Q. May Wang

582 citations
14 papers · 481 indexed · h-index 11

Impact in

Papers in

    • Hepatitis C virus research 7
    • Hepatitis B Virus Studies 4
    • Respiratory viral infections research 2

Q. May Wang

14 papers receiving 465 citations

Peers

Q. May Wang
Comparison fields: 5 of 52
  • Hepatology 202
  • Virology 44
  • Infectious Diseases 133
  • Epidemiology 153
  • Cardiology and Cardiovascular Medicine 90
Replace Marcy E. Armstrong with:
Marcy E. Armstrong United States
Frederick Lahser United States
Vicky C. H. Lai United States
Navaneethan Palanisamy Sweden
Golnaz Bahramali Iran
Wan Jin Hong Singapore
Xue Yao China
Bunpote Siridechadilok Thailand
Sandra Sparacio Germany
Janice D. Pata United States
Q. May Wang relative to Marcy E. Armstrong United States Marcy E. Armstrong's profile →
Citations per field
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Marcy E. Armstrong · 1×
Citations per year

Countries citing papers authored by Q. May Wang

Since Specialization
Citations

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

Fields of papers citing papers by Q. May Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Q. May Wang. 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 Q. May Wang. The network helps show where Q. May Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Q. May Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Q. May Wang Line = papers co-authored together Q. May Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20074
2 200312
3 200338
4 200236
5 200210
6 2002116
7 200117
8 200163
9 200120
10 200011
11 2000112
12 19995
13 19989
14 199828

About Q. May Wang

Q. May Wang is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 481 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Viral Infections and Immunology Research (4 papers), Hepatitis B Virus Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Respiratory viral infections research (2 papers), Biochemical and Molecular Research (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hepatology (202 citations), Virology (44 citations), Infectious Diseases (133 citations), Epidemiology (153 citations) and Cardiology and Cardiovascular Medicine (90 citations). Q. May Wang has collaborated with scholars based in United States and China. Frequent co-authors include Robert B. Johnson, Beverly A. Heinz, C. Cheng Kao, Allen D. Kline, Joseph M. Colacino, Kirk A. Staschke, Faming Zhang, Robert B. Peery, Paul L. Skatrud and Karla Kirkegaard. Their work appears in journals such as Journal of Virology, Journal of Bacteriology, Journal of Biological Chemistry, Eye and Antimicrobial Agents and Chemotherapy.

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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