Nadia Chuzhanova
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 22
- Genomics and Rare Diseases 9
- Molecular Biology top 2%
- 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%
- Endocrinology top 5%
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- Chromosomal and Genetic Variations 13
- Co-authors
- D.N. CooperJohn C. FryKevin E. AshelfordAntonia J. JonesAndrew J. WeightmanJian‐Min ChenClaude FérecMichael Krawczak
- Cited by
- GeneticsMolecular BiologyNeurology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Nadia Chuzhanova
82 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Genetics 1.3k
- Molecular Biology 2.9k
- Neurology 504
- Ecology 769
- Endocrinology 144
Countries citing papers authored by Nadia Chuzhanova
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 6 | |
| 2 | 2018 | 6 | |
| 3 | 2016 | 15 | |
| 4 | 2013 | 3 | |
| 5 | 2011 | 22 | |
| 6 | 2011 | 8 | |
| 7 | 2011 | 28 | |
| 8 | 2010 | 23 | |
| 9 | 2010 | 119 | |
| 10 | 2008 | 94 | |
| 11 | 2007 | 461 | |
| 12 | 2007 | 48 | |
| 13 | 2006 | 54 | |
| 14 | 2005 | 37 | |
| 15 | 2005 | 16 | |
| 16 | 2002 | 6 | |
| 17 | 2002 | 88 | |
| 18 | 2000 | 11 | |
| 19 | 2000 | 18 | |
| 20 | The Algorithms of Recognition of the Functional Sites in Genetic Texts. | 1990 | 3 |
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.