Hung Do
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 3
- Physiology 10
- Lysosomal Storage Disorders Research 10
- Co-authors
- Arthur E. Johnson (5 shared papers)Jialing Lin (2 shared papers)Shuren Liao (2 shared papers)David W. Andrews (3 shared papers)Stuart Kornfeld (3 shared papers)John F. Healey (1 shared paper)Pete Lollar (1 shared paper)Edmund K. Waller (1 shared paper)
- Journals
- Molecular Genetics and Metabolism (4 papers)Journal of Biological Chemistry (3 papers)Cell (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Archives of Medical Research (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Hung Do
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cell Biology 255
- Physiology 291
- Molecular Biology 704
- Physiology 42
- Hematology 95
Countries citing papers authored by Hung Do
This map shows the geographic impact of Hung Do'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 Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Do more than expected).
Fields of papers citing papers by Hung Do
This network shows the impact of papers produced by Hung Do. 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 Do. The network helps show where Hung Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Do, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 215 | |
| 2 | 1997 | 210 | |
| 3 | 2006 | 186 | |
| 4 | 1999 | 166 | |
| 5 | 2000 | 77 | |
| 6 | 2008 | 76 | |
| 7 | 2006 | 44 | |
| 8 | 2002 | 38 | |
| 9 | 2011 | 29 | |
| 10 | 2017 | 25 | |
| 11 | 2017 | 14 | |
| 12 | 1999 | 13 | |
| 13 | 2024 | 7 | |
| 14 | 1995 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2008 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Hung Do
Hung Do is a scholar working on Molecular Biology, Physiology, Rheumatology, Organic Chemistry and Cell Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (10 papers), Glycosylation and Glycoproteins Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Cellular transport and secretion (3 papers), RNA Interference and Gene Delivery (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cell Biology (255 citations), Physiology (291 citations), Molecular Biology (704 citations), Physiology (42 citations) and Hematology (95 citations). Hung Do has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Arthur E. Johnson, Jialing Lin, Shuren Liao, David W. Andrews, Stuart Kornfeld, John F. Healey, Pete Lollar, Edmund K. Waller, Stephen Chung and Richard Steet. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Biological Chemistry, Cell, Cold Spring Harbor Symposia on Quantitative Biology and Archives of Medical Research.
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.