Elina Levina

621 total citations
12 papers, 503 citations indexed

About

Elina Levina is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Elina Levina has authored 12 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Elina Levina's work include Hedgehog Signaling Pathway Studies (4 papers), Prostate Cancer Treatment and Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Elina Levina is often cited by papers focused on Hedgehog Signaling Pathway Studies (4 papers), Prostate Cancer Treatment and Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Elina Levina collaborates with scholars based in United States, Russia and Israel. Elina Levina's co-authors include Michael Shtutman, Avri Ben‐Ze'ev, Moshe Oren, Patrice Ohouo, Mirza S. Baig, Igor B. Roninson, Ralph Buttyan, Mengqian Chen, Matthew Tanner and Jury M. Vasiliev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Elina Levina

12 papers receiving 501 citations

Peers

Elina Levina
Comparison fields: 5 of 72
  • Molecular Biology 359
  • Oncology 149
  • Cell Biology 102
  • Pulmonary and Respiratory Medicine 88
  • Cancer Research 42
Replace Anke Hartung with:
Anke Hartung Germany
Aive Åhgren Sweden
Brian Raftrey United States
Alla Aharonov Israel
Cathy Pichol-Thievend Australia
Nicholas C. Kappas United States
Loc T. Nguyen United States
Prem Swaroop Yadav India
Reshma A. Lalai Netherlands
Eleanna Papa Switzerland
Anke Hartung Germany View profile →
Citations per field, relative to Elina Levina
Elina Levina · 1×
Citations per year, relative to Elina Levina
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Countries citing papers authored by Elina Levina

Since Specialization
Citations

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

Fields of papers citing papers by Elina Levina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elina Levina

This figure shows the co-authorship network connecting the top 25 collaborators of Elina Levina. A scholar is included among the top collaborators of Elina Levina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elina Levina. Elina Levina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 8
2 16
3 18
4 44
5 49
6 4
7 61
8 112
9 82
10
PML is a target gene of beta-catenin and plakoglobin, and coactivates beta-catenin-mediated transcription.
48
11 42
12 19

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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