Hung V. Le
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- RNA and protein synthesis mechanisms
Papers in
-
- Glycosylation and Glycoproteins Research 3
-
- Semiconductor materials and devices 6
- Advancements in Semiconductor Devices and Circuit Design 4
- Co-authors
- Patricia C Weber (5 shared papers)Nanhua Yao (3 shared papers)Zhi Hong (2 shared papers)Ann D. Kwong (2 shared papers)Thomas Hesson (2 shared papers)Michael Cable (1 shared paper)Lata Ramanathan (6 shared papers)Thierry Fischmann (2 shared papers)
- Journals
- Biochemistry (7 papers)Animals (2 papers)Archives of Biochemistry and Biophysics (2 papers)Protein Expression and Purification (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- United StatesVietnamAustralia
In The Last Decade
Hung V. Le
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Hepatology 305
- Molecular Biology 735
- Virology 42
- Infectious Diseases 135
- Epidemiology 219
Countries citing papers authored by Hung V. Le
This map shows the geographic impact of Hung V. Le'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 Hung V. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung V. Le more than expected).
Fields of papers citing papers by Hung V. Le
This network shows the impact of papers produced by Hung V. Le. 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 Hung V. Le. The network helps show where Hung V. Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung V. Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 383 | |
| 2 | 2009 | 146 | |
| 3 | 2011 | 117 | |
| 4 | 2010 | 99 | |
| 5 | 2010 | 80 | |
| 6 | 1997 | 71 | |
| 7 | 2003 | 66 | |
| 8 | 1999 | 63 | |
| 9 | 1987 | 61 | |
| 10 | 1998 | 59 | |
| 11 | 2020 | 49 | |
| 12 | 2008 | 48 | |
| 13 | 1988 | 45 | |
| 14 | 1998 | 38 | |
| 15 | 2015 | 36 | |
| 16 | 2010 | 33 | |
| 17 | 1999 | 26 | |
| 18 | 2010 | 26 | |
| 19 | 2020 | 21 | |
| 20 | 2009 | 19 |
About Hung V. Le
Hung V. Le is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Agronomy and Crop Science and Cell Biology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (6 papers), Semiconductor materials and devices (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Hepatitis C virus research (4 papers), Genetic and phenotypic traits in livestock (4 papers), Computational Drug Discovery Methods (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Hepatology (305 citations), Molecular Biology (735 citations), Virology (42 citations), Infectious Diseases (135 citations) and Epidemiology (219 citations). Hung V. Le has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Patricia C Weber, Nanhua Yao, Zhi Hong, Ann D. Kwong, Thomas Hesson, Michael Cable, Lata Ramanathan, Thierry Fischmann, Vincent Madison and Paul Reichert. Their work appears in journals such as Biochemistry, Animals, Archives of Biochemistry and Biophysics, Protein Expression and Purification and BMC Infectious Diseases.
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.