M. N. Yurova
- Molecular Biology top 10%
- Aging top 0.2%
- Physiology top 5%
- Endocrine and Autonomic Systems top 5%
- Oncology
- Co-authors
- Vladimir N. AnisimovIrina G. PopovichMark A. ZabezhinskiMargarita L. TyndykTatiana S. PiskunovaAnna V. SemenchenkoPeter A. EgorminMikhail V. Blagosklonny
- Topics
- Genetics, Aging, and Longevity in Model Organisms (8 papers)Metabolism, Diabetes, and Cancer (6 papers)Circadian rhythm and melatonin (5 papers)
- Partner nations
- RussiaUnited StatesNetherlands
In The Last Decade
M. N. Yurova
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 862
- Aging 572
- Physiology 570
- Endocrine and Autonomic Systems 233
- Oncology 173
Countries citing papers authored by M. N. Yurova
This map shows the geographic impact of M. N. Yurova'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 M. N. Yurova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. N. Yurova more than expected).
Fields of papers citing papers by M. N. Yurova
This network shows the impact of papers produced by M. N. Yurova. 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 M. N. Yurova. The network helps show where M. N. Yurova may publish in the future.
Co-authorship network of co-authors of M. N. Yurova
This figure shows the co-authorship network connecting the top 25 collaborators of M. N. Yurova. A scholar is included among the top collaborators of M. N. Yurova 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 M. N. Yurova. M. N. Yurova 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 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | [Age dynamics of angiogenesis markers in transgenic HER-2/neu (FBV/N) mammary adenocarcinoma-prone mice]. | 1 |
| 13 | 19 | |
| 14 | 63 | |
| 15 | 38 | |
| 16 | 11 | |
| 17 | 262 | |
| 18 | 9 | |
| 19 | 142 | |
| 20 | 273 |
About M. N. Yurova
M. N. Yurova is a scholar working on Aging, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Metabolism, Diabetes, and Cancer (6 papers) and Circadian rhythm and melatonin (5 papers). The work is most often cited by research in Aging (572 citations), Geriatrics and Gerontology (147 citations) and Endocrine and Autonomic Systems (233 citations). M. N. Yurova has collaborated with scholars based in Russia, United States and Netherlands. Frequent co-authors include Vladimir N. Anisimov, Irina G. Popovich, Mark A. Zabezhinski, Margarita L. Tyndyk, Tatiana S. Piskunova, Anna V. Semenchenko, Peter A. Egormin, Mikhail V. Blagosklonny, И. Г. Коваленко and Lev M. Berstein. Their work appears in journals such as International Journal of Molecular Sciences, American Journal Of Pathology and Annals of Oncology.
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.