Mingjuan Yang

596 citations
37 papers · 367 · h-index 12

Impact in

    • Genomic variations and chromosomal abnormalities
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic and phenotypic traits in livestock 4
    • Genomic variations and chromosomal abnormalities 3

Mingjuan Yang

36 papers receiving 363 citations

Peers

Mingjuan Yang
Comparison fields: 5 of 82
  • Genetics 166
  • Small Animals 21
  • Biophysics 15
  • Molecular Biology 167
  • Cancer Research 35
Replace José Arturo Molina-Mora with:
José Arturo Molina-Mora Costa Rica
Sicheng Wu China
Hui Niu China
N. Pazhanivel India
Bastian Pasche Germany
Maud Arsac France
Jamie A. Meadows United States
П. А. Руденко Russia
Naoko Shibata Japan
Marc Boelhauve Germany
Mingjuan Yang relative to José Arturo Molina-Mora Costa Rica José Arturo Molina-Mora's profile →
Citations per field
00.5×5.3×
José Arturo Molina-Mora · 1×
Citations per year

Countries citing papers authored by Mingjuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingjuan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingjuan Yang Line = papers co-authored together Mingjuan Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201455
2 201531
3 201630
4 201729
5 201623
6 201321
7 201618
8 201415
9 201614
10 201313
11 201613
12 202411
13 202211
14 20179
15 20138
16 20118
17 20227
18 20135
19 20204
20 20214

About Mingjuan Yang

Mingjuan Yang is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Physiology, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Viral Infections and Vectors (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Viral Infections and Outbreaks Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Bacteriophages and microbial interactions (3 papers), Chromosomal and Genetic Variations (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Genetics (166 citations), Small Animals (21 citations), Biophysics (15 citations), Molecular Biology (167 citations) and Cancer Research (35 citations). Mingjuan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuzhao Lei, Xianyong Lan, Yongzhen Huang, Yao Xu, Yang Zhou, Xianyong Lan, Hong Chen, Congjun Li, Zeliang Chen and Yuehua Ke. Their work appears in journals such as Scientific Reports, Livestock Science, Gene, OMICS A Journal of Integrative Biology and Journal of Ethnopharmacology.

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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