W Zhong

1.3k total citations · 1 hit paper
12 papers, 1.0k citations indexed

About

W Zhong is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, W Zhong has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in W Zhong's work include Viral-associated cancers and disorders (3 papers), Plant Virus Research Studies (3 papers) and Hepatitis C virus research (3 papers). W Zhong is often cited by papers focused on Viral-associated cancers and disorders (3 papers), Plant Virus Research Studies (3 papers) and Hepatitis C virus research (3 papers). W Zhong collaborates with scholars based in United States, Sweden and Italy. W Zhong's co-authors include Rolf Renne, Don Ganem, Roland R. Rueckert, D Ganem, Michael Lagunoff, Debra Anderson, H Wang, Jeffrey Pudney, J Beneke and Brian Herndier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

W Zhong

12 papers receiving 1.0k citations

Hit Papers

Kaposi's sarcoma-associated herpesvirus gene expression i... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers

W Zhong
Comparison fields: 5 of 51
  • Oncology 752
  • Epidemiology 589
  • Infectious Diseases 321
  • Physiology 167
  • Pathology and Forensic Medicine 159
Replace J L Kolman with:
J L Kolman United States
Cathy McQuain United States
T Dambaugh United States
Julie Osborne United Kingdom
Isabel Gallego Spain
Jesse H. Arbuckle United States
Hong-Guang Guo United States
Myriam Scherer Germany
R. F. Pritchett United States
Vasundhara Varthakavi United States
J L Kolman United States View profile →
Citations per field, relative to W Zhong
W Zhong · 1×
Citations per year, relative to W Zhong
W Zhong · 1×

Countries citing papers authored by W Zhong

Since Specialization
Citations

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

Fields of papers citing papers by W Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of W Zhong. A scholar is included among the top collaborators of W Zhong 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 W Zhong. W Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 6
3 7
4 3
5 4
6
Mechanistic characterization of GS-9190, a novel non-nucleoside inhibitor of HCV NS5B polymerase with potent antiviral activity and a unique mechanism of action
12
7 77
8
Kaposi's sarcoma-associated herpesvirus gene expression in endothelial (spindle) tumor cells breakdown →
532
9 195
10 49
11 110
12 50

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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2026