Can Xiao

504 citations
28 papers · 340 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 4
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 5

Can Xiao

22 papers receiving 335 citations

Peers

Can Xiao
Comparison fields: 5 of 72
  • Cancer Research 90
  • Molecular Medicine 19
  • Periodontics 17
  • Otorhinolaryngology 14
  • Molecular Biology 189
Replace Cong‐Cong Wu with:
Cong‐Cong Wu China
Alejandro Herreros‐Pomares Spain
Ramona Gabriela Ursu Romania
David G. Hwang United States
Eiki Yamachika Japan
Xiaoxue Yang China
Yuangang Lu China
Jacqueline S. Daly Ireland
Yeuni Yu South Korea
Can Xiao relative to Cong‐Cong Wu China Cong‐Cong Wu's profile →
Citations per field
00.5×6.5×
Cong‐Cong Wu · 1×
Citations per year

Countries citing papers authored by Can Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Can Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202359
2 201439
3 201535
4 202233
5 202031
6 202424
7 201721
8 201421
9 201812
10 20139
11 20238
12 20208
13 20227
14 20246
15 20206
16 20236
17 20204
18 20234
19 20243
20 20242

About Can Xiao

Can Xiao is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Rheumatology, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Bone Tissue Engineering Materials (3 papers), Circular RNAs in diseases (2 papers), Ear and Head Tumors (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Cancer Research (90 citations), Molecular Medicine (19 citations), Periodontics (17 citations), Otorhinolaryngology (14 citations) and Molecular Biology (189 citations). Can Xiao has collaborated with scholars based in China, United States and France. Frequent co-authors include Chenping Zhang, Jianhua Zhou, Lifang Zhu, Lili Wang, Longqiang Wang, Jun Zhao, Zhe Lei, Hongtao Zhang, Shan Jiang and Rongrong Li. Their work appears in journals such as The Journal of Biochemistry, International Journal of Radiation Oncology*Biology*Physics, Journal of Separation Science, Medicine and Skin Research and Technology.

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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