Julia Suhorutšenko

1.0k citations
10 papers · 566 · h-index 8

Impact in

    • Antimicrobial Peptides and Activities
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Lipid Membrane Structure and Behavior

Papers in

    • RNA Interference and Gene Delivery 7
    • Advanced biosensing and bioanalysis techniques 5
    • Virus-based gene therapy research 3
    • Genetic Associations and Epidemiology 1

Julia Suhorutšenko

10 papers receiving 558 citations

Peers

Julia Suhorutšenko
Comparison fields: 5 of 66
  • Microbiology 93
  • Molecular Biology 458
  • Biomaterials 52
  • Genetics 111
  • Immunology 47
Replace Alberto Grandi with:
Alberto Grandi Italy
Avner Fink Israel
Aleksandra Inić‐Kanada Serbia
Martin L. Koser United States
Jialong Qi China
Atsushi Matsuura Japan
Martin R. Burda Germany
Tuomas Huovinen Finland
Mohammad Shahrooei Belgium
Patricia Cuéllar‐Mata Mexico
Julia Suhorutšenko relative to Alberto Grandi Italy Alberto Grandi's profile →
Citations per field
00.5×3.9×
Alberto Grandi · 1×
Citations per year

Countries citing papers authored by Julia Suhorutšenko

Since Specialization
Citations

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

Fields of papers citing papers by Julia Suhorutšenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013116
2 2009100
3 201187
4 201185
5 201278
6 201337
7 201331
8 201020
9 20096
10 20126

About Julia Suhorutšenko

Julia Suhorutšenko is a scholar working on Molecular Biology, Genetics, Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 566 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Virus-based gene therapy research (3 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Genetic Associations and Epidemiology (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Sperm and Testicular Function (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Microbiology (93 citations), Molecular Biology (458 citations), Biomaterials (52 citations), Genetics (111 citations) and Immunology (47 citations). Julia Suhorutšenko has collaborated with scholars based in Estonia, Sweden and Greece. Frequent co-authors include Ülo Langel, Dana Maria Copolovici, Imre Mäger, Taavi Lehto, Nikita Oskolkov, Kariem Ezzat, Kaido Kurrikoff, Piret Arukuusk, Elo Eriste and Joana R. Viola. Their work appears in journals such as Bioconjugate Chemistry, Molecular Therapy, Molecular Pharmaceutics, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Controlled Release.

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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