Perova Nv

999 citations
110 papers · 705 · h-index 13

Impact in

Papers in

Perova Nv

96 papers receiving 654 citations

Peers

Perova Nv
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 164
  • Biomaterials 89
  • Immunology 132
  • Biochemistry 37
  • Cancer Research 76
Replace Hiroko Fujii with:
Hiroko Fujii Japan
Zeynep Öztürk Türkiye
Hua Zhao China
Siyuan Tang China
Si Qin China
Long Wang China
Yang Dezhai China
Elena C. Castillo Mexico
Perova Nv relative to Hiroko Fujii Japan Hiroko Fujii's profile →
Citations per field
00.5×2.9×
Hiroko Fujii · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Perova Nv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Perova Nv Line = papers co-authored together Perova Nv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200386
2 198657
3 199053
4 198951
5 199243
6 199536
7 199124
8 199420
9 199519
10 200116
11 201415
12
Effects of alcohol on the major steps of reverse cholesterol transport.
200014
13 200713
14 198812
15 198912
16 199011
17
[Dynamic behavior of apoproteins of human plasma very low density lipoproteins and lipolysis regulation].
199011
18 198210
19 201710
20 20038

About Perova Nv

Perova Nv is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Epidemiology, having authored 110 papers that have together received 705 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (27 papers), Lipoproteins and Cardiovascular Health (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Lipid metabolism and disorders (11 papers), Diet, Metabolism, and Disease (9 papers), Cholesterol and Lipid Metabolism (9 papers), Nutrition, Genetics, and Disease (9 papers) and Atherosclerosis and Cardiovascular Diseases (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Biomaterials (89 citations), Immunology (132 citations), Biochemistry (37 citations) and Cancer Research (76 citations). Perova Nv has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Alexander N. Orekhov, Vladimir N. Smirnov, V. I. Sevastianov, V.V. Tertov, Tatiana G. Volova, Г. С. Калачева, Ekaterina I. Shishatskaya, V. A. Metelskaya, Vladimir V. Tertov and Alexander D. Dergunov. Their work appears in journals such as Atherosclerosis, Prostaglandins Leukotrienes and Essential Fatty Acids, Experimental and Molecular Pathology, Bulletin of Experimental Biology and Medicine and Preventive Medicine.

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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