Xing Yao

1.6k citations
38 papers · 554 indexed · h-index 14
Topics
Proteoglycans and glycosaminoglycans research (7 papers)Pluripotent Stem Cells Research (7 papers)Glycosylation and Glycoproteins Research (6 papers)

In The Last Decade

Xing Yao

37 papers receiving 545 citations

Peers

Xing Yao
Comparison fields: 5 of 74
  • Molecular Biology 365
  • Cancer Research 175
  • Surgery 114
  • Oncology 78
  • Epidemiology 59
Replace Maiko Kondo with:
Maiko Kondo Japan
Ping Zhu China
Wei-Chieh Huang Taiwan
Maura Camozzi Italy
Serena Germano Italy
Haikuo Tang China
Elena Federzoni Switzerland
M.A. Witlox Netherlands
Xinshuang Yu China
Claire M. Davies United Kingdom
Xing Yao relative to Maiko Kondo Japan Maiko Kondo's profile →
Citations per field
00.5×1.5×
Maiko Kondo · 1×
Citations per year

Countries citing papers authored by Xing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Yao. A scholar is included among the top collaborators of Xing Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xing Yao. Xing Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 10
4 14
5 22
6 3
7 19
8 7
9 13
10 34
11 4
12 2
13 12
14 2
15 24
16 13
17 4
18
Research on the high efficient methodology of Establishment of 129S1/SvImJ murine embryonic stem cells.
3
19 7
20
Establishment of murine embryonic stem cell line carrying enhanced green fluorescence protein and its differentiation into cardiomyocyte--like cells {\sl in vitro}
1

About Xing Yao

Xing Yao is a scholar working on Cell Biology, Cancer Research and Molecular Biology, having authored 38 papers that have together received 554 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (7 papers), Pluripotent Stem Cells Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Cancer Research (175 citations), Molecular Biology (365 citations) and Cell Biology (47 citations). Xing Yao has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Licheng Dai, Yongliang Lu, Xiang Wang, Huarong Huang, Liangbiao Chen, Wenjuan Zha, Yangchen Liu, Ming Zhang, Ting Ye and Chao Xu. Their work appears in journals such as PLoS ONE, Scientific 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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