Vanthida Huang

32 papers receiving 672 citations

Peers

Vanthida Huang
Comparison fields: 5 of 100
  • Applied Microbiology and Biotechnology 73
  • Molecular Medicine 177
  • Clinical Biochemistry 154
  • Infectious Diseases 325
  • Pharmacology 239
Replace Guilherme Henrique Campos Furtado with:
Guilherme Henrique Campos Furtado Brazil
M L van Ogtrop Netherlands
Daisuke Sakanashi Japan
G. Phillips United Kingdom
Luis Eduardo López-Cortés Spain
Jessica K. Ortwine United States
Sara Alosaimy United States
B. Isaksson Sweden
D. J. Flournoy United States
Nienke Bruinsma Netherlands
Vanthida Huang relative to Guilherme Henrique Campos Furtado Brazil Guilherme Henrique Campos Furtado's profile →
Citations per field
00.5×3.7×
Guilherme Henrique Campos Furtado · 1×
Citations per year

Countries citing papers authored by Vanthida Huang

Since Specialization
Citations

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

Fields of papers citing papers by Vanthida Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015130
2 2017101
3 200954
4 200651
5 201743
6 201929
7 201128
8 200427
9 201924
10 202023
11 201722
12 202020
13 202118
14 200616
15 201615
16 200914
17 201513
18 200511
19 20049
20 20198

About Vanthida Huang

Vanthida Huang is a scholar working on Infectious Diseases, Pharmacology, Clinical Biochemistry, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 34 papers that have together received 702 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (19 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Bacterial Identification and Susceptibility Testing (12 papers), Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (7 papers), Bacterial biofilms and quorum sensing (4 papers), Streptococcal Infections and Treatments (4 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (73 citations), Molecular Medicine (177 citations), Clinical Biochemistry (154 citations), Infectious Diseases (325 citations) and Pharmacology (239 citations). Vanthida Huang has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Michael J. Rybak, Kyle C. Molina, Marcus Zervos, Mary Beth Perri, Daniela Sales Alviano, Pamela Hartman, Melvin P. Weinstein, Safia Kuriakose, Madeline King and John E. McGowan. Their work appears in journals such as Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents, Current Infectious Disease Reports and Surgical Infections.

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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