Е. А. Соколова

56 total papers · 581 total citations
37 papers, 447 citations indexed

About

Е. А. Соколова is a scholar working on Molecular Biology, Biotechnology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Е. А. Соколова has authored 37 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Biotechnology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Е. А. Соколова's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Toxin Mechanisms and Immunotoxins (9 papers) and Enzyme Production and Characterization (7 papers). Е. А. Соколова is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Toxin Mechanisms and Immunotoxins (9 papers) and Enzyme Production and Characterization (7 papers). Е. А. Соколова collaborates with scholars based in Russia, China and Tajikistan. Е. А. Соколова's co-authors include Irina V. Balalaeva, Sergey M. Deyev, Evgenii L. Guryev, Alexey Schulga, Tatiana A. Zdobnova, Oleg A. Stremovskiy, О. Н. Шилова, Anna A. Brilkina, Vladimir Vodeneev and G. N. Rudenskaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and International Journal of Molecular Sciences.

In The Last Decade

Е. А. Соколова

34 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Е. А. Соколова	200	152	90	84	83	37	447
О. Н. Шилова	228 1.1×	136 0.9×	131 1.5×	59 0.7×	60 0.7×	20	442
Е. И. Шрамова	264 1.3×	179 1.2×	90 1.0×	67 0.8×	62 0.7×	34	449
Chien-Han Kao	295 1.5×	97 0.6×	82 0.9×	96 1.1×	28 0.3×	28	490
Shuxian Song	243 1.2×	159 1.0×	88 1.0×	150 1.8×	29 0.3×	18	468
Ronny Rüger	232 1.2×	194 1.3×	73 0.8×	135 1.6×	18 0.2×	22	503
Zhichu Xiang	327 1.6×	190 1.3×	63 0.7×	94 1.1×	31 0.4×	21	485
Evgenii L. Guryev	146 0.7×	201 1.3×	65 0.7×	80 1.0×	18 0.2×	26	427
Nicholas Bernards	147 0.7×	161 1.1×	75 0.8×	62 0.7×	18 0.2×	36	485
Lixia Wei	128 0.6×	169 1.1×	114 1.3×	169 2.0×	18 0.2×	21	528
Jieying Qian	220 1.1×	194 1.3×	24 0.3×	77 0.9×	26 0.3×	27	482

Countries citing papers authored by Е. А. Соколова

Since Specialization

Citations

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

Fields of papers citing papers by Е. А. Соколова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. А. Соколова. 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 Е. А. Соколова. The network helps show where Е. А. Соколова may publish in the future.

Co-authorship network of co-authors of Е. А. Соколова

This figure shows the co-authorship network connecting the top 25 collaborators of Е. А. Соколова. A scholar is included among the top collaborators of Е. А. Соколова 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 Е. А. Соколова. Е. А. Соколова 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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