Nancy Hsiung

443 citations
18 papers · 361 · h-index 12

Impact in

    • Blood Coagulation and Thrombosis Mechanisms
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • DNA and Nucleic Acid Chemistry
    • CRISPR and Genetic Engineering

Papers in

    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 4
    • DNA and Nucleic Acid Chemistry 4
    • RNA Interference and Gene Delivery 3
    • Virus-based gene therapy research 4

Nancy Hsiung

17 papers receiving 307 citations

Peers

Nancy Hsiung
Comparison fields: 5 of 58
  • Hematology 42
  • Molecular Biology 256
  • Genetics 83
  • Biotechnology 25
  • Cancer Research 41
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I.Y. Sun United States
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Marlis Hirschi Switzerland
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Citations per field
00.5×3.2×
T Tone · 1×
Citations per year

Countries citing papers authored by Nancy Hsiung

Since Specialization
Citations

This map shows the geographic impact of Nancy Hsiung'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 Nancy Hsiung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Hsiung more than expected).

Fields of papers citing papers by Nancy Hsiung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Hsiung. 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 Nancy Hsiung. The network helps show where Nancy Hsiung may publish in the future.

Co-authors

The 25 scholars most cited alongside Nancy Hsiung, 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 Nancy Hsiung Line = papers co-authored together Nancy Hsiung links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 198748
2 198747
3 197444
4 198334
5
Efficient production of hepatitis B surface antigen using a bovine papilloma virus-metallothionein vector.
198433
6 198225
7 198722
8 197420
9 198018
10 197918
11 197314
12 198211
13 198011
14 19807
15 20254
16 20253
17
Construction and analysis of bovine papilloma virus vectors for the expression of tissue plasminogen activator in mouse cells
19862
18 20250

About Nancy Hsiung

Nancy Hsiung is a scholar working on Molecular Biology, Genetics, Surgery, Rehabilitation and Ecology, having authored 18 papers that have together received 361 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Virus-based gene therapy research (4 papers), RNA modifications and cancer (4 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Bacteriophages and microbial interactions (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Hematology (42 citations), Molecular Biology (256 citations), Genetics (83 citations), Biotechnology (25 citations) and Cancer Research (41 citations). Nancy Hsiung has collaborated with scholars based in United States and China. Frequent co-authors include Charles R. Cantor, Raju Kucherlapati, Scott A. Reines, Arthur I. Skoultchi, Cha-Mer Wei, Paula S. Henthorn, Oliver Smithies, David J. Livingston, David Lau and Lisa Levinson. Their work appears in journals such as The Journal of Cell Biology, Materials Today Bio, Nucleic Acids Research, Molecular and Cellular Biology and Cell.

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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