М. В. Ежов

20.3k total citations · 1 hit paper
154 papers, 1.8k citations indexed

About

М. В. Ежов is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, М. В. Ежов has authored 154 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Surgery, 49 papers in Cardiology and Cardiovascular Medicine and 41 papers in Cancer Research. Recurrent topics in М. В. Ежов's work include Lipoproteins and Cardiovascular Health (109 papers), Cancer, Lipids, and Metabolism (35 papers) and Atherosclerosis and Cardiovascular Diseases (23 papers). М. В. Ежов is often cited by papers focused on Lipoproteins and Cardiovascular Health (109 papers), Cancer, Lipids, and Metabolism (35 papers) and Atherosclerosis and Cardiovascular Diseases (23 papers). М. В. Ежов collaborates with scholars based in Russia, United States and Italy. М. В. Ежов's co-authors include S. Pokrovsky, O. Afanasieva, Maya Safarova, Robert P. Giugliano, R Češka, J. Wouter Jukema, Marc S. Sabatine, Terje R. Pedersen, Henrik Kjærulf Jensen and Kurt Huber and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

М. В. Ежов

121 papers receiving 1.7k citations

Hit Papers

Lipoprotein(a), PCSK9 Inh... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
М. В. Ежов Russia 17 1.3k 648 431 350 261 154 1.8k
Claudia Stefanutti Italy 25 1.7k 1.3× 667 1.0× 689 1.6× 439 1.3× 234 0.9× 98 2.2k
Lulu Ren Sterling United States 16 961 0.7× 419 0.6× 368 0.9× 247 0.7× 136 0.5× 21 2.2k
Patrick M. Moriarty United States 18 1.3k 1.0× 394 0.6× 349 0.8× 282 0.8× 190 0.7× 40 1.7k
Brad Bisson United States 7 1.3k 1.0× 562 0.9× 675 1.6× 229 0.7× 147 0.6× 9 1.8k
Kouji Kajinami Japan 27 1.4k 1.1× 498 0.8× 424 1.0× 462 1.3× 159 0.6× 82 2.3k
Norman E. Lepor United States 8 1.8k 1.3× 460 0.7× 473 1.1× 275 0.8× 291 1.1× 13 2.4k
Laurens F. Reeskamp Netherlands 20 907 0.7× 531 0.8× 416 1.0× 335 1.0× 110 0.4× 65 1.4k
Ichiro Michishita Japan 22 1.1k 0.9× 457 0.7× 546 1.3× 268 0.8× 209 0.8× 88 1.9k
Christian M. Madsen Denmark 25 1.5k 1.2× 695 1.1× 842 2.0× 420 1.2× 166 0.6× 50 2.3k
Eli M. Roth United States 24 2.1k 1.6× 586 0.9× 587 1.4× 315 0.9× 326 1.2× 60 2.7k

Countries citing papers authored by М. В. Ежов

Since Specialization
Citations

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

Fields of papers citing papers by М. В. Ежов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. В. Ежов. 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 М. В. Ежов. The network helps show where М. В. Ежов may publish in the future.

Co-authorship network of co-authors of М. В. Ежов

This figure shows the co-authorship network connecting the top 25 collaborators of М. В. Ежов. A scholar is included among the top collaborators of М. В. Ежов 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 М. В. Ежов. М. В. Ежов 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.
Ежов, М. В., et al.. (2025). Impact of hyperlipoproteinemia(a) on the diagnosis of familial hypercholesterolemia and cardiovascular risk assessment. Rational Pharmacotherapy in Cardiology. 21(1). 47–53.
3.
Иванова, О.Н., et al.. (2025). The Mysterious Masks of Hypercholesterolemia: A Unique Clinical Case. Circulation. 151(11). 799–803.
4.
Захарова, И. Н., et al.. (2024). Sitosterolemia (phytosterolemia): Diagnosis, treatment and prognosis. Meditsinskiy sovet = Medical Council. 198–205.
5.
Ежов, М. В., et al.. (2024). Russian extreme hypertriglyceridemia registy (REGGI): a call to action. SHILAP Revista de lepidopterología. 20(5). 566–573.
6.
Shevchenko, Alexander I., М. С. Назаренко, М. В. Ежов, et al.. (2024). iPSC-Derived Endothelial Cells Reveal LDLR Dysfunction and Dysregulated Gene Expression Profiles in Familial Hypercholesterolemia. International Journal of Molecular Sciences. 25(2). 689–689. 3 indexed citations
7.
Ежов, М. В., et al.. (2024). The era of targeted therapy for hyperlipidemia. SHILAP Revista de lepidopterología. 29(8). 6038–6038.
8.
Mareev, Yu. V., М. В. Ежов, S. V. Villevalde, et al.. (2023). Cardiovascular effects of omega-3 polyunsaturated fatty acids: position of omega-3 polyunsaturated fatty acids in Russian and international guidelines. Council of Experts. Kardiologiia. 63(2). 11–18. 2 indexed citations
9.
Назаренко, М. С., Alexander I. Shevchenko, Eugeny A. Elisaphenko, et al.. (2023). Calling and Phasing of Single-Nucleotide and Structural Variants of the LDLR Gene Using Oxford Nanopore MinION. International Journal of Molecular Sciences. 24(5). 4471–4471. 3 indexed citations
10.
Ланкин, В. З., et al.. (2023). Clearance and Utilization of Dicarbonyl-Modified LDL in Monkeys and Humans. International Journal of Molecular Sciences. 24(13). 10471–10471. 4 indexed citations
11.
Pogosova, Nana, et al.. (2023). Association of cardiovascular disease with hospital mortality in COVID-19 patients. Kardiologiia. 63(10). 63–71. 1 indexed citations
12.
Ежов, М. В., et al.. (2023). Outpatient Practice of Lipid-Lowering Therapy Prescription (According to the ARGO-3 Study). SHILAP Revista de lepidopterología. 19(2). 143–150.
13.
Afanasieva, O., et al.. (2022). The relationship between the level of Lр(а) and the prevalence of atherosclerosis among young patients. Terapevticheskii arkhiv. 94(4). 479–484.
14.
Ежов, М. В., et al.. (2022). Rhabdomyolysis is a rare complication of statin therapy. Case report and literature review. 17(1). 84–84. 1 indexed citations
15.
Ежов, М. В., В. В. Кухарчук, И. В. Сергиенко, et al.. (2021). Existing problems and new possibilities in the treatment of dyslipidemia Joint Conclusion Based on the Results of the Expert Council. SHILAP Revista de lepidopterología. 17(1). 169–172. 2 indexed citations
16.
Afanasieva, O., et al.. (2020). Effect of Evolocumab on Lipoprotein(a) and PCSK9 in Healthy Individuals with Elevated Lipoprotein(a) Level. Journal of Cardiovascular Development and Disease. 7(4). 45–45. 11 indexed citations
17.
Galyavich, А. S., Elena Grineva, М. В. Ежов, et al.. (2018). Lipid-lowering treatment in the improvement of outcomes in patients with atherosclerotic cardiovascular disease and diabetes mellitus: the role of PCSK9 inhibitors. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Ежов, М. В., et al.. (2018). Regional ocular blood flow in patients with I-II stage hypertension and subclinical atherosclerosis. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Safarova, Maya, et al.. (2015). Lowering of lipoprotein(a) level under niacin treatment is dependent on apolipoprotein(a) phenotype. Atherosclerosis Supplements. 18. 53–58. 16 indexed citations
20.
Ежов, М. В., et al.. (2009). The role of atherosclerosis risk factors in development of coronary artery disease in young men. SHILAP Revista de lepidopterología. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026