Yuehua Cui

2.9k citations
140 papers · 2.1k indexed · h-index 25
Topics
Genetic Mapping and Diversity in Plants and Animals (45 papers)Genetic Associations and Epidemiology (34 papers)Gene expression and cancer classification (30 papers)

In The Last Decade

Yuehua Cui

129 papers receiving 2.1k citations

Peers

Yuehua Cui
Comparison fields: 5 of 152
  • Molecular Biology 1.0k
  • Genetics 684
  • Plant Science 403
  • Statistics and Probability 178
  • Cancer Research 162
Replace Cheol‐Koo Lee with:
Cheol‐Koo Lee South Korea
Jennifer Clarke United States
Pascal G.P. Martin France
Jim Kaput United States
Xin He China
Yuanfang Guan United States
Yun Zhu United States
Benjamin Yakir Israel
Daniël J. Vis Netherlands
Sven Hellberg Sweden
Yuehua Cui relative to Cheol‐Koo Lee South Korea Cheol‐Koo Lee's profile →
Citations per field
00.5×3.0×
Cheol‐Koo Lee · 1×
Citations per year

Countries citing papers authored by Yuehua Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yuehua Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuehua Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yuehua Cui. A scholar is included among the top collaborators of Yuehua Cui 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 Yuehua Cui. Yuehua Cui 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 0
3 5
4 1
5 1
6 0
7 2
8 2
9 13
10 1
11 2
12 29
13 30
14 29
15
Effect of metal ions on the growth and metabolites production of Ganoderma lucidum in submerged culture
4
16 10
17 12
18 17
19 57
20 17

About Yuehua Cui

Yuehua Cui is a scholar working on Genetics, Statistics and Probability and Developmental Neuroscience, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (45 papers), Genetic Associations and Epidemiology (34 papers) and Gene expression and cancer classification (30 papers). The work is most often cited by research in Genetics (684 citations), Statistics and Probability (178 citations) and Molecular Biology (1.0k citations). Yuehua Cui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Rongling Wu, Cen Wu, Shaoyu Li, Qing Lu, Vincent Burlat, Vincent Courdavault, Sarah E. O’Connor, Nathaniel H. Sherden, Fernando Geu‐Flores and Roberto Romero. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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