Xiao-ling YAN

696 citations
42 papers · 466 indexed · h-index 13

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Glioma Diagnosis and Treatment 12
    • Genetic diversity and population structure 2
    • MicroRNA in disease regulation 7

Xiao-ling YAN

40 papers receiving 462 citations

Peers

Xiao-ling YAN
Comparison fields: 5 of 98
  • Genetics 126
  • Cancer Research 126
  • Molecular Biology 234
  • Pharmacy 15
  • Aging 5
Replace Renée S. Suen with:
Renée S. Suen Canada
Sarah Hsu United States
T. Zheng United States
Philippe Jacquet Switzerland
J. Wolf Germany
Jennifer Wright United States
Burak Durmaz Türkiye
Reza Asadollahi Switzerland
Tomoyasu Higashimoto United States
Carolyn T. Spencer United States
Xiao-ling YAN relative to Renée S. Suen Canada Renée S. Suen's profile →
Citations per field
00.5×3.8×
Renée S. Suen · 1×
Citations per year

Countries citing papers authored by Xiao-ling YAN

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-ling YAN

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-ling YAN. 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 Xiao-ling YAN. The network helps show where Xiao-ling YAN may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 201448
3 201835
4 201731
5 202031
6 201827
7 201722
8 201820
9 201319
10 201818
11 202017
12 201315
13 201114
14 201012
15 201912
16 201611
17 202410
18 20238
19
Diffuse midline glioma, H3 K27M-mutant
20177
20 20227

About Xiao-ling YAN

Xiao-ling YAN is a scholar working on Genetics, Cancer Research, Developmental Neuroscience, Emergency Medical Services and Neurology, having authored 42 papers that have together received 466 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (4 papers), Plant and animal studies (3 papers), Genetic diversity and population structure (2 papers), Meningioma and schwannoma management (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (126 citations), Cancer Research (126 citations), Molecular Biology (234 citations), Pharmacy (15 citations) and Aging (5 citations). Xiao-ling YAN has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinhuan Wang, Chang Shu, Fan Tang, Jiayu Liu, Qiong Wang, Xuebin Zhang, Xuebin Zhang, Wei Li, Tao Duan and Ping Yang. Their work appears in journals such as Scientific Reports, Frontiers in Psychiatry, Conservation Genetics, Journal of Multidisciplinary Healthcare and OncoTargets and Therapy.

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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