И К Мазурова
- Endocrinology top 1%
- Infectious Diseases top 10%
- Epidemiology
- Clinical Biochemistry top 5%
- Immunology
- Co-authors
- T. G. GlushkevichAndroulla EfstratiouKathryn H. EnglerRobert C. GeorgeHiroshi NakaoT. PopovicTanja PopovićJaana Vuopio‐Varkila
- Topics
- Diphtheria, Corynebacterium, and Tetanus (12 papers)Toxin Mechanisms and Immunotoxins (8 papers)Veterinary medicine and infectious diseases (5 papers)
- Journals
- Journal of Clinical MicrobiologyThe Journal of Infectious DiseasesEmerging infectious diseases
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
И К Мазурова
13 papers receiving 451 citations
Peers
Comparison fields: 5 of 45
- Endocrinology 409
- Infectious Diseases 183
- Epidemiology 152
- Clinical Biochemistry 147
- Immunology 137
Countries citing papers authored by И К Мазурова
This map shows the geographic impact of И К Мазурова'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 И К Мазурова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites И К Мазурова more than expected).
Fields of papers citing papers by И К Мазурова
This network shows the impact of papers produced by И К Мазурова. 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 И К Мазурова. The network helps show where И К Мазурова may publish in the future.
Co-authorship network of co-authors of И К Мазурова
This figure shows the co-authorship network connecting the top 25 collaborators of И К Мазурова. A scholar is included among the top collaborators of И К Мазурова 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 И К Мазурова. И К Мазурова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Isotypes of anti-pertussis antibodies in pertussis patients at different stages of the disease]. | 2 |
| 2 | [Polymorphism of tox and dtxR genes in circulating strains of Corynebacterium diphtheriae]. | 0 |
| 3 | [Molecular genetic characteristics of the B. pertussis strains isolated in different periods of the pertussis epidemic process]. | 2 |
| 4 | 25 | |
| 5 | [Corynebacterium diphtheriae nontoxigenic strain carrying the gene of diphtheria toxin]. | 13 |
| 6 | 36 | |
| 7 | 9 | |
| 8 | 45 | |
| 9 | 62 | |
| 10 | 26 | |
| 11 | 106 | |
| 12 | 77 | |
| 13 | 42 | |
| 14 | 31 |
About И К Мазурова
И К Мазурова is a scholar working on Endocrinology, Small Animals and Immunology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (12 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Veterinary medicine and infectious diseases (5 papers). The work is most often cited by research in Endocrinology (409 citations), Clinical Biochemistry (147 citations) and Small Animals (112 citations). И К Мазурова has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include T. G. Glushkevich, Androulla Efstratiou, Kathryn H. Engler, Robert C. George, Hiroshi Nakao, T. Popovic, Tanja Popović, Jaana Vuopio‐Varkila, Jay D. Wenger and Melinda Wharton. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and Emerging infectious diseases.
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.