Jenny Vu
Impact in
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research
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- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Protein Degradation and Inhibitors 1
- Retinoids in leukemia and cellular processes 1
- Phytochemical compounds biological activities 1
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- Cutaneous lymphoproliferative disorders research 2
- Co-authors
- Madeleine Duvic (5 shared papers)Rakhshandra Talpur (1 shared paper)Roland L. Bassett (1 shared paper)Victor J. Stevens (1 shared paper)Peter L. Rady (1 shared paper)Stephen K. Tyring (1 shared paper)Vikram Singh (1 shared paper)Víctor G. Prieto (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (1 paper)Expert Opinion on Investigational Drugs (1 paper)American Journal of Clinical Dermatology (1 paper)Drugs of today (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Jenny Vu
5 papers receiving 416 citations
Peers
Comparison fields: 5 of 57
- Dermatology 65
- Molecular Biology 330
- Oncology 114
- Urology 24
- Pathology and Forensic Medicine 41
Countries citing papers authored by Jenny Vu
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
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 8 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 282 | |
| 2 | 2007 | 50 | |
| 3 | Update on the treatment of cutaneous T-cell lymphoma (CTCL): Focus on vorinostat. | 2007 | 43 |
| 4 | 2009 | 35 | |
| 5 | 2007 | 13 |
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 423 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), NF-κB Signaling Pathways (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Protein Degradation and Inhibitors (1 paper), Retinoids in leukemia and cellular processes (1 paper), Parvovirus B19 Infection Studies (1 paper) and Phytochemical compounds biological activities (1 paper). The work is most often cited by research in Dermatology (65 citations), Molecular Biology (330 citations), Oncology (114 citations), Urology (24 citations) and Pathology and Forensic Medicine (41 citations). Jenny Vu has collaborated with scholars based in United States. Frequent co-authors include Madeleine Duvic, Rakhshandra Talpur, Roland L. Bassett, Victor J. Stevens, Peter L. Rady, Stephen K. Tyring, Vikram Singh and Víctor G. Prieto. Their work appears in journals such as Journal of the American Academy of Dermatology, Expert Opinion on Investigational Drugs, American Journal of Clinical Dermatology, Drugs of today 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.