Ksenya Shchors

4.3k citations
18 papers · 2.0k indexed · h-index 17
    • Cancer, Hypoxia, and Metabolism 2
    • MicroRNA in disease regulation 2
  • Immunology top 5%
  • Oncology top 5%
    • Cancer-related Molecular Pathways 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cell death mechanisms and regulation 2
  • Genetics top 10%
    • Glioma Diagnosis and Treatment 2
    • Microtubule and mitosis dynamics 3
    • Adenosine and Purinergic Signaling 2

Ksenya Shchors

18 papers receiving 1.9k citations

Peers

Ksenya Shchors
Comparison fields: 5 of 107
  • Cancer Research 393
  • Immunology 475
  • Oncology 593
  • Molecular Biology 1.3k
  • Genetics 153
Replace Arturo Sala with:
Arturo Sala United Kingdom
Jean‐Marc Brondello France
Sirith Douma Netherlands
Maurizio Gelati Italy
Christine Tan United States
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Citations per field
00.5×1.6×
Arturo Sala · 1×
Citations per year

Countries citing papers authored by Ksenya Shchors

Since Specialization
Citations

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

Fields of papers citing papers by Ksenya Shchors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202282
2 201937
3 2016100
4 2015149
5 201516
6 201336
7 201246
8 2008340
9 2007390
10 2007103
11 200660
12 200633
13 2006165
14 2005114
15 20044
16 2003188
17 200366
18 200227

About Ksenya Shchors

Ksenya Shchors is a scholar working on Cancer Research, Physiology, Genetics, Oncology and Cell Biology, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (2 papers), Adenosine and Purinergic Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (393 citations), Immunology (475 citations), Oncology (593 citations), Molecular Biology (1.3k citations) and Genetics (153 citations). Ksenya Shchors has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Gérard I. Evan, Lamorna Brown Swigart, Elizabeth R. Lawlor, Andrei L. Gartel, Laura Soucek, Douglas Hanahan, Melissa R. Junttila, Laurent Pouyet, Anthony N. Karnezis and Daniel J. Murphy. Their work appears in journals such as Cancer Cell, Cancer Research, Oncogene, Genes & Development and Nature Medicine.

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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