Shiying Wang

856 citations
31 papers · 713 indexed · h-index 12
Topics
Mesenchymal stem cell research (4 papers)Cancer-related molecular mechanisms research (3 papers)Inflammasome and immune disorders (3 papers)

In The Last Decade

Shiying Wang

31 papers receiving 694 citations

Peers

Shiying Wang
Comparison fields: 5 of 103
  • Molecular Biology 259
  • Physiology 235
  • Epidemiology 129
  • Immunology 72
  • Surgery 65
Replace Bethany J. Holycross with:
Bethany J. Holycross United States
Simone Magagnin Wajner Brazil
Louis J. Kost United States
James R. Mead United Kingdom
Melissa Braga United States
J M Ketelslegers Belgium
Anne M. Karinch United States
Sarada Charugundla United States
Melanie K. Shadoan United States
Xinhua Xiao China
Shiying Wang relative to Bethany J. Holycross United States Bethany J. Holycross's profile →
Citations per field
00.5×4.4×
Bethany J. Holycross · 1×
Citations per year

Countries citing papers authored by Shiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiying Wang. A scholar is included among the top collaborators of Shiying 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 Shiying Wang. Shiying 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 1
2 7
3 1
4 7
5 10
6 2
7 75
8 56
9
miR-424 promotes cardiac ischemia/reperfusion injury by direct targeting of CRISPLD2 and regulating cardiomyocyte pyroptosis.
22
10 9
11 14
12 23
13 9
14 1
15 32
16 5
17 272
18 16
19 10
20 14

About Shiying Wang

Shiying Wang is a scholar working on Genetics, Nephrology and Transplantation, having authored 31 papers that have together received 713 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Physiology (235 citations) and Animal Science and Zoology (61 citations). Shiying Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Serge Raimbault, Sheila Collins, Daniel Sanchı́s, Daniel Ricquier, Ann Petro, Richard S. Surwit, F.W. Edens, Fang Chen, Yali Ma and Baoping Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecules and Toxicology and Applied Pharmacology.

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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