Natalia Kovaleva
- Co-authors
- David MuttonLisa G. ShafferPhilip D. CotterЛеонид ГохбергVitaliy RoudMaxim KotsemirD. Yu. Kovalev
- Topics
- Prenatal Screening and Diagnostics (18 papers)Genomic variations and chromosomal abnormalities (14 papers)Genetic Syndromes and Imprinting (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Medical Genetics Part AEuropean Journal of Education
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Natalia Kovaleva
26 papers receiving 188 citations
Peers
Comparison fields: 5 of 65
- Genetics 157
- Pediatrics, Perinatology and Child Health 156
- Plant Science 40
- Molecular Biology 34
- Surgery 17
Countries citing papers authored by Natalia Kovaleva
This map shows the geographic impact of Natalia Kovaleva'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 Kovaleva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Kovaleva more than expected).
Fields of papers citing papers by Natalia Kovaleva
This network shows the impact of papers produced by Natalia Kovaleva. 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 Kovaleva. The network helps show where Natalia Kovaleva may publish in the future.
Co-authorship network of co-authors of Natalia Kovaleva
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Kovaleva. A scholar is included among the top collaborators of Natalia Kovaleva 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 Natalia Kovaleva. Natalia Kovaleva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 28 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | 46 | |
| 18 | [Sex ratio in Down syndrome]. | 15 |
| 19 | [Sex ratio in Down syndrome. Studies in patients with confirmed trisomy 21]. | 6 |
| 20 | Бедность в новых экономических условиях | 1 |
About Natalia Kovaleva
Natalia Kovaleva is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 39 papers that have together received 258 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (18 papers), Genomic variations and chromosomal abnormalities (14 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (156 citations), Genetics (157 citations) and Development (9 citations). Natalia Kovaleva has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include David Mutton, Lisa G. Shaffer, Philip D. Cotter, Леонид Гохберг, Vitaliy Roud, Maxim Kotsemir and D. Yu. Kovalev. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Medical Genetics Part A and European Journal of Education.
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.