Ning Yang

18.1k citations
568 papers · 12.5k · 1 hit paper · h-index 51

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 65
    • Genetic Mapping and Diversity in Plants and Animals 34
    • Animal Genetics and Reproduction 26

Ning Yang

533 papers receiving 12.2k citations

Ning Yang's Hit Papers

A Long Noncoding RNA Activated by TGF-β Promotes the Invasion-Metastasis Cascade in Hepatocellular Carcinoma 2014 · 1.3k citations
1.3k0+4+8Years since publication4008001.2k

Peers

Ning Yang
Comparison fields: 5 of 182
  • Animal Science and Zoology 2.8k
  • Cancer Research 2.6k
  • Genetics 2.4k
  • Molecular Biology 4.9k
  • Immunology 1.3k
Replace Jan Hellemans with:
Jan Hellemans Belgium
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Ning Yang relative to Jan Hellemans Belgium Jan Hellemans's profile →
Citations per field
00.5×5.4×
Jan Hellemans · 1×
Citations per year

Countries citing papers authored by Ning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 568 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Long Noncoding RNA Activated by TGF-β Promotes the Invasion-Metastasis Cascade in Hepatocellular Carcinoma
Hit paper breakdown →
20141304
2 2014375
3 2009241
4 2017214
5 2019180
6 2005140
7 2012123
8 2006118
9 2013112
10 2021112
11 2006107
12 201999
13 201197
14 200593
15 201892
16 201390
17 201689
18 201387
19 201385
20 201983

About Ning Yang

Ning Yang is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Immunology and Cancer Research, having authored 568 papers that have together received 12.5k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (85 papers), Genetic and phenotypic traits in livestock (65 papers), Cancer-related molecular mechanisms research (43 papers), Aquaculture disease management and microbiota (43 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers), Livestock and Poultry Management (33 papers), MicroRNA in disease regulation (28 papers) and Animal Genetics and Reproduction (26 papers). The work is most often cited by research in Animal Science and Zoology (2.8k citations), Cancer Research (2.6k citations), Genetics (2.4k citations), Molecular Biology (4.9k citations) and Immunology (1.3k citations). Ning Yang has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Congjiao Sun, Jiangxia Zheng, Lujiang Qu, Guiyun Xu, Wei Yan, Chaoliang Wen, Guixia Xu, Fu Yang, Ji‐hang Yuan and Zhuocheng Hou. Their work appears in journals such as Poultry Science, Fish & Shellfish Immunology, PLoS ONE, BMC Genomics and Scientific Reports.

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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