Е. Д. Бадаева

3.6k total citations
134 papers, 2.6k citations indexed

About

Е. Д. Бадаева is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Е. Д. Бадаева has authored 134 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Plant Science, 25 papers in Agronomy and Crop Science and 25 papers in Genetics. Recurrent topics in Е. Д. Бадаева's work include Wheat and Barley Genetics and Pathology (97 papers), Chromosomal and Genetic Variations (77 papers) and Plant Disease Resistance and Genetics (65 papers). Е. Д. Бадаева is often cited by papers focused on Wheat and Barley Genetics and Pathology (97 papers), Chromosomal and Genetic Variations (77 papers) and Plant Disease Resistance and Genetics (65 papers). Е. Д. Бадаева collaborates with scholars based in Russia, Germany and Türkiye. Е. Д. Бадаева's co-authors include Bikram S. Gill, Bernd Friebe, А. В. Зеленин, N. S. Badaev, Аlexandra V. Amosova, Svyatoslav A. Zoshchuk, Е. А. Салина, Alevtina Ruban, Tatiana E. Samatadze and A. A. Filatenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Е. Д. Бадаева

126 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Е. Д. Бадаева Russia 26 2.4k 576 573 295 229 134 2.6k
Oscar Riera‐Lizarazu United States 27 2.4k 1.0× 783 1.4× 1.1k 1.9× 373 1.3× 153 0.7× 71 2.7k
Jordi Comadran United Kingdom 18 1.9k 0.8× 497 0.9× 884 1.5× 243 0.8× 69 0.3× 21 2.0k
Ana M. Casas Spain 29 1.9k 0.8× 484 0.8× 642 1.1× 451 1.5× 68 0.3× 77 2.1k
Mark Sawkins Mexico 16 1.4k 0.6× 321 0.6× 761 1.3× 275 0.9× 171 0.7× 21 1.6k
James Beales United Kingdom 8 3.1k 1.3× 1.0k 1.8× 1.2k 2.0× 666 2.3× 108 0.5× 8 3.3k
Е. А. Салина Russia 26 2.2k 0.9× 530 0.9× 587 1.0× 612 2.1× 47 0.2× 172 2.3k
Mohammad Pourkheirandish Japan 21 1.6k 0.6× 524 0.9× 531 0.9× 235 0.8× 87 0.4× 48 1.7k
Jeffrey S. Skinner United States 20 2.2k 0.9× 808 1.4× 606 1.1× 595 2.0× 132 0.6× 23 2.3k
K. V. Prabhu India 29 2.2k 0.9× 551 1.0× 655 1.1× 222 0.8× 32 0.1× 103 2.4k
Shuhei Nasuda Japan 33 2.7k 1.1× 843 1.5× 704 1.2× 229 0.8× 124 0.5× 85 2.9k

Countries citing papers authored by Е. Д. Бадаева

Since Specialization
Citations

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

Fields of papers citing papers by Е. Д. Бадаева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. Д. Бадаева. 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 Е. Д. Бадаева. The network helps show where Е. Д. Бадаева may publish in the future.

