Hang Thi Vu

419 citations
9 papers · 184 · h-index 7

Impact in

    • Microtubule and mitosis dynamics
    • Ubiquitin and proteasome pathways
    • 14-3-3 protein interactions
    • Epigenetics and DNA Methylation
    • Signaling Pathways in Disease
    • Mitochondrial Function and Pathology

Papers in

Hang Thi Vu

9 papers receiving 184 citations

Peers

Hang Thi Vu
Comparison fields: 5 of 64
  • Cell Biology 41
  • Molecular Biology 101
  • Aging 2
  • Oncology 24
  • Geriatrics and Gerontology 3
Replace David Yanishevski with:
David Yanishevski United States
Sabrina Buettner Austria
Indira Plá Sweden
Jane Jardine France
Amine Saad Canada
Elodie Dumon France
Yoshitaka Kurikawa Japan
Juliana S. Capitanio United States
Akshada Gajbhiye India
Jenny T. C. Ho United Kingdom
Hang Thi Vu relative to David Yanishevski United States David Yanishevski's profile →
Citations per field
00.5×1.5×
David Yanishevski · 1×
Citations per year

Countries citing papers authored by Hang Thi Vu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Thi Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang Thi Vu. 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 Hang Thi Vu. The network helps show where Hang Thi Vu may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201176
2 201727
3 201920
4 202318
5 201817
6 20208
7 20217
8 20186
9 20225

About Hang Thi Vu

Hang Thi Vu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 184 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (1 paper), Biomarkers in Disease Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Marine and fisheries research (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cell Biology (41 citations), Molecular Biology (101 citations), Aging (2 citations), Oncology (24 citations) and Geriatrics and Gerontology (3 citations). Hang Thi Vu has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Koji Ikegami, Mitsutoshi Setou, Ruth Hogue Angeletti, Lloyd D. Fricker, Iryna Berezniuk, Peter J. Lyons, Berta Burd, Hui Xiao, Juan Sironi and Hiroyasu Akatsu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Metabolism, Frontiers in Marine Science, Journal of Biological Chemistry and International Journal of Molecular Sciences.

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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