Maria Samsonova

1.2k total citations
51 papers, 743 citations indexed

About

Maria Samsonova is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Maria Samsonova has authored 51 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 18 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Maria Samsonova's work include Genetic and Environmental Crop Studies (17 papers), Agricultural pest management studies (13 papers) and Soybean genetics and cultivation (8 papers). Maria Samsonova is often cited by papers focused on Genetic and Environmental Crop Studies (17 papers), Agricultural pest management studies (13 papers) and Soybean genetics and cultivation (8 papers). Maria Samsonova collaborates with scholars based in Russia, United States and Germany. Maria Samsonova's co-authors include John Reinitz, Ekaterina Myasnikova, Svetlana Surkova, Konstantin Kozlov, Anastasia Samsonova, Carlos E. Vanario‐Alonso, Alexander V. Spirov, Hilde Janssens, Vitaly V. Gursky and Ahram Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Maria Samsonova

45 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Samsonova Russia 13 504 242 131 58 53 51 743
Vitaly V. Gursky Russia 10 479 1.0× 88 0.4× 124 0.9× 34 0.6× 65 1.2× 29 591
Alexander V. Spirov Russia 13 746 1.5× 120 0.5× 156 1.2× 38 0.7× 135 2.5× 64 909
Anton Crombach Spain 15 582 1.2× 94 0.4× 295 2.3× 72 1.2× 29 0.5× 26 749
David M. Holloway Canada 13 392 0.8× 161 0.7× 54 0.4× 37 0.6× 46 0.9× 50 568
Lisa Simirenko United States 5 537 1.1× 115 0.5× 105 0.8× 15 0.3× 42 0.8× 8 629
Konstantin Kozlov Russia 14 1.0k 2.0× 237 1.0× 254 1.9× 71 1.2× 122 2.3× 59 1.3k
Ekaterina Myasnikova Russia 15 1.2k 2.4× 212 0.9× 250 1.9× 60 1.0× 131 2.5× 49 1.4k
Svetlana Surkova Russia 12 1.2k 2.5× 229 0.9× 300 2.3× 95 1.6× 159 3.0× 31 1.5k
James Cotterell Spain 12 564 1.1× 60 0.2× 164 1.3× 24 0.4× 119 2.2× 16 778
Carlos E. Vanario‐Alonso United States 11 1.3k 2.6× 222 0.9× 299 2.3× 88 1.5× 163 3.1× 17 1.5k

Countries citing papers authored by Maria Samsonova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Samsonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Samsonova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Samsonova. A scholar is included among the top collaborators of Maria Samsonova 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 Maria Samsonova. Maria Samsonova 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.
Kanapin, Alexander, et al.. (2024). Pangenomics of flax fungal parasite Fusarium oxysporum f. sp. lini. Frontiers in Plant Science. 15. 1383914–1383914.
2.
Rozhmina, Tatiana A., et al.. (2024). Identification of Two QTLs Contolling Flax Resistance to Fusarium Wilt. Биофизика. 69(1). 69–76.
3.
Gursky, Vitaly V., et al.. (2024). Control of the Activity of Mobile Elements in Cancer Cells as a Strategy for Anticancer Therapy. BIOPHYSICS. 69(6). 1060–1063.
4.
Gursky, Vitaly V., et al.. (2023). Modeling the Flowering Activation Motif during Vernalization in Legumes: A Case Study of M. trancatula. Life. 14(1). 26–26. 2 indexed citations
5.
Igolkina, Anna A., Nina Noujdina, M. A. Vishnyаkova, et al.. (2023). Historical Routes for Diversification of Domesticated Chickpea Inferred from Landrace Genomics. Molecular Biology and Evolution. 40(6). 9 indexed citations
6.
Surkova, Svetlana, Alexander Kanapin, Anastasia Samsonova, et al.. (2023). Transcriptomic Analysis of Flowering Time Genes in Cultivated Chickpea and Wild Cicer. International Journal of Molecular Sciences. 24(3). 2692–2692. 4 indexed citations
7.
Kanapin, Alexander, et al.. (2023). Genome-Wide Association Analysis in Chickpea Landraces and Cultivars. BIOPHYSICS. 68(6). 952–963. 1 indexed citations
8.
Lin, Ya‐Ping, Hung‐Wei Chen, М. О. Burlyaeva, et al.. (2023). Environment as a limiting factor of the historical global spread of mungbean. eLife. 12. 13 indexed citations
9.
Samsonova, Anastasia, et al.. (2022). An account of Fusarium wilt resistance in flax Linum usitatissimum: The disease severity data. Data in Brief. 41. 107869–107869. 3 indexed citations
10.
Tang, Sha, Mojgan Shahriari, Taras Pasternak, et al.. (2021). The role of AUX1 during lateral root development in the domestication of the model C4 grass Setaria italica. Journal of Experimental Botany. 73(7). 2021–2034. 10 indexed citations
11.
Aydoğan, Abdulkadir, et al.. (2021). Simulation Model for Time to Flowering with Climatic and Genetic Inputs for Wild Chickpea. Agronomy. 11(7). 1389–1389. 3 indexed citations
12.
Kanapin, Alexander, et al.. (2021). The Genetic Landscape of Fiber Flax. Frontiers in Plant Science. 12. 764612–764612. 10 indexed citations
13.
Samsonova, Anastasia, et al.. (2021). A comprehensive dataset of flax (Linum uitatissimum L.) phenotypes. SHILAP Revista de lepidopterología. 37. 107224–107224. 5 indexed citations
14.
Kanapin, Alexander, et al.. (2020). The Genome Sequence of Five Highly Pathogenic Isolates of Fusarium oxysporum f. sp. lini. Molecular Plant-Microbe Interactions. 33(9). 1112–1115. 12 indexed citations
15.
Shin, Min‐Gyoung, Peter L. Chang, Lijalem Korbu, et al.. (2019). Multi-trait analysis of domestication genes in Cicer arietinum – Cicer reticulatum hybrids with a multidimensional approach: Modeling wide crosses for crop improvement. Plant Science. 285. 122–131. 12 indexed citations
16.
Kozlov, Konstantin, Anupam Singh, Jens Berger, et al.. (2019). Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors. BMC Plant Biology. 19(S2). 94–94. 16 indexed citations
17.
Kozlov, Konstantin, et al.. (2017). Quantitative analysis of the heterogeneous population of endocytic vesicles. Journal of Bioinformatics and Computational Biology. 15(2). 1750008–1750008. 3 indexed citations
18.
Surkova, Svetlana, Alexander V. Spirov, Vitaly V. Gursky, et al.. (2009). Canalization of Gene Expression and Domain Shifts in the Drosophila Blastoderm by Dynamical Attractors. PLoS Computational Biology. 5(3). e1000303–e1000303. 173 indexed citations
19.
Surkova, Svetlana, Ekaterina Myasnikova, Konstantin Kozlov, et al.. (2008). Methods for acquisition of quantitative data from confocal images of gene expression in situ. Cell and Tissue Biology. 2(2). 200–215. 17 indexed citations
20.
Surkova, Svetlana, David Kosman, Konstantin Kozlov, et al.. (2007). Characterization of the Drosophila segment determination morphome. Developmental Biology. 313(2). 844–862. 154 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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