Phạm Hùng Vân

20 papers receiving 607 citations

Peers

Phạm Hùng Vân
Comparison fields: 5 of 83
  • Applied Microbiology and Biotechnology 27
  • Endocrinology 66
  • Molecular Medicine 58
  • Food Science 208
  • Biotechnology 53
Replace Hesamaddin Shirzad‐Aski with:
Hesamaddin Shirzad‐Aski Iran
Anja Müller Germany
Pipat Piewngam United States
Mohammad Kazem Sharifi Yazdi Iran
Brandy A. Burgess United States
Javid Iqbal Dasti Pakistan
Katarí­na Oravcová United Kingdom
Philipp Hammer Germany
Musaad Aldubaib Saudi Arabia
Phạm Hùng Vân relative to Hesamaddin Shirzad‐Aski Iran Hesamaddin Shirzad‐Aski's profile →
Citations per field
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Hesamaddin Shirzad‐Aski · 1×
Citations per year

Countries citing papers authored by Phạm Hùng Vân

Since Specialization
Citations

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

Fields of papers citing papers by Phạm Hùng Vân

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phạm Hùng Vân. 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 Phạm Hùng Vân. The network helps show where Phạm Hùng Vân may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000204
2 2001137
3
Antimicrobial susceptibility of Shigella isolates in eight Asian countries, 2001-2004.
200851
4 201233
5 201927
6 201625
7 200824
8 200424
9 201722
10 201220
11 201618
12 202012
13 201710
14 200110
15 20099
16 20227
17 20144
18 20182
19 20032
20 20241

About Phạm Hùng Vân

Phạm Hùng Vân is a scholar working on Epidemiology, Molecular Biology, Molecular Medicine, Genetics and Food Science, having authored 22 papers that have together received 642 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (5 papers), Antibiotic Resistance in Bacteria (2 papers), Probiotics and Fermented Foods (2 papers), Forensic and Genetic Research (1 paper), Animal Genetics and Reproduction (1 paper), Metabolism and Genetic Disorders (1 paper), Vibrio bacteria research studies (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Endocrinology (66 citations), Molecular Medicine (58 citations), Food Science (208 citations) and Biotechnology (53 citations). Phạm Hùng Vân has collaborated with scholars based in Vietnam, South Korea and Philippines. Frequent co-authors include Simon M. Cutting, Ezio Ricca, Loredana Baccigalupi, Andrei Smertenko, Sergio Ammendola, Ngô Thị Hoa, Le H. Duc, Rachele Isticato, Jennifer Perera and Celia Carlos. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Applied and Environmental Microbiology, Diagnostic Microbiology and Infectious Disease, Infection and Reactive and Functional Polymers.

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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