Pham Hong Nhung
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 10
- Endocrinology top 2%
- Vibrio bacteria research studies 3
- Microbiology top 5%
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- Antibiotic Use and Resistance 3
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts 4
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- Genomics and Phylogenetic Studies 7
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- Antibiotics Pharmacokinetics and Efficacy 5
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- Burkholderia infections and melioidosis 3
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- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Takayuki EzakiMohammad Monir ShahMakiko NodaKiyofumi OhkusuHirotoshi IiharaMasahiro HayashiHiroyuki HataXiao Sun
In The Last Decade
Pham Hong Nhung
24 papers receiving 848 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 179
- Endocrinology 181
- Microbiology 22
- Applied Microbiology and Biotechnology 57
- Pollution 199
Countries citing papers authored by Pham Hong Nhung
This map shows the geographic impact of Pham Hong Nhung'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 Pham Hong Nhung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pham Hong Nhung more than expected).
Fields of papers citing papers by Pham Hong Nhung
This network shows the impact of papers produced by Pham Hong Nhung. 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 Pham Hong Nhung. The network helps show where Pham Hong Nhung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pham Hong Nhung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 0 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 167 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 57 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 17 | |
| 12 | 2015 | 6 | |
| 13 | 2007 | 76 | |
| 14 | 2007 | 11 | |
| 15 | 2007 | 61 | |
| 16 | 2007 | 52 | |
| 17 | 2007 | 24 | |
| 18 | 2007 | 61 | |
| 19 | 2006 | 28 | |
| 20 | 2006 | 64 |
About Pham Hong Nhung
Pham Hong Nhung is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Microbiology, having authored 26 papers that have together received 868 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Genomics and Phylogenetic Studies (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Burkholderia infections and melioidosis (3 papers), Vibrio bacteria research studies (3 papers), Antibiotic Use and Resistance (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (179 citations), Endocrinology (181 citations) and Microbiology (22 citations). Pham Hong Nhung has collaborated with scholars based in Japan, Vietnam and Sweden. Frequent co-authors include Takayuki Ezaki, Mohammad Monir Shah, Makiko Noda, Kiyofumi Ohkusu, Hirotoshi Iihara, Kiyofumi Ohkusu, Masahiro Hayashi, Hiroyuki Hata, Xiao Sun and Yoshiaki Kawamura. Their work appears in journals such as Systematic and Applied Microbiology, International Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Diagnostic Microbiology and Infectious Disease.
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.