T. Skvortsova

43 total papers · 658 total citations
23 papers, 519 citations indexed

About

T. Skvortsova is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, T. Skvortsova has authored 23 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in T. Skvortsova's work include Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Genomics and Diagnostics (5 papers). T. Skvortsova is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer Genomics and Diagnostics (5 papers). T. Skvortsova collaborates with scholars based in Russia and Germany. T. Skvortsova's co-authors include Pavel P. Laktionov, Valentin V. Vlassov, Olga E. Bryzgunova, Elena Y. Rykova, Andrey V. Starikov, Н. П. Кузнецова, Svetlana Tamkovich, Evgeny S. Morozkin, Ivan A. Zaporozhchenko and E. I. Ryabchikova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

T. Skvortsova

20 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
T. Skvortsova 388 349 71 68 39 23 519
Óscar Rapado‐González 349 0.9× 341 1.0× 80 1.1× 73 1.1× 35 0.9× 26 603
Yuanfang Zhu 456 1.2× 369 1.1× 35 0.5× 43 0.6× 18 0.5× 28 580
Walter Pulverer 297 0.8× 160 0.5× 89 1.3× 99 1.5× 74 1.9× 31 517
Mariëlle Herzog 377 1.0× 200 0.6× 105 1.5× 95 1.4× 55 1.4× 33 604
Kalle Günther 299 0.8× 181 0.5× 84 1.2× 89 1.3× 69 1.8× 20 587
Amal Fawzy 273 0.7× 293 0.8× 50 0.7× 78 1.1× 60 1.5× 26 451
Víctor González‐Rumayor 269 0.7× 198 0.6× 91 1.3× 86 1.3× 36 0.9× 16 468
Marie Morfouace 279 0.7× 161 0.5× 65 0.9× 90 1.3× 16 0.4× 25 499
Laure Sorber 289 0.7× 417 1.2× 211 3.0× 171 2.5× 82 2.1× 15 540
Xin Luo 307 0.8× 219 0.6× 59 0.8× 71 1.0× 19 0.5× 28 543

Countries citing papers authored by T. Skvortsova

Since Specialization
Citations

This map shows the geographic impact of T. Skvortsova'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 T. Skvortsova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Skvortsova more than expected).

Fields of papers citing papers by T. Skvortsova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Skvortsova

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