Perova Nv

999 total citations
110 papers, 705 citations indexed

About

Perova Nv is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Perova Nv has authored 110 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 35 papers in Endocrinology, Diabetes and Metabolism and 27 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Perova Nv's work include Cancer, Lipids, and Metabolism (27 papers), Lipoproteins and Cardiovascular Health (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Perova Nv is often cited by papers focused on Cancer, Lipids, and Metabolism (27 papers), Lipoproteins and Cardiovascular Health (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Perova Nv collaborates with scholars based in Russia, United Kingdom and United States. Perova Nv's co-authors include Alexander N. Orekhov, Vladimir N. Smirnov, V. I. Sevastianov, V.V. Tertov, Ekaterina I. Shishatskaya, Tatiana G. Volova, Г. С. Калачева, V. A. Metelskaya, Vladimir V. Tertov and Alexander D. Dergunov and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and American Journal of Epidemiology.

In The Last Decade

Perova Nv

96 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Perova Nv Russia 13 194 164 132 120 106 110 705
Talgat Nurgozhın Kazakhstan 15 112 0.6× 65 0.4× 83 0.6× 97 0.8× 218 2.1× 54 839
Zeynep Öztürk Türkiye 16 96 0.5× 85 0.5× 98 0.7× 81 0.7× 142 1.3× 58 643
Hiroko Fujii Japan 13 163 0.8× 73 0.4× 46 0.3× 84 0.7× 244 2.3× 26 697
Hua Zhao China 18 162 0.8× 77 0.5× 57 0.4× 78 0.7× 348 3.3× 52 1.0k
Long Wang China 18 145 0.7× 152 0.9× 128 1.0× 230 1.9× 297 2.8× 81 1.0k
Yang Dezhai China 21 367 1.9× 356 2.2× 44 0.3× 142 1.2× 317 3.0× 49 1.1k
Si Qin China 16 112 0.6× 97 0.6× 112 0.8× 156 1.3× 229 2.2× 64 856
Elena C. Castillo Mexico 20 95 0.5× 50 0.3× 158 1.2× 144 1.2× 242 2.3× 35 1.0k
Pengfei Liang China 19 91 0.5× 82 0.5× 81 0.6× 195 1.6× 489 4.6× 59 1.0k
Raminderjit Kaur India 8 92 0.5× 126 0.8× 56 0.4× 111 0.9× 148 1.4× 16 655

Countries citing papers authored by Perova Nv

Since Specialization
Citations

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

Fields of papers citing papers by Perova Nv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Perova Nv

This figure shows the co-authorship network connecting the top 25 collaborators of Perova Nv. A scholar is included among the top collaborators of Perova Nv 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 Perova Nv. Perova Nv 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.
Sevastianov, V. I., et al.. (2024). Evaluation of the Biological Effect of Medical Devices: General Requirements for Biological Safety (Analytical Review). Inorganic Materials Applied Research. 15(5). 1300–1310. 1 indexed citations
2.
Nv, Perova, et al.. (2023). Artificial nerve conduit for guiding peripheral nerve growth (cadaveric study). SHILAP Revista de lepidopterología. 25(2). 99–106.
3.
4.
Metelskaya, V. A., et al.. (2014). FACTOR ANALYSIS AND INDIVIDUAL PROGNOSIS FOR THE PATIENTS WITH FIRST REVEALED ARTERIAL HYPERTENSION. Russian Journal of Cardiology. 24–29. 15 indexed citations
5.
Розанов, В. Б., et al.. (2007). Lipid profile stability and prognostic value in adolescents: 22-year prospective study. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Metelskaya, V. A., et al.. (2006). Platelet aggregation, dyslipoproteinemia and polyunsaturated fatty acids. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Metelskaya, V. A., et al.. (2006). Association of serum apolipoprotein A-II concentration with combined hyperlipidemia and impaired glucose tolerance. Bulletin of Experimental Biology and Medicine. 141(6). 678–681. 3 indexed citations
8.
Nv, Perova, et al.. (2005). Impaired Antiatherogenic Function of High-Density Lipoproteins in the Presence of Various Risk Factors for Coronary Heart Disease. Bulletin of Experimental Biology and Medicine. 139(3). 290–292. 1 indexed citations
9.
Бубнова, М. Г., et al.. (2003). [Physical exercise and atherosclerosis: dynamic high intensity exercise as a factor inducing exogenous dyslipidemia].. PubMed. 43(3). 43–9. 2 indexed citations
10.
Sevastianov, V. I., Perova Nv, Ekaterina I. Shishatskaya, Г. С. Калачева, & Tatiana G. Volova. (2003). Production of purified polyhydroxyalkanoates (PHAs) for applications in contact with blood. Journal of Biomaterials Science Polymer Edition. 14(10). 1029–1042. 86 indexed citations
11.
Metelskaya, V. A., et al.. (1998). Detection of the apoB-3500 Mutation in a Russian Family with Coronary Heart Disease. Human Heredity. 48(5). 291–292. 1 indexed citations
12.
Шадрина, М. И., et al.. (1997). [The apolipoprotein AII gene is not a risk factor for development ischemic heart disease in the Moscow population].. PubMed. 33(9). 1316–8. 3 indexed citations
13.
Orekhov, Alexander N., et al.. (1995). Diagnostic Value of Immune Cholesterol as a Marker for Atherosclerosis. European Journal of Cardiovascular Prevention & Rehabilitation. 2(5). 459–466. 19 indexed citations
14.
Beitz, Alvin J., et al.. (1993). Lipoproteins from normolipidemic and dyslipidemic subjects modify the thromboxane A2 generation by platelets in clotting human blood. Prostaglandins Leukotrienes and Essential Fatty Acids. 48(6). 475–479. 7 indexed citations
15.
Alexandrov, A. A., et al.. (1992). Primary prevention of cardiovascular disease: 3-year intervention results in boys of 12 years of age. Preventive Medicine. 21(1). 53–62. 43 indexed citations
16.
Tertov, Vladimir V., et al.. (1989). Low-density lipoproteins isolated from the blood of patients with coronary heart disease induce the accumulation of lipids in human aortic cells. Experimental and Molecular Pathology. 50(3). 337–347. 51 indexed citations
17.
Nv, Perova, et al.. (1989). Number of glucocorticoid receptors in lymphocytes and their sensitivity to hormone action. Cellular and Molecular Life Sciences. 45(11-12). 1115–1117. 6 indexed citations
18.
Tertov, Vladimir V., et al.. (1989). Peritoneal Macrophages: A Model for Detecting Atherogenic Potential in Patients' Blood Serum. Annals of Medicine. 21(6). 455–459. 5 indexed citations
19.
Nv, Perova, et al.. (1985). [Self-regulation of the functional state of high density lipoproteins and its disorders in hypoalphacholesterolemia (review].. PubMed. 31(1). 32–40.
20.
Nv, Perova, et al.. (1979). [High-density lipoprotein subfractions and sex hormones in the blood plasma of men 40 to 59].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19(12). 61–6. 1 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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