С. В. Сайкова

95 total papers · 562 total citations
46 papers, 433 citations indexed

About

С. В. Сайкова is a scholar working on Materials Chemistry, Organic Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, С. В. Сайкова has authored 46 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 15 papers in Organic Chemistry and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in С. В. Сайкова's work include Nanomaterials for catalytic reactions (11 papers), Gold and Silver Nanoparticles Synthesis and Applications (10 papers) and Magnetic Properties and Synthesis of Ferrites (10 papers). С. В. Сайкова is often cited by papers focused on Nanomaterials for catalytic reactions (11 papers), Gold and Silver Nanoparticles Synthesis and Applications (10 papers) and Magnetic Properties and Synthesis of Ferrites (10 papers). С. В. Сайкова collaborates with scholars based in Russia, Sweden and China. С. В. Сайкова's co-authors include Yu. L. Mikhlin, Alexander Romanchenko, Sergey Vorobyev, С. М. Жарков, Maxim Likhatski, Ralitza Nikolaeva, Yurii V. Larichev, Г. Л. Пашков, В. И. Зайковский and Ф. В. Тузиков and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry Letters and Molecules.

In The Last Decade

С. В. Сайкова

40 papers receiving 429 citations

Author Peers

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

Author						Papers	Cites
С. В. Сайкова	260	115	111	111	110	46	433
А. М. Зиатдинов	210 0.8×	81 0.7×	63 0.6×	136 1.2×	109 1.0×	56	443
Intak Jeon	264 1.0×	123 1.1×	83 0.7×	156 1.4×	68 0.6×	21	491
Tao Sun	263 1.0×	63 0.5×	70 0.6×	136 1.2×	182 1.7×	22	494
Li Jiang	264 1.0×	70 0.6×	67 0.6×	156 1.4×	74 0.7×	22	472
Yifei Wu	204 0.8×	73 0.6×	93 0.8×	182 1.6×	52 0.5×	28	461
María Dolores Merchán Moreno	235 0.9×	148 1.3×	108 1.0×	102 0.9×	71 0.6×	34	469
Gang Xue	235 0.9×	80 0.7×	54 0.5×	86 0.8×	59 0.5×	45	468
Rui Shi	253 1.0×	99 0.9×	113 1.0×	68 0.6×	40 0.4×	45	483
Yong Tian	201 0.8×	70 0.6×	96 0.9×	81 0.7×	109 1.0×	25	380
R. Yamuna	169 0.7×	84 0.7×	91 0.8×	64 0.6×	55 0.5×	41	446

Countries citing papers authored by С. В. Сайкова

Since Specialization

Citations

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

Fields of papers citing papers by С. В. Сайкова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of С. В. Сайкова

This figure shows the co-authorship network connecting the top 25 collaborators of С. В. Сайкова. A scholar is included among the top collaborators of С. В. Сайкова 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 С. В. Сайкова. С. В. Сайкова 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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