Hua Wu

3.8k total citations
102 papers, 2.4k citations indexed

About

Hua Wu is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Hua Wu has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 18 papers in Genetics and 17 papers in Infectious Diseases. Recurrent topics in Hua Wu's work include Virus-based gene therapy research (9 papers), Viral Infections and Vectors (8 papers) and Ubiquitin and proteasome pathways (8 papers). Hua Wu is often cited by papers focused on Virus-based gene therapy research (9 papers), Viral Infections and Vectors (8 papers) and Ubiquitin and proteasome pathways (8 papers). Hua Wu collaborates with scholars based in China, United States and Japan. Hua Wu's co-authors include Haojun Chen, Xiaohong Chen, Gang Niu, Hiroaki Matsushita, Poothappillai Kasinathan, Yoshimi Kuroiwa, Eddie J. Sullivan, Jin‐an Jiao, Isao Ishida and James M. Robl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hua Wu

97 papers receiving 2.4k citations

Peers

Hua Wu
Comparison fields: 5 of 130
  • Molecular Biology 1.1k
  • Genetics 528
  • Infectious Diseases 367
  • Oncology 338
  • Immunology 293
Jane Ranchalis United States
Hua Yang China
Shinjiro Hino Japan
Derek W. Cain United States
Jiawei Wang China
Eun Young Song South Korea
Rajesh Raju India
Yuuki Obata Japan
Christina Smith United States
D R Spriggs United States
Jane Ranchalis United States View profile →
Citations per field, relative to Hua Wu
Hua Wu · 1×
Citations per year, relative to Hua Wu
Hua Wu · 1×

Countries citing papers authored by Hua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Wu. A scholar is included among the top collaborators of Hua 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 Hua Wu. Hua 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 21
3 24
4 14
5 16
6
MiR-31 aggravates inflammation and apoptosis in COPD rats via activating the NF-κB signaling pathway
10
7 19
8
A Critical Discourse Analysis of English News Discourse from the Perspective of Faircloughs Threedimensional Model --Based on News Reports of Chinese Anticorruption in The New York Times Official Website
0
9 20
10 9
11 12
12 8
13 17
14
Genetic Characteristic Analysis of Non-structural NS1 and Structural Protein VP2 of FPLV,CPV and MEV
1
15 17
16 20
17
Effect of Echinacea Extract on Proliferation of Peripheral Blood Mononuclear Cells of Cows
0
18 84
19 224
20 8

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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