Co-authorship network of co-authors of Е. Д. Бадаева

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Д. Бадаева. A scholar is included among the top collaborators of Е. Д. Бадаева 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 Е. Д. Бадаева. Е. Д. Бадаева 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
1.
Бадаева, Е. Д., О.В. Разумова, Н. Н. Чикида, et al.. (2025). Dynamics of repetitive DNA sequences over the course of evolution and intraspecific divergence of tetraploid goat-grass species Aegilops biuncialis vis. BMC Plant Biology. 26(1). 18–18.
2.
Бадаева, Е. Д., et al.. (2025). The genotype ‘1/3’ (× Trititrigia × Elymus farctus) and its potential for wheat breeding. Cereal Research Communications. 53(4). 2605–2614.
3.
4.
Бадаева, Е. Д., et al.. (2025). Perspectives on the utilization of Aegilops species containing the U genome in wheat breeding: a review. Frontiers in Plant Science. 16. 1661257–1661257.
5.
Бадаева, Е. Д., et al.. (2024). A study of the influence of the T2DL.2DS-2SS translocation and the 5S(5D) substitution from Aegilops speltoides on breeding-valuable traits of common wheat. Vavilov Journal of Genetics and Breeding. 28(5). 506–514. 1 indexed citations
6.
Бадаева, Е. Д., et al.. (2024). A study of bread wheat lines from crosses with the synthetic form Avrodes in regard to their yellow rust resistance. SHILAP Revista de lepidopterología. 6(3). 25–34. 1 indexed citations
7.
Бадаева, Е. Д., et al.. (2024). Cytogenetic features of intergeneric amphydiploids and genome-substituted forms of wheat. Vavilov Journal of Genetics and Breeding. 28(7). 716–730. 1 indexed citations
8.
Бадаева, Е. Д., et al.. (2023). Intraspecific divergence of diploid grass Aegilops comosa is associated with structural chromosome changes. ZooKeys. 17. 75–112. 3 indexed citations
9.
Alexeeva, Svetlana, Е. Д. Бадаева, Lorenzo Peruzzi, et al.. (2023). Karyotypes and Physical Mapping of Ribosomal DNA with Oligo-Probes in Eranthis sect. Eranthis (Ranunculaceae). Plants. 13(1). 47–47. 2 indexed citations
10.
Sharma, Shivali, Albert W. Schulthess, Filippo M. Bassi, et al.. (2021). Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm. Biology. 10(10). 982–982. 57 indexed citations
11.
Бадаева, Е. Д., et al.. (2021). A new insight on the evolution of polyploid Aegilops species from the complex Crassa: molecular-cytogenetic analysis. Plant Systematics and Evolution. 307(1). 11 indexed citations
12.
Erst, Andrey S., et al.. (2021). Molecular cytogenetic study of Eranthis (Ranunculaceae). 20(1). 305–308. 1 indexed citations
13.
Бадаева, Е. Д., et al.. (2019). The development and study of common wheat introgression lines derived from the synthetic form RS7. Vavilov Journal of Genetics and Breeding. 23(7). 827–835. 4 indexed citations
14.
Зеленин, А. В., А. В. Родионов, Nadezhda L. Bolsheva, Е. Д. Бадаева, & О. В. Муравенко. (2016). Истоки “генома”: происхождение и эволюция термина. Молекулярная биология. 50(4). 611–620. 1 indexed citations
15.
Бадаева, Е. Д., et al.. (2015). Study of resistance to leaf and stem rusts in Triticum aestivum–Aegilops speltoides lines. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Dobrovolskaya, O. B., Petr Martinek, И. Г. Адонина, et al.. (2015). EFFECT OF REARRANGEMENTS OF HOMOEOLOGOUS GROUP 2 CHROMOSOMES OF BREAD WHEAT ON SPIKE MORPHOLOGY. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Першина, Л. А., et al.. (2014). FEATURES OF ANDROGENESIS IN ANTHER CULTURES OF VARIETIES AND A PROMISING ACCESSION OF SPRING COMMON WHEAT BRED IN WEST SIBERIA DIFFERING IN THE PRESENCE OR ABSENCE OF WHEAT-ALIEN TRANSLOCATIONS. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Бадаева, Е. Д., et al.. (2014). EXAMINATION OF ADAPTIVE AND AGRONOMIC CHARACTERS IN LINES OF COMMON WHEAT OMSKAYA 37 BEARING TRANSLOCATIONS 1RS.1BL AND 7DL-7Ai. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Бадаева, Е. Д., et al.. (1990). 'Chromosomal passport' of Triticum aestivum L. em Thell cv. Chinese Spring and standardization of chromosomal analysis of cereals.. Cereal Research Communications. 18(4). 273–281. 24 indexed citations
20.
Бадаева, Е. Д., et al.. (1990). Cytogenetic study of cereals. Hexaploid and octoploid species containing genome G.. 26(4). 708–716. 1 indexed citations

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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