Victoria Luchenko

573 citations
13 papers · 483 indexed · h-index 10

Impact in

  • Dermatology top 10%
    • Cutaneous lymphoproliferative disorders research
    • Peptidase Inhibition and Analysis

Papers in

    • Peptidase Inhibition and Analysis 5
    • Histone Deacetylase Inhibitors Research 10
    • Protein Degradation and Inhibitors 4
    • Ubiquitin and proteasome pathways 3
    • Signaling Pathways in Disease 1

Victoria Luchenko

13 papers receiving 477 citations

Peers

Victoria Luchenko
Comparison fields: 5 of 61
  • Dermatology 52
  • Oncology 153
  • Molecular Biology 372
  • Pathology and Forensic Medicine 62
  • Immunology 55
Replace Paul Kwon with:
Paul Kwon United States
Kerrin Hansen Germany
Laura Di Magno Italy
Leslie H. Brail United States
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Victoria Luchenko relative to Paul Kwon United States Paul Kwon's profile →
Citations per field
00.5×
Paul Kwon · 1×
Citations per year

Countries citing papers authored by Victoria Luchenko

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Luchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201612
2 201435
3 201357
4 201370
5 201238
6 20121
7 201141
8 20116
9 2011111
10 200964
11
Pharmacokinetic and biomarker analysis in a phase II trial of the HDAC inhibitor romidepsin, FK228
20081
12 200823
13 200824

About Victoria Luchenko

Victoria Luchenko is a scholar working on Oncology, Molecular Biology, Neurology, Dermatology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (10 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Neuroscience and Neuropharmacology Research (2 papers), interferon and immune responses (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Dermatology (52 citations), Oncology (153 citations), Molecular Biology (372 citations), Pathology and Forensic Medicine (62 citations) and Immunology (55 citations). Victoria Luchenko has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Susan E. Bates, Robert W. Robey, Arup R. Chakraborty, Zhirong Zhan, Richard Piekarz, Agnès Basseville, Tito Fojo, Julia Wilkerson, William D. Figg and Robin Frye. Their work appears in journals such as Clinical Cancer Research, Neuropharmacology, Molecular Oncology, Cell Cycle and British Journal of Haematology.

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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