Zhenghui Wu

941 total citations
20 papers, 732 citations indexed

About

Zhenghui Wu is a scholar working on Hepatology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Zhenghui Wu has authored 20 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 7 papers in Infectious Diseases and 7 papers in Animal Science and Zoology. Recurrent topics in Zhenghui Wu's work include Hepatitis C virus research (8 papers), Animal Virus Infections Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Zhenghui Wu is often cited by papers focused on Hepatitis C virus research (8 papers), Animal Virus Infections Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Zhenghui Wu collaborates with scholars based in China and United Kingdom. Zhenghui Wu's co-authors include Linbai Ye, Lingbao Kong, Yinglong She, Hong Zheng, Xiaonan Fang, Baozong Li, Bo Gao, Ye Li, Ye Li and Yingchun Zeng and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and American Journal of Physiology-Gastrointestinal and Liver Physiology.

In The Last Decade

Zhenghui Wu

19 papers receiving 715 citations

Peers

Zhenghui Wu
Comparison fields: 5 of 86
  • Infectious Diseases 301
  • Epidemiology 213
  • Molecular Biology 185
  • Animal Science and Zoology 143
  • Cell Biology 139
Replace J M Smolec with:
J M Smolec United States
Yinglong She China
Chi Wai Yip Hong Kong
Rebecca Parr United States
Hongjuan You China
Timothy H. P. Tan Singapore
Shau‐Feng Chang Germany
Chaka C. Impraim United States
Guaniri Mateu United States
Nadja Karl Germany
J M Smolec United States View profile →
Citations per field, relative to Zhenghui Wu
Zhenghui Wu · 1×
Citations per year, relative to Zhenghui Wu
Zhenghui Wu · 1×

Countries citing papers authored by Zhenghui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenghui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenghui Wu. A scholar is included among the top collaborators of Zhenghui 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 Zhenghui Wu. Zhenghui 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 5
3 22
4 35
5 12
6 3
7 25
8 8
9 78
10 201
11 4
12 1
13 116
14 38
15 12
16 10
17
Nucleocapsid amino acids 211 to 254, in particular, tetrad glutamines, are essential for the interaction between the nucleocapsid and membrane proteins of SARS-associated coronavirus.
9
18 24
19
Hepatitis C virus non-structural protein NS4B can modulate an unfolded protein response.
84
20 45

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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