Pavlova Tv

81 total papers · 1.2k total citations
47 papers, 944 citations indexed

About

Pavlova Tv is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Pavlova Tv has authored 47 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Pavlova Tv's work include Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (5 papers). Pavlova Tv is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (5 papers). Pavlova Tv collaborates with scholars based in Russia, Sweden and Ukraine. Pavlova Tv's co-authors include В. И. Кашуба, Eugene R. Zabarovsky, В. Н. Сенченко, Elvira V. Grigorieva, Twana Alkasalias, Michael I. Lerman, Luke B. Hesson, Farida Latif, George Klein and Hayrettin Guvén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pavlova Tv

44 papers receiving 927 citations

Author Peers

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

Author Last Decade Papers Cites
Pavlova Tv 655 286 216 152 130 47 944
Jennifer M. Atkinson 625 1.0× 301 1.1× 296 1.4× 194 1.3× 128 1.0× 47 1.2k
Toshinori Hyodo 772 1.2× 170 0.6× 221 1.0× 191 1.3× 91 0.7× 47 1.0k
Reiko Satow 775 1.2× 218 0.8× 198 0.9× 190 1.3× 139 1.1× 32 1.1k
Satoko Ito 775 1.2× 215 0.8× 232 1.1× 217 1.4× 94 0.7× 47 1.1k
Attila Sebe 682 1.0× 147 0.5× 207 1.0× 119 0.8× 110 0.8× 37 992
Nam Y. Lee 831 1.3× 234 0.8× 284 1.3× 170 1.1× 141 1.1× 45 1.2k
Gabriele Jaques 609 0.9× 204 0.7× 359 1.7× 87 0.6× 131 1.0× 40 1.1k
Lucia Cappabianca 569 0.9× 283 1.0× 186 0.9× 91 0.6× 61 0.5× 45 943
Andrew J. McKenzie 715 1.1× 391 1.4× 242 1.1× 185 1.2× 80 0.6× 40 1.2k
Morihiro Higo 582 0.9× 228 0.8× 254 1.2× 140 0.9× 99 0.8× 35 838

Countries citing papers authored by Pavlova Tv

Since Specialization
Citations

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

Fields of papers citing papers by Pavlova Tv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavlova Tv

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