Qing Yang

3.0k citations
109 papers · 2.3k · h-index 27

Impact in

    • Pregnancy and preeclampsia studies
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Animal Genetics and Reproduction
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Kruppel-like factors research 6
    • RNA Research and Splicing 6
    • Genetic and phenotypic traits in livestock 6
    • Animal Genetics and Reproduction 6

Qing Yang

107 papers receiving 2.3k citations

Peers

Qing Yang
Comparison fields: 5 of 115
  • Obstetrics and Gynecology 151
  • Genetics 549
  • Cancer Research 261
  • Aquatic Science 106
  • Molecular Biology 955
Replace Pascal Froment with:
Pascal Froment France
Siwen Jiang China
Yongliang Zhang China
Jannette M. Dufour United States
Gongshe Yang China
Qianyun Xi China
Bruno Cogliati Brazil
Zhihui Zhao China
Noboru MANABE Japan
Li Zhu China
Qing Yang relative to Pascal Froment France Pascal Froment's profile →
Citations per field
00.5×1.7×
Pascal Froment · 1×
Citations per year

Countries citing papers authored by Qing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qing 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 Qing Yang Line = papers co-authored together Qing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 201893
3 201884
4 201283
5 201782
6 200477
7 201776
8 201368
9 200563
10 198960
11 201659
12 201858
13 198956
14 201851
15 201648
16 201848
17 201346
18 201442
19 201842
20 198840

About Qing Yang

Qing Yang is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Cancer Research, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Reproductive System and Pregnancy (8 papers), Animal Virus Infections Studies (7 papers), Kruppel-like factors research (6 papers), Genetic and phenotypic traits in livestock (6 papers), RNA Research and Splicing (6 papers), Animal Genetics and Reproduction (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (151 citations), Genetics (549 citations), Cancer Research (261 citations), Aquatic Science (106 citations) and Molecular Biology (955 citations). Qing Yang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lynne M. Angerer, Robert C. Angerer, Hsueh‐Kung Lin, Chuanying Pan, Kar‐Ming Fung, Xianyong Lan, Xianyong Lan, Bradley P. Kropp, Ke Wang and Hong Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Histochemistry & Cytochemistry, Theriogenology, Developmental Biology and International Journal of Molecular Sciences.

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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