Mayya Sedova

910 total citations
20 papers, 434 citations indexed

About

Mayya Sedova is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Mayya Sedova has authored 20 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Ecology. Recurrent topics in Mayya Sedova's work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers) and Protein Structure and Dynamics (5 papers). Mayya Sedova is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers) and Protein Structure and Dynamics (5 papers). Mayya Sedova collaborates with scholars based in United States, Spain and Canada. Mayya Sedova's co-authors include Adam Godzik, Lukasz Jaroszewski, Zhanwen Li, Mallika Iyer, Michael Baitaluk, Amarnath Gupta, Animesh Ray, Arghavan Alisoltani, Thomas Hrabe and Piotr Rotkiewicz and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

In The Last Decade

Mayya Sedova

18 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayya Sedova United States 10 333 74 41 40 37 20 434
Peter Hönigschmid Germany 8 435 1.3× 37 0.5× 39 1.0× 29 0.7× 32 0.9× 9 650
Olga Kunyavskaya Russia 5 349 1.0× 26 0.4× 95 2.3× 15 0.4× 31 0.8× 6 422
Josephine Burgin United Kingdom 3 331 1.0× 32 0.4× 101 2.5× 11 0.3× 31 0.8× 4 402
Subu Subramanian United States 5 394 1.2× 29 0.4× 22 0.5× 62 1.6× 48 1.3× 8 542
Jongwan Kim South Korea 13 246 0.7× 47 0.6× 37 0.9× 60 1.5× 30 0.8× 38 504
David L. Penkler South Africa 7 321 1.0× 55 0.7× 24 0.6× 159 4.0× 45 1.2× 10 408
Piotr Łukasiak Poland 13 826 2.5× 38 0.5× 76 1.9× 26 0.7× 87 2.4× 34 970
Dana Weekes United States 9 263 0.8× 27 0.4× 16 0.4× 49 1.2× 41 1.1× 10 358
Dan Ofer Israel 10 697 2.1× 16 0.2× 24 0.6× 110 2.8× 41 1.1× 17 881
Sankaran Sandhya India 12 324 1.0× 61 0.8× 42 1.0× 28 0.7× 34 0.9× 40 432

Countries citing papers authored by Mayya Sedova

Since Specialization
Citations

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

Fields of papers citing papers by Mayya Sedova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayya Sedova

This figure shows the co-authorship network connecting the top 25 collaborators of Mayya Sedova. A scholar is included among the top collaborators of Mayya Sedova 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 Mayya Sedova. Mayya Sedova 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.
Stogios, P.J., Lukasz Jaroszewski, Malene L. Urbanus, et al.. (2024). Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors. Molecular Systems Biology. 21(1). 59–89.
2.
Alisoltani, Arghavan, Xinru Qiu, Lukasz Jaroszewski, et al.. (2023). Gender differences in smoking-induced changes in the tumor immune microenvironment. Archives of Biochemistry and Biophysics. 739. 109579–109579. 2 indexed citations
3.
Qiu, Xinru, et al.. (2023). Unusual structural and functional features of TpLRR/BspA-like LRR proteins. Journal of Structural Biology. 215(3). 108011–108011. 3 indexed citations
4.
Iyer, Mallika, Lukasz Jaroszewski, Mayya Sedova, & Adam Godzik. (2022). What the protein data bank tells us about the evolutionary conservation of protein conformational diversity. Protein Science. 31(7). e4325–e4325. 5 indexed citations
5.
Jaroszewski, Lukasz, Mallika Iyer, Arghavan Alisoltani, Mayya Sedova, & Adam Godzik. (2021). The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins. PLoS Computational Biology. 17(7). e1009147–e1009147. 33 indexed citations
6.
Sedova, Mayya, Lukasz Jaroszewski, Mallika Iyer, Zhanwen Li, & Adam Godzik. (2021). ModFlex: Towards Function Focused Protein Modeling. Journal of Molecular Biology. 433(11). 166828–166828. 1 indexed citations
7.
Alisoltani, Arghavan, Xinru Qiu, Lukasz Jaroszewski, et al.. (2021). Large scale analysis of smoking-induced changes in the tumor immune microenvironment. The Journal of Immunology. 206(1_Supplement). 56.01–56.01.
8.
Iyer, Mallika, Zhanwen Li, Lukasz Jaroszewski, Mayya Sedova, & Adam Godzik. (2020). Difference contact maps: From what to why in the analysis of the conformational flexibility of proteins. PLoS ONE. 15(3). e0226702–e0226702. 13 indexed citations
9.
Li, Zhanwen, Lukasz Jaroszewski, Mallika Iyer, Mayya Sedova, & Adam Godzik. (2020). FATCAT 2.0: towards a better understanding of the structural diversity of proteins. Nucleic Acids Research. 48(W1). W60–W64. 141 indexed citations
10.
Sedova, Mayya, Lukasz Jaroszewski, Arghavan Alisoltani, & Adam Godzik. (2020). Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence. Bioinformatics. 36(15). 4360–4362. 27 indexed citations
11.
Sedova, Mayya, Mallika Iyer, Zhanwen Li, et al.. (2018). Cancer3D 2.0: interactive analysis of 3D patterns of cancer mutations in cancer subsets. Nucleic Acids Research. 47(D1). D895–D899. 7 indexed citations
12.
Hrabe, Thomas, Zhanwen Li, Mayya Sedova, et al.. (2015). PDBFlex: exploring flexibility in protein structures. Nucleic Acids Research. 44(D1). D423–D428. 60 indexed citations
13.
Sedova, Mayya, Lukasz Jaroszewski, & Adam Godzik. (2015). Protael: protein data visualization library for the web. Bioinformatics. 32(4). 602–604. 7 indexed citations
14.
Jaroszewski, Lukasz, et al.. (2014). PubServer: literature searches by homology. Nucleic Acids Research. 42(W1). W430–W435. 9 indexed citations
15.
Hwang, W.C., Constantina Bakolitsa, Marco Punta, et al.. (2013). LUD, a new protein domain associated with lactate utilization. BMC Bioinformatics. 14(1). 341–341. 12 indexed citations
16.
Sedova, Mayya, et al.. (2011). BiologicalNetworks - tools enabling the integration of multi-scale data for the host-pathogen studies. BMC Systems Biology. 5(1). 7–7. 17 indexed citations
17.
Sedova, Mayya, et al.. (2010). BiologicalNetworks 2.0 - an integrative view of genome biology data. BMC Bioinformatics. 11(1). 610–610. 19 indexed citations
18.
Altıntaş, İlkay, Abel W. Lin, Jing Chen, et al.. (2010). CAMERA 2.0: A Data-centric Metagenomics Community Infrastructure Driven by Scientific Workflows. 352–359. 11 indexed citations
19.
Altıntaş, İlkay, Jing Chen, Mayya Sedova, et al.. (2010). Extending the Data Model for Data-Centric Metagenomics Analysis Using Scientific Workflows in CAMERA. 38. 49–56. 1 indexed citations
20.
Baitaluk, Michael, Mayya Sedova, Animesh Ray, & Amarnath Gupta. (2006). BiologicalNetworks: visualization and analysis tool for systems biology. Nucleic Acids Research. 34(Web Server). W466–W471. 66 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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