T. L. Nemirovskaya
- Molecular Biology
- Physiology top 10%
- Cell Biology top 10%
- Rehabilitation top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Б. С. ШенкманС. П. БеловаBoris ShenkmanElizabeth ShenkmanО. V. TurtikovaTatiana Y. KostrominovaТ. М. МирзоевYulia Lomonosova
- Topics
- Muscle Physiology and Disorders (44 papers)Muscle metabolism and nutrition (22 papers)Exercise and Physiological Responses (18 papers)
- Cited by
- RehabilitationPhysiologyCell Biology
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
T. L. Nemirovskaya
64 papers receiving 663 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 454
- Physiology 350
- Cell Biology 202
- Rehabilitation 131
- Cellular and Molecular Neuroscience 129
Countries citing papers authored by T. L. Nemirovskaya
This map shows the geographic impact of T. L. Nemirovskaya'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 T. L. Nemirovskaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. L. Nemirovskaya more than expected).
Fields of papers citing papers by T. L. Nemirovskaya
This network shows the impact of papers produced by T. L. Nemirovskaya. 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 T. L. Nemirovskaya. The network helps show where T. L. Nemirovskaya may publish in the future.
Co-authorship network of co-authors of T. L. Nemirovskaya
This figure shows the co-authorship network connecting the top 25 collaborators of T. L. Nemirovskaya. A scholar is included among the top collaborators of T. L. Nemirovskaya 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 T. L. Nemirovskaya. T. L. Nemirovskaya 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 | 12 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | Differences in the Role of HDACs 4 and 5 in the Modulation of Processes Regulating MAFbx and MuRF1 Expression during Muscle Unloading | 0 |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 63 | |
| 17 | Non-uniform shifts in MHC and SERCA isoform patterns in unloaded rat soleus: Effects of Ca-binding agent | 2 |
| 18 | Tenotomy of m.soleus antagonists prevents the changes in fiber type characteristics and sarcomeric cytoskeletal proteins in unloaded rats | 1 |
| 19 | 6 | |
| 20 | 21 |
About T. L. Nemirovskaya
T. L. Nemirovskaya is a scholar working on Rehabilitation, Cell Biology and Physiology, having authored 70 papers that have together received 673 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (44 papers), Muscle metabolism and nutrition (22 papers) and Exercise and Physiological Responses (18 papers). The work is most often cited by research in Rehabilitation (131 citations), Physiology (350 citations) and Cell Biology (202 citations). T. L. Nemirovskaya has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Б. С. Шенкман, С. П. Белова, Boris Shenkman, Elizabeth Shenkman, О. V. Turtikova, Tatiana Y. Kostrominova, Т. М. Мирзоев, Yulia Lomonosova, Kristina A. Sharlo and Natalia A. Vilchinskaya. Their work appears in journals such as The Journal of Physiology, Scientific Reports and Journal of Applied Physiology.
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.