Irina Davidovich

23 papers receiving 646 citations

Peers

Irina Davidovich
Comparison fields: 5 of 107
  • Cancer Research 106
  • Structural Biology 11
  • Biomaterials 91
  • Immunology and Allergy 29
  • Molecular Biology 349
Replace Enrique Morales-Ávila with:
Enrique Morales-Ávila Mexico
Nathan D. Donahue United States
Mauro Sousa de Almeida Switzerland
Regine Süss Germany
Simona Sitar Slovenia
Maxime Henry France
Eva Sušnik Switzerland
Christine Probst United States
Yukihiro Namba Japan
Irina Davidovich relative to Enrique Morales-Ávila Mexico Enrique Morales-Ávila's profile →
Citations per field
00.5×2.8×
Enrique Morales-Ávila · 1×
Citations per year

Countries citing papers authored by Irina Davidovich

Since Specialization
Citations

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

Fields of papers citing papers by Irina Davidovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pleiotropic resistance to DNA-interactive drugs is associated with increased expression of genes involved in DNA replication, repair, and stress response.
200078
2 202066
3 202062
4 202359
5 202157
6 202034
7 201034
8 202233
9 202032
10 201827
11 202222
12 199921
13 202120
14 200416
15 202116
16 201515
17 202314
18 202012
19 202111
20 202010

About Irina Davidovich

Irina Davidovich is a scholar working on Molecular Biology, Organic Chemistry, Surfaces, Coatings and Films, Biomedical Engineering and Biomaterials, having authored 25 papers that have together received 655 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), Surfactants and Colloidal Systems (4 papers), Advanced Cellulose Research Studies (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), MicroRNA in disease regulation (3 papers), DNA Repair Mechanisms (2 papers), Polymer Surface Interaction Studies (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (106 citations), Structural Biology (11 citations), Biomaterials (91 citations), Immunology and Allergy (29 citations) and Molecular Biology (349 citations). Irina Davidovich has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yeshayahu Talmon, Victor Levenson, Igor B. Roninson, Joy Wolfram, Sierra A. Walker, Sara Busatto, Laura J. Lewis‐Tuffin, Shane A. Shapiro, Lucy Liberman and Olga Kleinerman. Their work appears in journals such as Macromolecules, Cancer Letters, Pharmaceutics, Carbohydrate Polymers and npj Biofilms and Microbiomes.

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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