Natalia Morozova

869 citations
30 papers · 547 indexed · h-index 10
  • Ecology top 10%
    • Bacteriophages and microbial interactions 10
    • CRISPR and Genetic Engineering 14
    • RNA and protein synthesis mechanisms 6
    • DNA Repair Mechanisms 5
    • DNA and Nucleic Acid Chemistry 3
    • Genomics and Phylogenetic Studies 2
    • Bacterial Genetics and Biotechnology 12
    • Evolution and Genetic Dynamics 3

Natalia Morozova

25 papers receiving 541 citations

Peers

Natalia Morozova
Comparison fields: 5 of 74
  • Endocrinology 39
  • Ecology 165
  • Molecular Biology 436
  • Molecular Medicine 25
  • Genetics 124
Replace Ana B. de la Hoz with:
Ana B. de la Hoz Spain
Qiuying Huang China
Marek Żywicki Poland
Serena Sanulli United States
Dorothée Müller Germany
Katarzyna M. Soczek United States
Walead Ebrahimizadeh Iran
Leslie S. Casey United States
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Citations per field
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Ana B. de la Hoz · 1×
Citations per year

Countries citing papers authored by Natalia Morozova

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Morozova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202416
4 20240
5 20243
6 202310
7 20226
8 20228
9 20227
10 20228
11 20224
12 20220
13 201918
14 201882
15 201832
16 201754
17 20173
18 201512
19 201530
20 2006118

About Natalia Morozova

Natalia Morozova is a scholar working on Structural Biology, Genetics and Ecology, having authored 30 papers that have together received 547 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (14 papers), Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (10 papers), RNA and protein synthesis mechanisms (6 papers), DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Endocrinology (39 citations), Ecology (165 citations) and Molecular Biology (436 citations). Natalia Morozova has collaborated with scholars based in Russia, United States and Chile. Frequent co-authors include Yousif Shamoo, Konstantin Severinov, Ekaterina Semenova, М. А. Ходорковский, Ekaterina Savitskaya, Anastasia Metlitskaya, Kirill A. Datsenko, Artem Isaev, Anna E. Bugrova and Evgeniy G. Evtushenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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