Т. Yu. Kuznetsova
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Surgery
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Г. А. ЧумаковаUlrich JuliusV. B. VasilyevM. Yu. MandelshtamО. М. ДрапкинаS. А. BoytsovDmitry KorzunA. Yu. Meigal
- Topics
- Cardiovascular Disease and Adiposity (18 papers)Healthcare Systems and Public Health (15 papers)Lipoproteins and Cardiovascular Health (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalAtherosclerosis
- Partner nations
- RussiaIndiaSouth Korea
In The Last Decade
Т. Yu. Kuznetsova
48 papers receiving 199 citations
Peers
Comparison fields: 5 of 53
- Cardiology and Cardiovascular Medicine 111
- Epidemiology 71
- Surgery 57
- Physiology 34
- Endocrinology, Diabetes and Metabolism 31
Countries citing papers authored by Т. Yu. Kuznetsova
This map shows the geographic impact of Т. Yu. Kuznetsova'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 Т. Yu. Kuznetsova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Т. Yu. Kuznetsova more than expected).
Fields of papers citing papers by Т. Yu. Kuznetsova
This network shows the impact of papers produced by Т. Yu. Kuznetsova. 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 Т. Yu. Kuznetsova. The network helps show where Т. Yu. Kuznetsova may publish in the future.
Co-authorship network of co-authors of Т. Yu. Kuznetsova
This figure shows the co-authorship network connecting the top 25 collaborators of Т. Yu. Kuznetsova. A scholar is included among the top collaborators of Т. Yu. Kuznetsova 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 Т. Yu. Kuznetsova. Т. Yu. Kuznetsova 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | [The Familial Hypercholesterolemia Caused by a Novel Human Low Density Lipoprotein Receptor Gene Mutation c.1327 T>C (p.W433R)]. | 2 |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 3 |
About Т. Yu. Kuznetsova
Т. Yu. Kuznetsova is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Health Information Management, having authored 58 papers that have together received 215 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (18 papers), Healthcare Systems and Public Health (15 papers) and Lipoproteins and Cardiovascular Health (14 papers). The work is most often cited by research in Health Informatics (7 citations), Cardiology and Cardiovascular Medicine (111 citations) and Epidemiology (71 citations). Т. Yu. Kuznetsova has collaborated with scholars based in Russia, India and South Korea. Frequent co-authors include Г. А. Чумакова, Ulrich Julius, V. B. Vasilyev, M. Yu. Mandelshtam, О. М. Драпкина, S. А. Boytsov, Dmitry Korzun, A. Yu. Meigal, О. В. Игнатенко and Andrey V. Susekov. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and Atherosclerosis.
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.