Jenny Vu

546 citations
5 papers · 450 · h-index 5

Impact in

    • Cutaneous lymphoproliferative disorders research
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Ubiquitin and proteasome pathways 1
    • Phytochemical compounds biological activities 1
    • Cutaneous lymphoproliferative disorders research 2

Jenny Vu

5 papers receiving 437 citations

Peers

Jenny Vu
Comparison fields: 5 of 55
  • Dermatology 67
  • Molecular Biology 333
  • Urology 24
  • Oncology 102
  • Pathology and Forensic Medicine 37
Replace Cora Bucana with:
Cora Bucana United States
C. Gui United States
Corinna Kosnopfel Germany
Loren Lasko United States
Javier Avila‐Cariño Sweden
Janice M. Mehnert United States
Shaoli Lu China
Masaki Okafuji Japan
Pravina Fernandez United States
Tomoko Iguchi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jenny Vu

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jenny 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 Jenny Vu Line = papers co-authored together Jenny Vu links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2007299
2 200751
3
Update on the treatment of cutaneous T-cell lymphoma (CTCL): Focus on vorinostat.
200746
4 200939
5 200715

About Jenny Vu

Jenny Vu is a scholar working on Molecular Biology, Dermatology, Immunology, Infectious Diseases and Pathology and Forensic Medicine, having authored 5 papers that have together received 450 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), T-cell and Retrovirus Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Hair Growth and Disorders (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Tumors and Oncological Cases (1 paper) and Phytochemical compounds biological activities (1 paper). The work is most often cited by research in Dermatology (67 citations), Molecular Biology (333 citations), Urology (24 citations), Oncology (102 citations) and Pathology and Forensic Medicine (37 citations). Jenny Vu has collaborated with scholars based in United States. Frequent co-authors include Madeleine Duvic, Roland L. Bassett, Rakhshandra Talpur, Victor J. Stevens, Stephen K. Tyring, Víctor G. Prieto and Peter L. Rady. Their work appears in journals such as Expert Opinion on Investigational Drugs, Drugs of today, American Journal of Clinical Dermatology, Journal of the American Academy of Dermatology and PubMed.

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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