Chao Ning

1.8k citations
73 papers · 1.2k · h-index 24

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Insect and Arachnid Ecology and Behavior
    • Cancer-related molecular mechanisms research

Papers in

    • Genetic and phenotypic traits in livestock 24
    • Genetic Mapping and Diversity in Plants and Animals 20
    • Epigenetics and DNA Methylation 4
    • Molecular Biology Techniques and Applications 4
    • Extracellular vesicles in disease 4

Chao Ning

68 papers receiving 1.2k citations

Peers

Chao Ning
Comparison fields: 5 of 98
  • Genetics 527
  • Cancer Research 253
  • Insect Science 168
  • Cellular and Molecular Neuroscience 201
  • Animal Science and Zoology 94
Replace Takanori Narita with:
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Teruaki Tozaki Japan
Jean-Jack M. Riethoven United States
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Pin‐Chi Tang Taiwan
Alex Clop Spain
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Chao Ning relative to Takanori Narita Japan Takanori Narita's profile →
Citations per field
00.5×6.1×
Takanori Narita · 1×
Citations per year

Countries citing papers authored by Chao Ning

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201760
2 201754
3 202351
4 202039
5 202438
6 202038
7 201738
8 201837
9 202337
10 201836
11 201734
12 201732
13 201831
14 201931
15 202227
16 201927
17 202026
18 201925
19 202225
20 202325

About Chao Ning

Chao Ning is a scholar working on Genetics, Molecular Biology, Cancer Research, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Cancer-related molecular mechanisms research (18 papers), Neurobiology and Insect Physiology Research (7 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Molecular Biology Techniques and Applications (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Genetics (527 citations), Cancer Research (253 citations), Insect Science (168 citations), Cellular and Molecular Neuroscience (201 citations) and Animal Science and Zoology (94 citations). Chao Ning has collaborated with scholars based in China, Indonesia and United States. Frequent co-authors include Jianfeng Liu, Chen‐Zhu Wang, Ling‐Qiao Huang, Dan Wang, Ke Yang, Xianrui Zheng, Haifei Wang, Qin Zhang, Huimin Kang and Lei Zhou. Their work appears in journals such as Frontiers in Genetics, Journal of Dairy Science, Scientific Reports, eLife and Bioinformatics.

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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