Natalay Kouprina

3.9k citations
82 papers · 2.9k indexed · h-index 34
Topics
CRISPR and Genetic Engineering (44 papers)Chromosomal and Genetic Variations (33 papers)Genomics and Chromatin Dynamics (23 papers)

In The Last Decade

Natalay Kouprina

80 papers receiving 2.9k citations

Peers

Natalay Kouprina
Comparison fields: 5 of 106
  • Molecular Biology 2.5k
  • Genetics 831
  • Plant Science 800
  • Cell Biology 276
  • Pharmacology 214
Replace Vladimir Larionov with:
Vladimir Larionov United States
Peter K. Wellauer United States
Birgit Dreier Switzerland
Hideaki Tagami Japan
Amy C. Groth United States
Karin Römisch United Kingdom
Tamar Juven‐Gershon Israel
Aengus Stewart United Kingdom
Fiona E. Benson United Kingdom
Elmar Wahle Germany
Natalay Kouprina relative to Vladimir Larionov United States Vladimir Larionov's profile →
Citations per field
00.5×1.5×
Vladimir Larionov · 1×
Citations per year

Countries citing papers authored by Natalay Kouprina

Since Specialization
Citations

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

Fields of papers citing papers by Natalay Kouprina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalay Kouprina

This figure shows the co-authorship network connecting the top 25 collaborators of Natalay Kouprina. A scholar is included among the top collaborators of Natalay Kouprina 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 Natalay Kouprina. Natalay Kouprina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 1
4 12
5 41
6 8
7 20
8 20
9 57
10 85
11
A portable BRCA1-HAC (human artificial chromosome) module for analysis of BRCA1 tumor suppressor function
1
12 38
13 33
14 12
15 35
16 58
17 15
18 153
19 45
20 16

About Natalay Kouprina

Natalay Kouprina is a scholar working on Molecular Biology, Plant Science and Genetics, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (44 papers), Chromosomal and Genetic Variations (33 papers) and Genomics and Chromatin Dynamics (23 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Genetics (831 citations) and Plant Science (800 citations). Natalay Kouprina has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Vladimir Larionov, Hiroshi Masumoto, William C. Earnshaw, Vladimir N. Noskov, Nathan Lee, J. Carl Barrett, Adam Pavlı́c̀ek, Jerzy Jurka, Sun‐Hee Leem and Mikhail Liskovykh. 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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