Canrong Wu

4.0k total citations · 1 hit paper
28 papers, 2.5k citations indexed

About

Canrong Wu is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Canrong Wu has authored 28 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Infectious Diseases. Recurrent topics in Canrong Wu's work include Cancer, Hypoxia, and Metabolism (6 papers), Receptor Mechanisms and Signaling (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Canrong Wu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Receptor Mechanisms and Signaling (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Canrong Wu collaborates with scholars based in China, United States and Netherlands. Canrong Wu's co-authors include Hua Li, Lixia Chen, Mengzhu Zheng, Yueying Yang, Yang Xu, Yali Wang, Xingzhou Li, Yang Liu, Qiqi Wang and Wu Zhong and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Canrong Wu

26 papers receiving 2.5k citations

Hit Papers

Analysis of therapeutic targets for SARS-CoV-2 and discov... 2020 2026 2022 2024 2020 500 1000 1.5k

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
Seungtaek Kim South Korea
Rahul Singh India
Vijay Kumar Bhardwaj India
Abdo A. Elfiky Egypt
Yi Ding China
Abhinav Grover India
Mengzhu Zheng China View profile →
Citations per field, relative to Canrong Wu
Canrong Wu · 1×
Citations per year, relative to Canrong Wu
Canrong Wu · 1×

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
# Work Indexed 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 methods breakdown →
1653
17 72
18 26
19 19
20 55

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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