Pavlov Ka

807 total citations
50 papers, 533 citations indexed

About

Pavlov Ka is a scholar working on Molecular Biology, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, Pavlov Ka has authored 50 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Obstetrics and Gynecology and 6 papers in Genetics. Recurrent topics in Pavlov Ka's work include Pregnancy and preeclampsia studies (9 papers), Angiogenesis and VEGF in Cancer (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Pavlov Ka is often cited by papers focused on Pregnancy and preeclampsia studies (9 papers), Angiogenesis and VEGF in Cancer (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Pavlov Ka collaborates with scholars based in Russia, United States and United Kingdom. Pavlov Ka's co-authors include В. П. Чехонин, Dimitry A. Chistiakov, О. И. Гурина, Olga Abramova, Аnna Morozova, Yana Zorkina, Г. Т. Сухих, А. И. Щеголев, Владимир П. Баклаушев and Gaukhar M. Yusubalieva and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Cells.

In The Last Decade

Pavlov Ka

45 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pavlov Ka Russia 12 114 106 78 73 57 50 533
Hannah L. Morgan United Kingdom 17 148 1.3× 222 2.1× 231 3.0× 57 0.8× 40 0.7× 37 916
Agnieszka Podfigurna-Stopa Poland 17 123 1.1× 45 0.4× 79 1.0× 123 1.7× 18 0.3× 34 891
Luke S. Heuer United States 12 96 0.8× 100 0.9× 86 1.1× 65 0.9× 20 0.4× 21 745
Guiqin Zhang China 9 104 0.9× 28 0.3× 115 1.5× 71 1.0× 47 0.8× 28 595
Lisa Yang United Kingdom 17 256 2.2× 28 0.3× 30 0.4× 37 0.5× 68 1.2× 49 976
Staci E. Pollack United States 9 160 1.4× 19 0.2× 56 0.7× 35 0.5× 39 0.7× 29 602
S Harel Israel 15 290 2.5× 64 0.6× 308 3.9× 33 0.5× 84 1.5× 34 914
Wilson K. M. Wong Australia 13 210 1.8× 28 0.3× 48 0.6× 25 0.3× 39 0.7× 35 573
Wendy Gold Australia 14 413 3.6× 38 0.4× 94 1.2× 58 0.8× 47 0.8× 37 879
Andrew Friedman United States 13 76 0.7× 144 1.4× 87 1.1× 9 0.1× 84 1.5× 21 533

Countries citing papers authored by Pavlov Ka

Since Specialization
Citations

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

Fields of papers citing papers by Pavlov Ka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavlov Ka

This figure shows the co-authorship network connecting the top 25 collaborators of Pavlov Ka. A scholar is included among the top collaborators of Pavlov Ka 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 Pavlov Ka. Pavlov Ka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zorkina, Yana, Olga Abramova, A M Reznik, et al.. (2025). Serum Cortisol and Interleukin-6 as Key Biomarkers for a Diagnostic Algorithm of Combat-Related PTSD. Brain Sciences. 15(12). 1319–1319.
2.
Stepanenko, Aleksei A., et al.. (2024). Systemic and local immunosuppression in glioblastoma and its prognostic significance. Frontiers in Immunology. 15. 1326753–1326753. 18 indexed citations
3.
Ka, Pavlov, et al.. (2024). Genetic determinants of serum brain-derived neurotrophic factor (BDNF) after alcohol withdrawal. Discover Medicine. 1(1). 1 indexed citations
4.
Abramova, Olga, Yana Zorkina, Pavlov Ka, et al.. (2024). Chronic Ultrasound Prenatal Stress Altered the Brain’s Neurochemical Systems in Newborn Rats. Neural Plasticity. 2024. 1–18. 1 indexed citations
5.
Zorkina, Yana, Olga Abramova, Valeriya Ushakova, et al.. (2023). Inflammatory biomarkers and lipid metabolism parameters in women with mild cognitive impairment and dementia. Women & Health. 63(4). 285–295. 5 indexed citations
6.
Abramova, Olga, Yana Zorkina, Valeriya Ushakova, et al.. (2023). Alteration of Blood Immune Biomarkers in MCI Patients with Different APOE Genotypes after Cognitive Training: A 1 Year Follow-Up Cohort Study. International Journal of Molecular Sciences. 24(17). 13395–13395. 1 indexed citations
7.
Zorkina, Yana, Olga Abramova, Eugene Zubkov, et al.. (2022). Antidepressant Effect of Neuropeptide Y in Models of Acute and Chronic Stress. Scientia Pharmaceutica. 90(3). 50–50. 3 indexed citations
8.
Ka, Pavlov, et al.. (2021). Antibodies against N-Methyl D-Aspartate Receptor in Psychotic Disorders: A Systematic Review. Neuropsychobiology. 81(1). 1–18. 8 indexed citations
9.
Астрелина, Т. А., et al.. (2020). Evaluation of the Effectiveness of Mesenchymal Stem Cells of the Placenta and Their Conditioned Medium in Local Radiation Injuries. Cells. 9(12). 2558–2558. 7 indexed citations
10.
Abramova, Olga, Eugene Zubkov, Yana Zorkina, et al.. (2020). Social and Cognitive Impairments in Rat Offspring after Ultrasound-Induced Prenatal Stress. Bulletin of Experimental Biology and Medicine. 168(6). 730–733. 5 indexed citations
11.
Ka, Pavlov, et al.. (2016). Gastric cancer concurrent with IgG4-related disease: A clinical case and a review of literature. Russian Journal of Archive of Pathology. 78(4). 43–43. 4 indexed citations
12.
Ka, Pavlov, et al.. (2014). Expression of Insulin-Like Growth Factors in the Placenta in Preeclampsia. Bulletin of Experimental Biology and Medicine. 157(1). 103–107. 18 indexed citations
13.
14.
Ka, Pavlov, et al.. (2013). Vascular Endothelial Growth Factor and Its Receptors in the Placental Villi of Pregnant Patients with Pre-Eclampsia. Bulletin of Experimental Biology and Medicine. 154(6). 792–795. 9 indexed citations
15.
Ka, Pavlov, et al.. (2012). Morphometric Characteristics of Terminal Villi of the Placenta in Pre-Eclampsia. Bulletin of Experimental Biology and Medicine. 154(1). 92–95. 12 indexed citations
16.
Ka, Pavlov, et al.. (2011). Vascular Endothelial Growth Factor and its Receptors in the Placenta of Pregnant Women with Obesity. Bulletin of Experimental Biology and Medicine. 151(2). 253–258. 29 indexed citations
17.
Ka, Pavlov, et al.. (2011). Cloning and Expression of Human Neuron-Specific Enolase cDNA in Escherichia coli. Bulletin of Experimental Biology and Medicine. 152(2). 206–209. 1 indexed citations
18.
Ka, Pavlov, et al.. (2009). Ultrastructural Characteristics of Peripheral Arteriovenous and Venous Angiodysplasias. Bulletin of Experimental Biology and Medicine. 147(4). 480–484. 3 indexed citations
19.
Shkoporov, Andrey N., Ekaterina V. Khokhlova, Л. И. Кафарская, et al.. (2008). Search for Protein Adhesin Gene in Bifidobacterium Longum Genome Using Surface Phage Display Technology. Bulletin of Experimental Biology and Medicine. 146(6). 782–785. 10 indexed citations
20.
Чехонин, В. П., et al.. (2007). Modeling and immunohistochemical analysis of C6 glioma In Vivo. Bulletin of Experimental Biology and Medicine. 143(4). 501–509. 40 indexed citations

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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