Cuong Vuong

47 papers receiving 5.6k citations

Peers

Cuong Vuong
Comparison fields: 5 of 145
  • Microbiology 1.1k
  • Infectious Diseases 2.5k
  • Periodontics 356
  • Molecular Medicine 347
  • Endocrinology 316
Replace Gordon Y. C. Cheung with:
Gordon Y. C. Cheung United States
James P. O’Gara Ireland
Knut Ohlsen Germany
Christopher Weidenmaier Germany
Timothy J. Foster Ireland
Johannes K.‐M. Knobloch Germany
Wilma Ziebuhr Germany
Di Qu China
Jean C. Lee United States
Giorgio Scalise Italy
Cuong Vuong relative to Gordon Y. C. Cheung United States Gordon Y. C. Cheung's profile →
Citations per field
00.5×1.5×2.0×
Gordon Y. C. Cheung · 1×
Citations per year

Countries citing papers authored by Cuong Vuong

Since Specialization
Citations

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

Fields of papers citing papers by Cuong Vuong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cuong Vuong, 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 Cuong Vuong Line = papers co-authored together Cuong Vuong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002579
2 2004522
3 2004490
4 2000417
5 2006310
6 2003281
7 2000214
8 2005199
9 2004188
10 2009174
11 2005173
12 2005166
13 1999159
14 2009135
15 1997132
16 2013129
17 2004128
18 2000113
19 2005103
20 2015103

About Cuong Vuong

Cuong Vuong is a scholar working on Infectious Diseases, Microbiology, Molecular Biology, Molecular Medicine and Epidemiology, having authored 47 papers that have together received 5.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (23 papers), Antimicrobial Resistance in Staphylococcus (22 papers), Antimicrobial Peptides and Activities (12 papers), Biochemical and Structural Characterization (11 papers), Urinary Tract Infections Management (7 papers), Antibiotic Resistance in Bacteria (5 papers), Antimicrobial agents and applications (3 papers) and Oral microbiology and periodontitis research (3 papers). The work is most often cited by research in Microbiology (1.1k citations), Infectious Diseases (2.5k citations), Periodontics (356 citations), Molecular Medicine (347 citations) and Endocrinology (316 citations). Cuong Vuong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael J. Otto, Elizabeth R. Fischer, Jovanka M. Voyich, Frank R. DeLeo, Yufeng Yao, Stanislava Kocianova, Friedrich Götz, Henri Saenz, Friedrich Götz and Kok‐Fai Kong. Their work appears in journals such as The Journal of Infectious Diseases, Infection and Immunity, Antimicrobial Resistance and Infection Control, Cellular Microbiology and Journal of Antimicrobial 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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