Hung Do

1.4k citations
24 papers · 1.1k · h-index 12

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Lysosomal Storage Disorders Research

Papers in

Hung Do

22 papers receiving 1.1k citations

Peers

Hung Do
Comparison fields: 5 of 86
  • Cell Biology 250
  • Physiology 298
  • Molecular Biology 689
  • Physiology 45
  • Hematology 97
Replace Laura E. Sanman with:
Laura E. Sanman United States
Daniel Rajotte Canada
Laurence Covassin United States
Daniela Hoeller Germany
Jodi D. Bradley United States
Vigdis Sørensen Norway
Aikaterini Vassilakos Canada
Sabine Wegehingel Germany
Jessica J. McCormack United Kingdom
Hideaki Tada Japan
Hung Do relative to Laura E. Sanman United States Laura E. Sanman's profile →
Citations per field
00.5×2×3×4×4.9×
Laura E. Sanman · 1×
Citations per year

Countries citing papers authored by Hung Do

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hung Do Line = papers co-authored together Hung Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996213
2 1997207
3 2006183
4 1999168
5 200880
6 200074
7 200645
8 200238
9 201129
10 201725
11 201714
12 199913
13 20248
14 20247
15 20246
16 20155
17 20225
18 20084
19 20244
20 20242

About Hung Do

Hung Do is a scholar working on Physiology, Rheumatology, Molecular Biology, Cancer Research and Cell Biology, having authored 24 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), Glycogen Storage Diseases and Myoclonus (4 papers), RNA Interference and Gene Delivery (3 papers), Cellular transport and secretion (3 papers), RNA and protein synthesis mechanisms (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Cell Biology (250 citations), Physiology (298 citations), Molecular Biology (689 citations), Physiology (45 citations) and Hematology (97 citations). Hung Do has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Arthur E. Johnson, Jialing Lin, Shuren Liao, David William Andrews, Stuart A. Kornfeld, Edmund K. Waller, John F. Healey, Pete Lollar, Stephen Chung and Richard Steet. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Biological Chemistry, Cell, Neuro-Oncology and Neuromuscular Disorders.

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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