Can Yao

407 citations
25 papers · 274 · h-index 10

Impact in

Papers in

    • Natural product bioactivities and synthesis 2
    • Bone Metabolism and Diseases 2
    • 2D Materials and Applications 3
    • MXene and MAX Phase Materials 3
    • Graphene research and applications 2

Can Yao

22 papers receiving 269 citations

Peers

Can Yao
Comparison fields: 5 of 71
  • Cancer Research 50
  • Family Practice 5
  • Pharmacology 22
  • Nephrology 13
  • Critical Care and Intensive Care Medicine 8
Replace Abigail Zabron with:
Abigail Zabron United Kingdom
Patrícia Rodrigues Spain
Qiuye Kou China
Yangfan Su China
Nam Phuong Tran United States
Weimin Wang China
Jianbin Zhang China
Vijayalakshmi Ramshankar India
Emma Turtle United Kingdom
Zhengru Liu China
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Citations per field
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Abigail Zabron · 1×
Citations per year

Countries citing papers authored by Can Yao

Since Specialization
Citations

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

Fields of papers citing papers by Can Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can Yao, 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 Yao Line = papers co-authored together Can Yao 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 201848
2 202135
3 201432
4 202419
5 202118
6 202314
7 202014
8 202312
9 202012
10 20199
11 20189
12 20108
13 20227
14 20217
15 20186
16 20216
17 20255
18 20014
19 20083
20 20233

About Can Yao

Can Yao is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Cancer Research and Surgery, having authored 25 papers that have together received 274 indexed citations. Recurring topics across this work include 2D Materials and Applications (3 papers), MXene and MAX Phase Materials (3 papers), Cancer-related molecular mechanisms research (3 papers), Graphene research and applications (2 papers), Natural product bioactivities and synthesis (2 papers), Sepsis Diagnosis and Treatment (2 papers), Bone Metabolism and Diseases (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Cancer Research (50 citations), Family Practice (5 citations), Pharmacology (22 citations), Nephrology (13 citations) and Critical Care and Intensive Care Medicine (8 citations). Can Yao has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Hui Zeng, Jun Zhao, Fei Shi, Binbin Li, Hai‐Ning Liu, Taotao Liu, Xizhong Shen, Yujen Tseng, Ling Dong and Sufang Liu. Their work appears in journals such as BioMed Research International, Physical Chemistry Chemical Physics, Biochemical and Biophysical Research Communications, EFORT Open Reviews and Scientific Reports.

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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