Yin‐Ying Wang

697 citations
23 papers · 425 indexed · h-index 12
Topics
Computational Drug Discovery Methods (7 papers)Bioinformatics and Genomic Networks (7 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Yin‐Ying Wang

21 papers receiving 421 citations

Peers

Yin‐Ying Wang
Comparison fields: 5 of 89
  • Molecular Biology 272
  • Computational Theory and Mathematics 110
  • Cancer Research 72
  • Biomedical Engineering 56
  • Surgery 36
Replace Åsmund Flobak with:
Åsmund Flobak Norway
Jim Bosley United States
Souhrid Mukherjee United States
Frank Tobin United States
Mohammad Akbarzadeh Iran
Tijmen H. Booij Netherlands
Zongzheng Chen China
Jyotika Rajawat India
Jean‐Matthieu Prot France
Richard DeBiasio United States
Yin‐Ying Wang relative to Åsmund Flobak Norway Åsmund Flobak's profile →
Citations per field
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Åsmund Flobak · 1×
Citations per year

Countries citing papers authored by Yin‐Ying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yin‐Ying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin‐Ying Wang. 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 Yin‐Ying Wang. The network helps show where Yin‐Ying Wang may publish in the future.

Co-authorship network of co-authors of Yin‐Ying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yin‐Ying Wang. A scholar is included among the top collaborators of Yin‐Ying Wang 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 Yin‐Ying Wang. Yin‐Ying Wang 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 4
3 14
4 5
5 7
6 11
7 63
8 57
9 23
10 8
11 9
12 72
13 17
14 20
15 7
16 21
17
The Canonical Correlation Analysis between the Fitness of Organizational Condition and Integration Possibility: The Evidence of Configurational Approach
1
18 2
19 26
20 30

About Yin‐Ying Wang

Yin‐Ying Wang is a scholar working on Computational Theory and Mathematics, Cancer Research and Pharmacology, having authored 23 papers that have together received 425 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (7 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Cancer Research (72 citations) and Biophysics (24 citations). Yin‐Ying Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhongming Zhao, Peilin Jia, Xing‐Ming Zhao, Yulin Dai, Xing-Ming Zhao, Guangsheng Pei, Ruifeng Hu, Lukas M. Simon, Jose C. Nacher and Bin Zhou. Their work appears in journals such as Nucleic Acids Research, Nature Communications 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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