Canrong Wu

4.0k citations
28 papers · 2.5k indexed · 1 hit paper · h-index 17
Topics
Cancer, Hypoxia, and Metabolism (6 papers)Receptor Mechanisms and Signaling (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)

In The Last Decade

Canrong Wu

26 papers receiving 2.5k citations

Hit Papers

Analysis of therapeutic targets for SARS-CoV-2 and discov...2020202620222024202050010001.5k

Peers

Canrong Wu
Comparison fields: 5 of 122
  • Infectious Diseases 1.2k
  • Molecular Biology 932
  • Computational Theory and Mathematics 732
  • Pharmacology 207
  • Complementary and alternative medicine 202
Replace Mengzhu Zheng with:
Mengzhu Zheng China
Yueying Yang China
Yang Xu China
Gulam Mustafa Hasan India
Rahul Singh India
Vijay Kumar Bhardwaj India
Seungtaek Kim South Korea
Abdo A. Elfiky Egypt
Leike Zhang China
Abhinav Grover India
Canrong Wu relative to Mengzhu Zheng China Mengzhu Zheng's profile →
Citations per field
00.5×1.5×
Mengzhu Zheng · 1×
Citations per year

Countries citing papers authored by Canrong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Canrong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canrong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Canrong Wu. A scholar is included among the top collaborators of Canrong Wu 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 Canrong Wu. Canrong Wu 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 0
3 2
4 2
5 7
6 5
7 3
8 18
9 12
10 77
11 145
12 29
13 58
14 141
15 23
16
Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methodsbreakdown →
1653
17 72
18 26
19 19
20 55

About Canrong Wu

Canrong Wu is a scholar working on Cancer Research, Molecular Biology and Pharmacology, having authored 28 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Receptor Mechanisms and Signaling (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Computational Theory and Mathematics (732 citations) and Complementary and alternative medicine (202 citations). Canrong Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hua Li, Lixia Chen, Mengzhu Zheng, Yueying Yang, Yang Xu, Yali Wang, Xingzhou Li, Yang Liu, Qiqi Wang and Wu Zhong. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature 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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