Yingxia Ning

629 citations
20 papers · 354 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

    • FOXO transcription factor regulation 4
    • Epigenetics and DNA Methylation 2
    • RNA Research and Splicing 2
    • Circular RNAs in diseases 2
    • Cancer Cells and Metastasis 4

Yingxia Ning

19 papers receiving 348 citations

Peers

Yingxia Ning
Comparison fields: 5 of 60
  • Cancer Research 147
  • Oncology 109
  • Immunology and Allergy 20
  • Molecular Biology 212
  • Reproductive Medicine 24
Replace Yolla Haibe with:
Yolla Haibe Lebanon
Xiaona Meng China
Marina Riggio Argentina
Sulan Zhai China
Bing Yu China
Domenico Zito Italy
Hong Im Kim United States
Baozhong Li China
Leanne Lee Leung Hong Kong
Ulrika W. Nilsson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Yingxia Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yingxia Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201767
2 201856
3 202044
4 201430
5 201725
6 202324
7 201424
8 201719
9 202012
10 202012
11 20219
12 20149
13 20216
14 20225
15 20184
16 20243
17 20213
18
A miRNA-205-based model for prediction of the recurrence of endometrioid endometrial cancer.
20231
19 20251
20 20130

About Yingxia Ning

Yingxia Ning is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Surgery, having authored 20 papers that have together received 354 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer Cells and Metastasis (4 papers), FOXO transcription factor regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (147 citations), Oncology (109 citations), Immunology and Allergy (20 citations), Molecular Biology (212 citations) and Reproductive Medicine (24 citations). Yingxia Ning has collaborated with scholars based in China. Frequent co-authors include Jianguo Cao, Xiaocheng Cao, Kaiqun Ren, Xin Luo, Meifang Quan, Meng Xu, Chang Xu, Fang Zhao, Zhiqiang Chen and Hui Liu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Aging, Oncology Reports, Cancer Biomarkers and Recent Patents on Anti-Cancer Drug Discovery.

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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