Mark A. Zabezhinski
- Molecular Biology top 10%
- Physiology top 2%
- Aging top 0.2%
- Endocrine and Autonomic Systems top 0.5%
- Oncology top 10%
- Co-authors
- Vladimir N. AnisimovIrina G. PopovichAnna V. SemenchenkoTatiana S. PiskunovaM. N. YurovaMargarita L. TyndykPeter A. EgorminLev M. Berstein
- Topics
- Circadian rhythm and melatonin (20 papers)Genetics, Aging, and Longevity in Model Organisms (16 papers)Carcinogens and Genotoxicity Assessment (8 papers)
- Journals
- Environmental Health PerspectivesAnnals of the New York Academy of SciencesAmerican Journal Of Pathology
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
Mark A. Zabezhinski
57 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Physiology 946
- Aging 806
- Endocrine and Autonomic Systems 800
- Oncology 337
Countries citing papers authored by Mark A. Zabezhinski
This map shows the geographic impact of Mark A. Zabezhinski'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 Mark A. Zabezhinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Zabezhinski more than expected).
Fields of papers citing papers by Mark A. Zabezhinski
This network shows the impact of papers produced by Mark A. Zabezhinski. 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 Mark A. Zabezhinski. The network helps show where Mark A. Zabezhinski may publish in the future.
Co-authorship network of co-authors of Mark A. Zabezhinski
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Zabezhinski. A scholar is included among the top collaborators of Mark A. Zabezhinski 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 Mark A. Zabezhinski. Mark A. Zabezhinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 11 | |
| 3 | 262 | |
| 4 | 142 | |
| 5 | 273 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 207 | |
| 9 | 324 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 27 | |
| 15 | 56 | |
| 16 | The effect of light regimen and melatonin on the development of spontaneous mammary tumors in HER-2/neu transgenic mice is related to a downregulation of HER-2/neu gene expression. | 32 |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 22 |
About Mark A. Zabezhinski
Mark A. Zabezhinski is a scholar working on Aging, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (20 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers) and Carcinogens and Genotoxicity Assessment (8 papers). The work is most often cited by research in Aging (806 citations), Endocrine and Autonomic Systems (800 citations) and Geriatrics and Gerontology (182 citations). Mark A. Zabezhinski has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Vladimir N. Anisimov, Irina G. Popovich, Anna V. Semenchenko, Tatiana S. Piskunova, M. N. Yurova, Margarita L. Tyndyk, Peter A. Egormin, Lev M. Berstein, И. Г. Коваленко and И. А. Виноградова. Their work appears in journals such as Environmental Health Perspectives, Annals of the New York Academy of Sciences and American Journal Of Pathology.
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.