Xiaoling Yang

778 citations
25 papers · 602 · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Rheumatology top 10%
    • Folate and B Vitamins Research

Papers in

    • Epigenetics and DNA Methylation 9
    • RNA modifications and cancer 7
    • Peroxisome Proliferator-Activated Receptors 3
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 3
    • Cancer, Lipids, and Metabolism 2

Xiaoling Yang

25 papers receiving 595 citations

Peers

Xiaoling Yang
Comparison fields: 5 of 79
  • Cancer Research 146
  • Rheumatology 146
  • Molecular Biology 351
  • Obstetrics and Gynecology 34
  • Immunology 62
Replace Nils Bömer with:
Nils Bömer Netherlands
Shabnam Pooya United States
Faezeh Vasheghani Canada
Lijun Duan China
Xiaojun Chen China
Iwona Wybrańska Poland
Wenjun Lin China
Meiqing Liu China
Qi Han China
Xiaoling Yang relative to Nils Bömer Netherlands Nils Bömer's profile →
Citations per field
00.5×2.8×
Nils Bömer · 1×
Citations per year

Countries citing papers authored by Xiaoling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201850
3 201745
4 201341
5 201636
6 201833
7 202332
8 201631
9 201330
10 201627
11 201327
12 201625
13 201724
14 201423
15 202219
16 201718
17 201716
18 201813
19 201612
20 201212

About Xiaoling Yang

Xiaoling Yang is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Oncology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 602 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (11 papers), Epigenetics and DNA Methylation (9 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cancer Research (146 citations), Rheumatology (146 citations), Molecular Biology (351 citations), Obstetrics and Gynecology (34 citations) and Immunology (62 citations). Xiaoling Yang has collaborated with scholars based in China and Sweden. Frequent co-authors include Yideng Jiang, Huiping Zhang, Anning Yang, Shengchao Ma, Minghao Zhang, Guizhong Li, Jue Tian, Hua Xu, Songhao Yang and Yun Jiao. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Journal of Cellular Biochemistry, Experimental Cell Research, Placenta and Cell Proliferation.

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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