М. В. Ежов

383 total papers · 20.0k total citations
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, J. Wouter Jukema, R Češka, Robert P. Giugliano, Marc S. Sabatine, Terje R. Pedersen, Peter Sever and François Mach 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

120 papers receiving 1.7k citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
М. В. Ежов 1.3k 639 421 349 259 154 1.8k
Claudia Stefanutti 1.7k 1.3× 661 1.0× 687 1.6× 435 1.2× 234 0.9× 98 2.1k
Kouji Kajinami 1.4k 1.1× 498 0.8× 426 1.0× 460 1.3× 159 0.6× 82 2.3k
Jorie Versmissen 848 0.7× 669 1.0× 398 0.9× 328 0.9× 129 0.5× 94 2.0k
Ichiro Michishita 1.1k 0.9× 457 0.7× 546 1.3× 268 0.8× 209 0.8× 88 1.9k
Alexis Baass 1.3k 1.0× 528 0.8× 627 1.5× 418 1.2× 144 0.6× 102 1.8k
Amanda J. Hooper 1.5k 1.2× 633 1.0× 736 1.7× 430 1.2× 155 0.6× 106 2.3k
Patrick M. Moriarty 1.3k 1.0× 389 0.6× 348 0.8× 281 0.8× 190 0.7× 40 1.7k
Norman E. Lepor 981 0.8× 575 0.9× 422 1.0× 176 0.5× 119 0.5× 79 1.8k
Antonio J. Vallejo‐Vaz 858 0.7× 367 0.6× 462 1.1× 276 0.8× 103 0.4× 51 1.5k
Teik Chye Ooi 1.1k 0.9× 633 1.0× 1.0k 2.4× 305 0.9× 135 0.5× 79 2.4k

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

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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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