Yuhua Chen

537 citations
35 papers · 390 indexed · h-index 12
Topics
Genetic Mapping and Diversity in Plants and Animals (6 papers)Advanced biosensing and bioanalysis techniques (5 papers)Genetic and phenotypic traits in livestock (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAnalytical Biochemistry
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Yuhua Chen

34 papers receiving 381 citations

Peers

Yuhua Chen
Comparison fields: 5 of 81
  • Molecular Biology 186
  • Plant Science 116
  • Genetics 70
  • Insect Science 44
  • Cancer Research 44
Replace Ji Luo with:
Ji Luo China
Dong Yu China
Palas K. Chanda India
Marco Salgado Sweden
Sahar Saleem India
Gholamreza Ahmadian Iran
Wan‐Fu Yue China
Mohammed Zuber United States
Zhiwei Huang China
Yuhua Chen relative to Ji Luo China Ji Luo's profile →
Citations per field
00.5×1.5×2.1×
Ji Luo · 1×
Citations per year

Countries citing papers authored by Yuhua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuhua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Chen. A scholar is included among the top collaborators of Yuhua Chen 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 Yuhua Chen. Yuhua Chen 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 1
2 0
3 1
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5 4
6 10
7 9
8 25
9 11
10 6
11 30
12 31
13 3
14 12
15 6
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17
Lipidomics and Its Application in Nutrition and Health Research
2
18
Analysis of proteins in the antennae of Bombyx mori moths by two-dimensional electrophoresis.
2
19 5
20 16

About Yuhua Chen

Yuhua Chen is a scholar working on Biological Psychiatry, Plant Science and Genetics, having authored 35 papers that have together received 390 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Endocrinology (33 citations), Molecular Medicine (19 citations) and Insect Science (44 citations). Yuhua Chen has collaborated with scholars based in China, United States and India. Frequent co-authors include Weide Shen, Chunfa Tong, Hainan Wu, Wei Zhao, Dan Yao, Zheng-Guo Wei, Sheng‐He Huang, Yanhong Wang, Mark Borodovsky and Haitao Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

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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