М. В. Марсова

31 total papers · 510 total citations
26 papers, 359 citations indexed

About

М. В. Марсова is a scholar working on Molecular Biology, Neurology and Food Science. According to data from OpenAlex, М. В. Марсова has authored 26 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Neurology and 6 papers in Food Science. Recurrent topics in М. В. Марсова's work include Probiotics and Fermented Foods (5 papers), thermodynamics and calorimetric analyses (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). М. В. Марсова is often cited by papers focused on Probiotics and Fermented Foods (5 papers), thermodynamics and calorimetric analyses (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). М. В. Марсова collaborates with scholars based in Russia, Kazakhstan and Tajikistan. М. В. Марсова's co-authors include В. Н. Даниленко, Е. У. Полуэктова, О. В. Аверина, Roman А. Yunes, Г. И. Ковалев, Е. В. Васильева, Elena Poluektova, Rustem Ilyasov, A. V. Revishchin and Galina Pavlova and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Antioxidants.

In The Last Decade

М. В. Марсова

22 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
М. В. Марсова	219	142	69	61	44	26	359
Fan Yang	232 1.1×	39 0.3×	108 1.6×	49 0.8×	19 0.4×	33	392
Xin Wu	166 0.8×	47 0.3×	68 1.0×	11 0.2×	33 0.8×	17	360
Yuhe Zhang	189 0.9×	68 0.5×	108 1.6×	109 1.8×	16 0.4×	23	381
Yanyan Yang	186 0.8×	102 0.7×	19 0.3×	11 0.2×	21 0.5×	31	349
Ana María Fernández-Presas	128 0.6×	32 0.2×	68 1.0×	39 0.6×	18 0.4×	23	389
Ashley M. Sidebottom	211 1.0×	33 0.2×	52 0.8×	54 0.9×	17 0.4×	20	330
Zuming Li	129 0.6×	116 0.8×	26 0.4×	12 0.2×	121 2.8×	38	392
Monika Elżbieta Jach	188 0.9×	77 0.5×	28 0.4×	13 0.2×	61 1.4×	19	381
Meiwei Wang	149 0.7×	48 0.3×	41 0.6×	10 0.2×	61 1.4×	19	383
Jie Gao	144 0.7×	79 0.6×	42 0.6×	30 0.5×	24 0.5×	25	304

Countries citing papers authored by М. В. Марсова

Since Specialization

Citations

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

Fields of papers citing papers by М. В. Марсова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. В. Марсова. 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 М. В. Марсова. The network helps show where М. В. Марсова may publish in the future.

Co-authorship network of co-authors of М. В. Марсова

This figure shows the co-authorship network connecting the top 25 collaborators of М. В. Марсова. A scholar is included among the top collaborators of М. В. Марсова 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 М. В. Марсова. М. В. Марсова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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