Xiao-ling YAN

733 citations
42 papers · 524 · h-index 15

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

Xiao-ling YAN

41 papers receiving 519 citations

Peers

Xiao-ling YAN
Comparison fields: 5 of 76
  • Genetics 143
  • Cancer Research 103
  • Emergency Medical Services 18
  • Endocrinology, Diabetes and Metabolism 36
  • Health Informatics 5
Replace Sue Picton with:
Sue Picton United Kingdom
Ying Jiang China
Daniel Jacobs United States
Melissa H. Madden United States
James E. Browning United States
Jennifer A. Oberg United States
James T. Hayden United Kingdom
Stefano Mattarocci Switzerland
Sarah Zieber Rush United States
Robert Mitchell Baldwin Canada
Xiao-ling YAN relative to Sue Picton United Kingdom Sue Picton's profile →
Citations per field
00.5×2×4×5.7×
Sue Picton · 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 201553
2 201451
3 201837
4 201733
5 202032
6 202429
7 201828
8 201828
9 201724
10 201321
11 201821
12 201819
13 202018
14 201317
15 201116
16 201012
17 201912
18 202311
19
Diffuse midline glioma, H3 K27M-mutant
20177
20 20227

About Xiao-ling YAN

Xiao-ling YAN is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Cancer Research and Oncology, having authored 42 papers that have together received 524 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Pituitary Gland Disorders and Treatments (6 papers), MicroRNA in disease regulation (2 papers), Multiple Sclerosis Research Studies (2 papers), Adrenal and Paraganglionic Tumors (1 paper), Global Cancer Incidence and Screening (1 paper), Economic and Financial Impacts of Cancer (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (143 citations), Cancer Research (103 citations), Emergency Medical Services (18 citations), Endocrinology, Diabetes and Metabolism (36 citations) and Health Informatics (5 citations). Xiao-ling YAN has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jinhuan Wang, Chang Shu, Fan Tang, Jiayu Liu, Xuebin Zhang, Qiong Wang, Xuebin Zhang, Tao Duan, Yi Zhang and Qin Wang. Their work appears in journals such as International Journal for Equity in Health, International Journal of Oncology, Journal of Molecular Neuroscience, Frontiers in Psychiatry and Cell Death and Disease.

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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