М. И. Воевода
- Genetics top 2%
- Molecular Biology
- Immunology top 10%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- A. G. RomaschenkoAndrey V. BarkhashВ. Н. МаксимовVladimir N. BabenkoGerald F. ShieldsN. S. YudinЕ. В. ШахтшнейдерYu. I. Ragino
- Topics
- Healthcare Systems and Public Health (29 papers)Lipoproteins and Cardiovascular Health (25 papers)Human Health and Disease (23 papers)
- Cited by
- GeneticsParasitologyImmunology
- Journals
- The LancetSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
М. И. Воевода
233 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Genetics 742
- Molecular Biology 587
- Immunology 424
- Epidemiology 385
- Surgery 370
Countries citing papers authored by М. И. Воевода
This map shows the geographic impact of М. И. Воевода'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. И. Воевода with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М. И. Воевода more than expected).
Fields of papers citing papers by М. И. Воевода
This network shows the impact of papers produced by М. И. Воевода. 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. И. Воевода. The network helps show where М. И. Воевода may publish in the future.
Co-authorship network of co-authors of М. И. Воевода
This figure shows the co-authorship network connecting the top 25 collaborators of М. И. Воевода. A scholar is included among the top collaborators of М. И. Воевода 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. И. Воевода. М. И. Воевода is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | [Length telomere leukocytes as ageing markers and risk factors for age-related diseases in humans]. | 3 |
| 17 | GENOME-WIDE SNP ALLELOTYPING OF HUMAN COHORTS BY POOLED DNA SAMPLES | 2 |
| 18 | PREDICTIVE ROLE OF CHROMOSOME 9P21.3 POLYMORPHISMS AND THEIR ASSOCIATION WITH FAMILY HISTORY OF CORONARY HEART DISEASE IN PATIENTS WITH MYOCARDIAL INFARCTION | 1 |
| 19 | HEART-TYPE FATTY ACID BINDING PROTEIN IN ACUTE CORONARY SYNDROME | 1 |
| 20 | Analysis of the gene polymorphism of matrix metalloproteinase-2 and -9 in patients with coronary heart disease | 1 |
About М. И. Воевода
М. И. Воевода is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Development, having authored 277 papers that have together received 2.5k indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (29 papers), Lipoproteins and Cardiovascular Health (25 papers) and Human Health and Disease (23 papers). The work is most often cited by research in Genetics (742 citations), Parasitology (139 citations) and Immunology (424 citations). М. И. Воевода has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include A. G. Romaschenko, Andrey V. Barkhash, В. Н. Максимов, Vladimir N. Babenko, Gerald F. Shields, N. S. Yudin, Е. В. Шахтшнейдер, Yu. I. Ragino, О. Д. Рымар and Margo A. Brinton. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Scientific Reports.
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.