Xiaoling Ling

548 citations
20 papers · 297 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 3
    • Cancer-related Molecular Pathways 3
    • HER2/EGFR in Cancer Research 2

Xiaoling Ling

19 papers receiving 295 citations

Peers

Xiaoling Ling
Comparison fields: 5 of 52
  • Cancer Research 106
  • Molecular Biology 160
  • Oncology 49
  • Endocrinology, Diabetes and Metabolism 25
  • Immunology 25
Replace Jiaxiang Wang with:
Jiaxiang Wang China
Yongsheng Li China
Jinzhe Zhou China
Natalie A. Daurio United States
Wanrong Wu China
Innocent Ogunmwonyi United Kingdom
Maoguang Ma China
Karin Welén Sweden
Xiaoling Ling relative to Jiaxiang Wang China Jiaxiang Wang's profile →
Citations per field
00.5×1.5×2.0×
Jiaxiang Wang · 1×
Citations per year

Countries citing papers authored by Xiaoling Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202168
2 201956
3 200933
4 202024
5 202416
6 202216
7 202213
8 202211
9 202211
10 201511
11 202310
12 20147
13 20235
14 20234
15 20244
16 20243
17 20213
18 20231
19 20221
20 20230

About Xiaoling Ling

Xiaoling Ling is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Molecular Sensors and Ion Detection (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Advanced Breast Cancer Therapies (2 papers), HER2/EGFR in Cancer Research (2 papers), Luminescence and Fluorescent Materials (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (106 citations), Molecular Biology (160 citations), Oncology (49 citations), Endocrinology, Diabetes and Metabolism (25 citations) and Immunology (25 citations). Xiaoling Ling has collaborated with scholars based in China and Canada. Frequent co-authors include Da Zhao, Bingxue Yan, Xiaoming Hou, Xiangjin Li, Fei Su, Yongbin Lu, Xiaoying Xu, Xin Liu, Tao Zhang and Xingxu Zhao. Their work appears in journals such as Breast Cancer, Journal of Clinical Oncology, Breast Cancer Targets and Therapy, Molecular Biology Reports and Biochemical and Biophysical Research Communications.

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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