М. В. Ежов
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- S. PokrovskyO. AfanasievaMaya SafarovaR ČeškaJ. Wouter JukemaMarc S. SabatineRobert P. GiuglianoTerje R. Pedersen
- Topics
- Lipoproteins and Cardiovascular Health (109 papers)Cancer, Lipids, and Metabolism (35 papers)Atherosclerosis and Cardiovascular Diseases (23 papers)
- Journals
- New England Journal of MedicineCirculationSHILAP Revista de lepidopterología
- Partner nations
- RussiaUnited StatesItaly
In The Last Decade
М. В. Ежов
121 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 648
- Endocrinology, Diabetes and Metabolism 431
- Cancer Research 350
- Immunology 261
Countries citing papers authored by М. В. Ежов
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 22 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 77 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | Lipid-lowering treatment in the improvement of outcomes in patients with atherosclerotic cardiovascular disease and diabetes mellitus: the role of PCSK9 inhibitors | 1 |
| 18 | 5 | |
| 19 | Lipoprotein (a) polymorphism as a risk factor of coronary and carotid atherosclerosis and its complications in women | 2 |
| 20 | The role of atherosclerosis risk factors in development of coronary artery disease in young men | 1 |
About М. В. Ежов
М. В. Ежов is a scholar working on Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 154 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (109 papers), Cancer, Lipids, and Metabolism (35 papers) and Atherosclerosis and Cardiovascular Diseases (23 papers). The work is most often cited by research in Surgery (1.3k citations), Cardiology and Cardiovascular Medicine (648 citations) and Endocrinology, Diabetes and Metabolism (431 citations). М. В. Ежов has collaborated with scholars based in Russia, United States and Italy. Frequent co-authors include S. Pokrovsky, O. Afanasieva, Maya Safarova, R Češka, J. Wouter Jukema, Marc S. Sabatine, Robert P. Giugliano, Terje R. Pedersen, Kurt Huber and Peter Sever. Their work appears in journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.
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.