М. В. Зыков

36 papers receiving 125 citations

Peers

М. В. Зыков
Comparison fields: 5 of 41
  • Cardiology and Cardiovascular Medicine 71
  • Nephrology 22
  • Immunology 32
  • Epidemiology 52
  • Internal Medicine 5
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Countries citing papers authored by М. В. Зыков

Since Specialization
Citations

This map shows the geographic impact of М. В. Зыков'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. Зыков 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. Зыков more than expected).

Fields of papers citing papers by М. В. Зыков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside М. В. Зыков, 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 М. В. Зыков Line = papers co-authored together М. В. Зыков links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201617
2 201714
3 201811
4 20167
5 20177
6 20136
7
[Prevalence and clinical significance of multifocal atherosclerosis in patients with ischemic heart disease].
20115
8
[The role of genetic factors in the prediction of myocardial infarction complications within one year follow up].
20135
9 20154
10 20204
11 20224
12 20164
13
[Role of renal dysfunction and multifocal atherosclerosis in assessment of prognosis of patients presenting with ST-elevation acute coronary syndrome].
20134
14
[Prognostic value of various markers of inflammation in ST-elevation myocardial infarction].
20114
15 20163
16 20173
17
[Predictors of non-fulfillment of reperfusion therapy in patients with ST-elevation acute coronary syndrome].
20123
18
PROGNOSIS IN PATIENTS WITH ST SEGMENT ELEVATION MYOCARDIAL INFARCTION, IN REGARD TO THE PRESENCE OF TYPE 2 DIABETES MELLITUS AND SELECTED TREATMENT STRATEGY IN THE ACUTE PERIOD
20122
19 20152
20 20202

About М. В. Зыков

М. В. Зыков is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Immunology, Nephrology and Molecular Biology, having authored 49 papers that have together received 138 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (9 papers), Healthcare Systems and Public Health (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Cardiovascular Disease and Adiposity (6 papers), Biomarkers in Disease Mechanisms (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Acute Kidney Injury Research (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (71 citations), Nephrology (22 citations), Immunology (32 citations), Epidemiology (52 citations) and Internal Medicine (5 citations). М. В. Зыков has collaborated with scholars based in Russia, Germany and United Kingdom. Frequent co-authors include О. Л. Барбараш, В. В. Кашталап, В. Н. Каретникова, Л. С. Барбараш, Anton G. Kutikhin, О. В. Груздева, Е. Д. Космачева, В. П. Пузырев, М. В. Голубенко and А. Д. Эрлих. Their work appears in journals such as Disease Markers, Heart & Lung, PLoS ONE, BMC Cardiovascular Disorders and Terapevticheskii arkhiv.

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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