Oxana Bereshchenko

2.8k citations
43 papers · 2.1k · h-index 24

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Ubiquitin and proteasome pathways 4
    • Wnt/β-catenin signaling in development and cancer 3
    • RNA Research and Splicing 3
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
    • Immune Response and Inflammation 3

Oxana Bereshchenko

42 papers receiving 2.0k citations

Peers

Oxana Bereshchenko
Comparison fields: 5 of 113
  • Hematology 295
  • Immunology 427
  • Biological Psychiatry 37
  • Molecular Biology 997
  • Geriatrics and Gerontology 46
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Citations per field
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Citations per year

Countries citing papers authored by Oxana Bereshchenko

Since Specialization
Citations

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

Fields of papers citing papers by Oxana Bereshchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002337
2 2018205
3 2008187
4 2009112
5 2022111
6 2003106
7 2014103
8 200990
9 200271
10 201169
11 200767
12 201966
13 200762
14 201953
15 201546
16 201734
17 201834
18 201832
19 201228
20 201326

About Oxana Bereshchenko

Oxana Bereshchenko is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Oncology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Ubiquitin and proteasome pathways (4 papers), T-cell and B-cell Immunology (4 papers), Acute Myeloid Leukemia Research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), RNA Research and Splicing (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Hematology (295 citations), Immunology (427 citations), Biological Psychiatry (37 citations), Molecular Biology (997 citations) and Geriatrics and Gerontology (46 citations). Oxana Bereshchenko has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Carlo Riccardi, Riccardo Dalla‐Favera, Stefano Bruscoli, Wei Gu, Claus Nerlov, Susan Moore, Elke Kurz, Graziella Migliorati, Sten Eirik W. Jacobsen and Michele Biagioli. Their work appears in journals such as Blood, Cancer Cell, Frontiers in Immunology, Cells and Molecular 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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