Nadia Chuzhanova

7.5k citations
83 papers · 5.1k indexed · 2 hit papers · h-index 35
  • Genetics top 1%
    • Genomic variations and chromosomal abnormalities 22
    • Genomics and Rare Diseases 9
    • Genomics and Chromatin Dynamics 11
    • RNA and protein synthesis mechanisms 9
    • RNA modifications and cancer 9
    • DNA Repair Mechanisms 6
  • Neurology top 2%
    • Neurofibromatosis and Schwannoma Cases 11
  • Ecology top 2%
    • Chromosomal and Genetic Variations 13

Nadia Chuzhanova

82 papers receiving 5.0k citations

Hit Papers

New Screening Software Shows that Most Recent Large 16S r...5982005202620122019200400600

Peers

Nadia Chuzhanova
Comparison fields: 5 of 152
  • Genetics 1.3k
  • Molecular Biology 2.9k
  • Neurology 504
  • Ecology 769
  • Endocrinology 144
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Citations per field
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Citations per year

Countries citing papers authored by Nadia Chuzhanova

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Chuzhanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20196
2 20186
3 201615
4 20133
5 201122
6 20118
7 201128
8 201023
9 2010119
10 200894
11 2007461
12 200748
13 200654
14 200537
15 200516
16 20026
17 200288
18 200011
19 200018
20
The Algorithms of Recognition of the Functional Sites in Genetic Texts.
19903

About Nadia Chuzhanova

Nadia Chuzhanova is a scholar working on Genetics, Molecular Biology and Neurology, having authored 83 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (22 papers), Chromosomal and Genetic Variations (13 papers), Genomics and Chromatin Dynamics (11 papers), Neurofibromatosis and Schwannoma Cases (11 papers), Genomics and Rare Diseases (9 papers), RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (9 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.9k citations) and Neurology (504 citations). Nadia Chuzhanova has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include D.N. Cooper, John C. Fry, Kevin E. Ashelford, Antonia J. Jones, Andrew J. Weightman, Jian‐Min Chen, Claude Férec, Michael Krawczak, Matthew Mort and Peter D. Stenson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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