science 1.7k
  • Genetics 728
  • Molecular Biology 610
  • Agronomy and Crop Science 293
  • Artificial Intelligence 143
Replace Rongling Wu with:
Rongling Wu United States
Esmaeil Ebrahimie Australia
Feng Chen China
Yong Jiang China
Andrew Farmer United States
Hongru Wang China
Tongming Yin China
Toshiki Nakamura Japan
Tingting Liu China
Rongling Wu United States View profile →
Citations per field, relative to Xiaohui Yuan
Xiaohui Yuan · 1×
Citations per year, relative to Xiaohui Yuan
Xiaohui Yuan · 1×

Countries citing papers authored by Xiaohui Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Yuan. A scholar is included among the top collaborators of Xiaohui Yuan 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 Xiaohui Yuan. Xiaohui Yuan 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 2
3 0
4 51
5
rMVP: A Memory-Efficient, Visualization-Enhanced, and Parallel-Accelerated Tool for Genome-Wide Association Study breakdown →
653
6 119
7 20
8 46
9 30
10 142
11 80
12 19
13 24
14 26
15 121
16 37
17 67
18 122
19
Identification methods for pakchoi [Brassica campestris L. ssp. chinensis (L.) Makino var. communid Tsen et Lee] water-logging tolerance
1
20 2

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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