Pavlova Tv
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Cell Biology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- В. И. КашубаEugene R. ZabarovskyВ. Н. СенченкоElvira V. GrigorievaTwana AlkasaliasMichael I. LermanFarida LatifHayrettin Guvén
- Topics
- Epigenetics and DNA Methylation (11 papers)Cancer-related gene regulation (9 papers)Genomics and Chromatin Dynamics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Pavlova Tv
44 papers receiving 930 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 657
- Cancer Research 287
- Oncology 216
- Cell Biology 152
- Pulmonary and Respiratory Medicine 130
Countries citing papers authored by Pavlova Tv
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 66 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | [The mother-placenta-fetus system in maternal thyroid diseases]. | 1 |
| 7 | 73 | |
| 8 | 24 | |
| 9 | 82 | |
| 10 | 38 | |
| 11 | 24 | |
| 12 | 68 | |
| 13 | 23 | |
| 14 | 50 | |
| 15 | Screening of epigenetic and genetic disturbances of human chromosome 3 genes in colorectal cancer. | 13 |
| 16 | 82 | |
| 17 | [Elastography for determination of hepatic fibrosis severity: registration study in Russia]. | 1 |
| 18 | 37 | |
| 19 | [Placental morphology in pregnancy complicated with iron-deficiency anemia]. | 4 |
| 20 | 41 |
About Pavlova Tv
Pavlova Tv is a scholar working on Anatomy, Cancer Research and Behavioral Neuroscience, having authored 47 papers that have together received 947 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (9 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (287 citations), Molecular Biology (657 citations) and Cell Biology (152 citations). Pavlova Tv has collaborated with scholars based in Russia, Sweden and Ukraine. Frequent co-authors include В. И. Кашуба, Eugene R. Zabarovsky, В. Н. Сенченко, Elvira V. Grigorieva, Twana Alkasalias, Michael I. Lerman, Farida Latif, Hayrettin Guvén, George Klein and Alexey A. Dmitriev. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.