Anna Sablina

5.3k citations
51 papers · 3.6k indexed · 2 hit papers · h-index 29
    • Cancer, Hypoxia, and Metabolism 4
  • Oncology top 2%
    • Cancer-related Molecular Pathways 15
    • Ubiquitin and proteasome pathways 19
    • RNA modifications and cancer 8
    • DNA Repair Mechanisms 6
    • PI3K/AKT/mTOR signaling in cancer 5
    • Epigenetics and DNA Methylation 5
  • Aging top 5%
    • Microtubule and mitosis dynamics 6

Anna Sablina

51 papers receiving 3.6k citations

Hit Papers

The antioxidant function of the p53 tumor suppressor9052004202620112018250500750

Peers

Anna Sablina
Comparison fields: 5 of 112
  • Cancer Research 717
  • Oncology 1.1k
  • Molecular Biology 2.7k
  • Aging 60
  • Cell Biology 462
Replace Julia I-Ju Leu with:
Julia I-Ju Leu United States
Nelofer Syed United Kingdom
Sunmin Lee United States
Kurt Engeland Germany
Tarek Abbas United States
Thomas G. Hofmann Germany
Adly Yacoub United States
Ying Yan China
Yvonne Ottaviano United States
Dimitris Athineos United Kingdom
Anna Sablina relative to Julia I-Ju Leu United States Julia I-Ju Leu's profile →
Citations per field
00.5×1.5×2.5×
Julia I-Ju Leu · 1×
Citations per year

Countries citing papers authored by Anna Sablina

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sablina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20248
3 20246
4 20242
5 20236
6 202113
7 202116
8 202111
9 202022
10 201731
11 201686
12 201499
13 201453
14 2012103
15 201153
16 2010150
17 200981
18 2007166
19 2007104
20 199939

About Anna Sablina

Anna Sablina is a scholar working on Oncology, Cancer Research, Molecular Biology, Cell Biology and Biotechnology, having authored 51 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (19 papers), Cancer-related Molecular Pathways (15 papers), RNA modifications and cancer (8 papers), DNA Repair Mechanisms (6 papers), Microtubule and mitosis dynamics (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Epigenetics and DNA Methylation (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (717 citations), Oncology (1.1k citations), Molecular Biology (2.7k citations), Aging (60 citations) and Cell Biology (462 citations). Anna Sablina has collaborated with scholars based in Belgium, United States and Russia. Frequent co-authors include Peter M. Chumakov, Andrei V. Budanov, Larissa S. Agapova, G. V. Ilyinskaya, J. E. Kravchenko, William C. Hahn, Elena Feinstein, Eugene V. Koonin, Melissa Hector-Greene and Peter Kalev. Their work appears in journals such as Cancer Research, Oncogene, Nature Communications, Oncotarget 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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2026