Vu Quoc Dat

3.8k citations
25 papers · 296 · h-index 10

Impact in

Papers in

    • Pneumonia and Respiratory Infections 5
    • Sepsis Diagnosis and Treatment 5
    • Fungal Infections and Studies 3
    • HIV/AIDS Research and Interventions 4

Vu Quoc Dat

24 papers receiving 290 citations

Peers

Vu Quoc Dat
Comparison fields: 5 of 60
  • Applied Microbiology and Biotechnology 82
  • Critical Care and Intensive Care Medicine 85
  • Molecular Medicine 74
  • Clinical Biochemistry 53
  • Virology 22
Replace Sisay Bekele with:
Sisay Bekele Ethiopia
Samuel Ponce de León-Rosales Mexico
Theresa Madaline United States
Arash Seifi Iran
Lynn Steele United States
Noah Wald‐Dickler United States
Sean Nguyen United States
Cecilia Bonazzetti Italy
Rachel Freeman United Kingdom
Andrea Parisini Italy
Vu Quoc Dat relative to Sisay Bekele Ethiopia Sisay Bekele's profile →
Citations per field
00.5×1.5×2.4×
Sisay Bekele · 1×
Citations per year

Countries citing papers authored by Vu Quoc Dat

Since Specialization
Citations

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

Fields of papers citing papers by Vu Quoc Dat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vu Quoc Dat. 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 Vu Quoc Dat. The network helps show where Vu Quoc Dat may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 201761
3 201818
4 202015
5 201714
6 201913
7 202112
8 202011
9 201810
10 20229
11 20218
12 20228
13 20217
14 20206
15 20185
16 20244
17 20222
18 20212
19 20242
20 20241

About Vu Quoc Dat

Vu Quoc Dat is a scholar working on Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology, Emergency Medicine and Surgery, having authored 25 papers that have together received 296 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (5 papers), Sepsis Diagnosis and Treatment (5 papers), Antibiotic Use and Resistance (5 papers), Emergency and Acute Care Studies (4 papers), HIV/AIDS Research and Interventions (4 papers), HIV Research and Treatment (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (82 citations), Critical Care and Intensive Care Medicine (85 citations), Molecular Medicine (74 citations), Clinical Biochemistry (53 citations) and Virology (22 citations). Vu Quoc Dat has collaborated with scholars based in Vietnam, United Kingdom and United States. Frequent co-authors include Behzad Nadjm, H. Rogier van Doorn, Heiman Wertheim, Vu Thi Lan Huong, Ana Bonell, Sonia Lewycka, Thanh Le-Viet, Vu Dinh Phu, Long Bao Hoang and Kim Bảo Giang. Their work appears in journals such as PLoS ONE, BMJ Open, BMC Infectious Diseases, Medical Mycology and Western Pacific surveillance response journal.

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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