Oksana Nemirovsky

1.3k citations
18 papers · 996 · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Enzyme function and inhibition 5
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Acute Myeloid Leukemia Research 3

Oksana Nemirovsky

18 papers receiving 989 citations

Peers

Oksana Nemirovsky
Comparison fields: 5 of 71
  • Cancer Research 257
  • Oncology 275
  • Molecular Biology 653
  • Hematology 72
  • Immunology 121
Replace Wells S. Brown with:
Wells S. Brown United States
Banibrata Sen United States
Nicolas Floc’h United Kingdom
Mike F. Burbridge France
Bibiana I. Ferreira Spain
Alessio Biagioni Italy
Kristy J. Gotink Netherlands
Duc‐Hiep Bach South Korea
Liling Wan United States
Oksana Nemirovsky relative to Wells S. Brown United States Wells S. Brown's profile →
Citations per field
00.5×1.5×
Wells S. Brown · 1×
Citations per year

Countries citing papers authored by Oksana Nemirovsky

Since Specialization
Citations

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

Fields of papers citing papers by Oksana Nemirovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019168
2 2011131
3 2019126
4 202198
5 202074
6 200874
7 201268
8 201456
9 201346
10 201938
11 201438
12 201326
13 201726
14 201715
15 20254
16 20114
17 20103
18 20211

About Oksana Nemirovsky

Oksana Nemirovsky is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Cell Biology and Organic Chemistry, having authored 18 papers that have together received 996 indexed citations. Recurring topics across this work include Enzyme function and inhibition (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Microtubule and mitosis dynamics (3 papers), Adenosine and Purinergic Signaling (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (257 citations), Oncology (275 citations), Molecular Biology (653 citations), Hematology (72 citations) and Immunology (121 citations). Oksana Nemirovsky has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Shoukat Dedhar, Paul C. McDonald, Shawn C. Chafe, David F. Schaeffer, Daniel J. Renouf, Wells S. Brown, Geetha Venkateswaran, Shannon Awrey, Jordan Gillespie and Sohrab P. Shah. Their work appears in journals such as Oncotarget, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Nature Medicine and Cancer Research.

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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