Wenying Wang

6.7k total citations · 1 hit paper
191 papers, 4.7k citations indexed

About

Wenying Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wenying Wang has authored 191 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 36 papers in Pulmonary and Respiratory Medicine and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wenying Wang's work include Kidney Stones and Urolithiasis Treatments (17 papers), Ion channel regulation and function (13 papers) and Medical Imaging Techniques and Applications (13 papers). Wenying Wang is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (17 papers), Ion channel regulation and function (13 papers) and Medical Imaging Techniques and Applications (13 papers). Wenying Wang collaborates with scholars based in China, United States and New Zealand. Wenying Wang's co-authors include Lan Tan, Jin‐Tai Yu, Meng‐Shan Tan, Xuetao Cao, Yanfeng Wu, Steven J. Harper, David O. Bates, Tao Wan, Xiaohui Huang and Hongliang Fang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Wenying Wang

180 papers receiving 4.6k citations

Hit Papers

Role of pro-inflammatory cytokines released from microgli... 2015 2026 2018 2022 2015 250 500 750 1000

Peers

Wenying Wang
Comparison fields: 5 of 156
  • Molecular Biology 1.9k
  • Physiology 749
  • Neurology 672
  • Cancer Research 646
  • Pulmonary and Respiratory Medicine 534
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Satoshi O. Suzuki Japan View profile →
Citations per field, relative to Wenying Wang
Wenying Wang · 1×
Citations per year, relative to Wenying Wang
Wenying Wang · 1×

Countries citing papers authored by Wenying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenying Wang. A scholar is included among the top collaborators of Wenying 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 Wenying Wang. Wenying 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
# Work Indexed citations
1 0
2 1
3 3
4 7
5 12
6 13
7 16
8 15
9 1
10 8
11 16
12 2
13 13
14 13
15 21
16 10
17 23
18 21
19 1
20 29

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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