Nhung Pham
Impact in
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- HIV Research and Treatment
- Ophthalmology top 10%
- Glaucoma and retinal disorders
Papers in
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- Gas Dynamics and Kinetic Theory 5
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- Microbial Metabolic Engineering and Bioproduction 2
- Protein Degradation and Inhibitors 1
- Co-authors
- María Suárez‐Diez (2 shared papers)Peter J. Schaap (2 shared papers)David Pye (1 shared paper)David V. Schaffer (1 shared paper)Ruben Heck (1 shared paper)Jesse C. J. van Dam (1 shared paper)Jonathan E. Foley (1 shared paper)Adam P. Arkin (1 shared paper)
- Journals
- iScience (1 paper)Journal of Innate Immunity (1 paper)Optometry and Vision Science (1 paper)Communications in Computational Physics (1 paper)Integrative Biology (1 paper)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Nhung Pham
12 papers receiving 124 citations
Peers
Comparison fields: 5 of 47
- Virology 15
- Ophthalmology 27
- Applied Mathematics 17
- Radiology, Nuclear Medicine and Imaging 28
- Molecular Biology 59
Countries citing papers authored by Nhung Pham
This map shows the geographic impact of Nhung Pham'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 Nhung Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nhung Pham more than expected).
Fields of papers citing papers by Nhung Pham
This network shows the impact of papers produced by Nhung Pham. 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 Nhung Pham. The network helps show where Nhung Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Nhung Pham, 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 | 2008 | 29 | |
| 2 | 2019 | 25 | |
| 3 | 2021 | 24 | |
| 4 | 2012 | 23 | |
| 5 | 2013 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2014 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2022 | 0 |
About Nhung Pham
Nhung Pham is a scholar working on Applied Mathematics, Molecular Biology, Computational Mechanics, Nuclear and High Energy Physics and Infectious Diseases, having authored 14 papers that have together received 127 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (5 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Magnetic confinement fusion research (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), HIV Research and Treatment (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Virology (15 citations), Ophthalmology (27 citations), Applied Mathematics (17 citations), Radiology, Nuclear Medicine and Imaging (28 citations) and Molecular Biology (59 citations). Nhung Pham has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include María Suárez‐Diez, Peter J. Schaap, David Pye, David V. Schaffer, Ruben Heck, Jesse C. J. van Dam, Jonathan E. Foley, Adam P. Arkin, Edoardo Saccenti and Siddharth S. Dey. Their work appears in journals such as iScience, Journal of Innate Immunity, Optometry and Vision Science, Communications in Computational Physics and Integrative Biology.
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.