Elena Shabrova

15 total papers · 427 total citations
14 papers, 347 citations indexed

About

Elena Shabrova is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry. According to data from OpenAlex, Elena Shabrova has authored 14 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Biochemistry. Recurrent topics in Elena Shabrova's work include Retinoids in leukemia and cellular processes (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Forensic and Genetic Research (2 papers). Elena Shabrova is often cited by papers focused on Retinoids in leukemia and cellular processes (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Forensic and Genetic Research (2 papers). Elena Shabrova collaborates with scholars based in United States, Russia and Norway. Elena Shabrova's co-authors include Loredana Quadro, Irina Artsimovitch, Dmitry G. Vassylyev, Georgiy A. Belogurov, Vladimir Svetlov, Sergio Porté, Natalia V. Kostereva, Natalia Y. Kedishvili, Oriol Gallego and Xavier Parés and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biochemical Journal.

In The Last Decade

Elena Shabrova

14 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Elena Shabrova	217	73	64	47	41	14	347
Min Lin	191 0.9×	28 0.4×	89 1.4×	24 0.5×	12 0.3×	15	332
Malathy Singh	195 0.9×	26 0.4×	47 0.7×	42 0.9×	10 0.2×	16	336
Yujing Li	203 0.9×	18 0.2×	17 0.3×	32 0.7×	30 0.7×	20	368
Igor Aurrekoetxea	153 0.7×	28 0.4×	46 0.7×	9 0.2×	22 0.5×	17	403
Pierre‐Jacques Brun	255 1.2×	14 0.2×	42 0.7×	138 2.9×	22 0.5×	13	400
D Abramson	105 0.5×	21 0.3×	24 0.4×	10 0.2×	50 1.2×	14	382
Jane Cristina de Souza	126 0.6×	70 1.0×	15 0.2×	48 1.0×	10 0.2×	13	312
Qiang-Su Guo	156 0.7×	23 0.3×	44 0.7×	13 0.3×	18 0.4×	15	403
Diana Avram	160 0.7×	24 0.3×	67 1.0×	12 0.3×	10 0.2×	14	330
H.K. Biesalski	191 0.9×	26 0.4×	30 0.5×	91 1.9×	7 0.2×	18	333

Countries citing papers authored by Elena Shabrova

Since Specialization

Citations

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

Fields of papers citing papers by Elena Shabrova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Shabrova

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Shabrova. A scholar is included among the top collaborators of Elena Shabrova 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 Elena Shabrova. Elena Shabrova 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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