Nataly Tarasenko

434 citations
22 papers · 395 · h-index 13

Impact in

Papers in

    • Peptidase Inhibition and Analysis 4
    • Histone Deacetylase Inhibitors Research 14
    • Protein Degradation and Inhibitors 4
    • Epigenetics and DNA Methylation 3
    • Signaling Pathways in Disease 2

Nataly Tarasenko

22 papers receiving 389 citations

Peers

Nataly Tarasenko
Comparison fields: 5 of 71
  • Geriatrics and Gerontology 12
  • Molecular Biology 251
  • Oncology 76
  • Cardiology and Cardiovascular Medicine 61
  • Physiology 12
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Araceli Lérida‐Viso Spain
Nadia Bertola Italy
Eunkyung A. Kauh United States
Juhua Dan China
Shuya Huang China
Thea van den Bosch Netherlands
Emanuela Pessolano Italy
Shiwei Deng Germany
Mohammad Ali Sheikh Beig Goharrizi Iran
Carita Lannér Canada
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Citations per year

Countries citing papers authored by Nataly Tarasenko

Since Specialization
Citations

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

Fields of papers citing papers by Nataly Tarasenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200743
2 200537
3 201037
4 200636
5 200835
6 200734
7 201222
8 200721
9 201419
10 201217
11 201716
12 201714
13 200914
14 201612
15 201912
16 201710
17 20227
18 20164
19 20222
20
Changes in the M1 of hybrid gladioli caused by gamma irradiation.
19801

About Nataly Tarasenko

Nataly Tarasenko is a scholar working on Oncology, Molecular Biology, Geriatrics and Gerontology, Modeling and Simulation and Dermatology, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (14 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Epigenetics and DNA Methylation (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), 3D Printing in Biomedical Research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Geriatrics and Gerontology (12 citations), Molecular Biology (251 citations), Oncology (76 citations), Cardiology and Cardiovascular Medicine (61 citations) and Physiology (12 citations). Nataly Tarasenko has collaborated with scholars based in Israel, Australia and United States. Frequent co-authors include Ada Rephaeli, Abraham Nudelman, Suzanne M. Cutts, Don R. Phillips, Gania Kessler‐Icekson, Michal Entin‐Meer, Aida Inbal, Zvi Malik, Daphne Adele Haas-Kogan and Pnina Boer. Their work appears in journals such as Investigational New Drugs, Journal of Visualized Experiments, Journal of Medicinal Chemistry, PLoS ONE and Cancer Letters.

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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