Maria Shumskaya

1.3k total citations
33 papers, 925 citations indexed

About

Maria Shumskaya is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Maria Shumskaya has authored 33 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Plant Science and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Maria Shumskaya's work include Photosynthetic Processes and Mechanisms (13 papers), Algal biology and biofuel production (7 papers) and Antioxidant Activity and Oxidative Stress (6 papers). Maria Shumskaya is often cited by papers focused on Photosynthetic Processes and Mechanisms (13 papers), Algal biology and biofuel production (7 papers) and Antioxidant Activity and Oxidative Stress (6 papers). Maria Shumskaya collaborates with scholars based in United States, Russia and Finland. Maria Shumskaya's co-authors include Eleanore T. Wurtzel, Louis Mt Bradbury, Regina Monaco, Evros Vassiliou, Salvatore J. Coniglio, Kirill S. Mironov, Dmitry A. Los, Jesús Beltrán, A. V. Zhukov and Edward J. Kennelly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Maria Shumskaya

31 papers receiving 903 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 Shumskaya United States 14 654 319 216 181 85 33 925
Mihály Kis Hungary 16 752 1.1× 162 0.5× 320 1.5× 378 2.1× 132 1.6× 33 1.0k
Renata Rivera‐Madrid Mexico 17 620 0.9× 207 0.6× 267 1.2× 43 0.2× 52 0.6× 42 890
Gyula Tóth Hungary 18 370 0.6× 464 1.5× 152 0.7× 90 0.5× 100 1.2× 45 891
Camara Brahima Ivory Coast 16 991 1.5× 563 1.8× 599 2.8× 122 0.7× 76 0.9× 57 1.4k
Nazia Nisar Australia 8 1.0k 1.5× 536 1.7× 778 3.6× 127 0.7× 110 1.3× 9 1.5k
Jürgen Breitenbach Germany 23 1.6k 2.4× 878 2.8× 526 2.4× 704 3.9× 88 1.0× 43 2.1k
Tianhu Sun United States 18 1.1k 1.7× 758 2.4× 583 2.7× 176 1.0× 96 1.1× 30 1.5k
Gregory A. Armstrong Switzerland 20 1.6k 2.5× 442 1.4× 868 4.0× 445 2.5× 85 1.0× 22 2.0k
Claire Bréhélin France 19 1.2k 1.9× 259 0.8× 590 2.7× 245 1.4× 75 0.9× 23 1.6k
Reiko Motohashi Japan 27 1.9k 3.0× 197 0.6× 1.4k 6.4× 143 0.8× 98 1.2× 46 2.5k

Countries citing papers authored by Maria Shumskaya

Since Specialization
Citations

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

Fields of papers citing papers by Maria Shumskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Shumskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Shumskaya. A scholar is included among the top collaborators of Maria Shumskaya 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 Shumskaya. Maria Shumskaya 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.
Shumskaya, Maria, et al.. (2023). DNA isolation and genome sequence of the 134‐year‐old holotype specimen of Boletus subvelutipes Peck. Ecology and Evolution. 13(8). e10389–e10389. 1 indexed citations
2.
Coniglio, Salvatore J., Maria Shumskaya, & Evros Vassiliou. (2023). Unsaturated Fatty Acids and Their Immunomodulatory Properties. Biology. 12(2). 279–279. 71 indexed citations
3.
Shumskaya, Maria, et al.. (2023). MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris. MycoKeys. 96. 77–95. 2 indexed citations
4.
Shumskaya, Maria, et al.. (2023). Citizen science helps in the study of fungal diversity in New Jersey. Scientific Data. 10(1). 10–10. 6 indexed citations
5.
Patel, Urvi, et al.. (2023). Assessment of Fungal Succession in Decomposing Swine Carcasses (Sus scrofa L.) Using DNA Metabarcoding. Journal of Fungi. 9(9). 866–866. 3 indexed citations
6.
Shumskaya, Maria, et al.. (2021). Exploring DNA in biochemistry lab courses: DNA barcoding and phylogenetic analysis. Biochemistry and Molecular Biology Education. 49(5). 789–799.
7.
Shumskaya, Maria, et al.. (2021). Statistics with epidemiology of COVID-19. 1 indexed citations
8.
Shumskaya, Maria, et al.. (2021). Early Requirement for Bioinformatics in Undergraduate Biology Curricula. Frontiers in Bioinformatics. 1. 656531–656531. 1 indexed citations
9.
Shumskaya, Maria, et al.. (2020). Online laboratory exercise on computational biology: Phylogenetic analyses and protein modeling based on SARS‐CoV‐2 data during COVID‐19 remote instruction. Biochemistry and Molecular Biology Education. 48(5). 526–527. 11 indexed citations
10.
Zhukov, A. V. & Maria Shumskaya. (2020). Very-long-chain fatty acids (VLCFAs) in plant response to stress. Functional Plant Biology. 47(8). 695–703. 33 indexed citations
11.
12.
Schigel, Dmitry, et al.. (2019). Dead wood fungi in North America: an insight into research and conservation potential. Nature Conservation. 32. 1–17. 12 indexed citations
13.
Mironov, Kirill S., Maria A. Sinetova, Maria Shumskaya, & Dmitry A. Los. (2019). Universal Molecular Triggers of Stress Responses in Cyanobacterium Synechocystis. Life. 9(3). 67–67. 36 indexed citations
14.
Shumskaya, Maria, et al.. (2019). Elucidating Carotenoid Biosynthetic Enzyme Localization and Interactions Using Fluorescent Microscopy. Methods in molecular biology. 2083. 223–234. 3 indexed citations
15.
Sinetova, Maria A., К. Болатхан, Roman A. Sidorov, et al.. (2017). Polyphasic characterization of the thermotolerant cyanobacterium Desertifilum sp. strain IPPAS B-1220. FEMS Microbiology Letters. 364(4). fnx027–fnx027. 15 indexed citations
16.
Beltrán, Jesús, Brian Kloss, Jonathan P. Hosler, et al.. (2015). Control of carotenoid biosynthesis through a heme-based cis-trans isomerase. Nature Chemical Biology. 11(8). 598–605. 67 indexed citations
17.
Mighty, Jason, et al.. (2013). Sigma 1 Receptor plays a prominent role in IL-24-induced cancer-specific apoptosis. Biochemical and Biophysical Research Communications. 439(2). 215–220. 33 indexed citations
18.
Bradbury, Louis Mt, Maria Shumskaya, Oren Tzfadia, et al.. (2012). Lycopene cyclase paralog CruP protects against reactive oxygen species in oxygenic photosynthetic organisms. Proceedings of the National Academy of Sciences. 109(27). E1888–97. 24 indexed citations
19.
Shumskaya, Maria, Louis Mt Bradbury, Regina Monaco, & Eleanore T. Wurtzel. (2012). Plastid Localization of the Key Carotenoid Enzyme Phytoene Synthase Is Altered by Isozyme, Allelic Variation, and Activity. The Plant Cell. 24(9). 3725–3741. 117 indexed citations
20.
Shumskaya, Maria, et al.. (2007). Proteomics of Synechocystis sp. PCC 6803. FEBS Journal. 274(3). 791–804. 53 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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