L. A. Lyapina
- Molecular Biology
- Physiology
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Co-authors
- И. П. АшмаринГ. Е. СамонинаN. F. MyasoedovЛ. А. АндрееваА. А. БолдыревE. R. BulyginaN. G. LevitskayaИ. А. Гривенников
- Topics
- Neurological Disorders and Treatments (22 papers)Biochemical effects in animals (20 papers)Diet, Metabolism, and Disease (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaThrombosis and HaemostasisJournal of Thrombosis and Haemostasis
- Partner nations
- RussiaTajikistanGermany
In The Last Decade
L. A. Lyapina
71 papers receiving 438 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 202
- Physiology 114
- Neurology 83
- Cellular and Molecular Neuroscience 81
- Endocrinology, Diabetes and Metabolism 67
Countries citing papers authored by L. A. Lyapina
This map shows the geographic impact of L. A. Lyapina'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 L. A. Lyapina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. A. Lyapina more than expected).
Fields of papers citing papers by L. A. Lyapina
This network shows the impact of papers produced by L. A. Lyapina. 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 L. A. Lyapina. The network helps show where L. A. Lyapina may publish in the future.
Co-authorship network of co-authors of L. A. Lyapina
This figure shows the co-authorship network connecting the top 25 collaborators of L. A. Lyapina. A scholar is included among the top collaborators of L. A. Lyapina 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 L. A. Lyapina. L. A. Lyapina 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 | 0 | |
| 3 | 1 | |
| 4 | Lysine-containing peptides as promising antiplatelet drugs | 1 |
| 5 | 1 | |
| 6 | 8 | |
| 7 | The influence of the peptide PRO-ARG-GLY on the regulation of the fibrinolytic and insular systems of the body on the model of diabetes mellitus type 2 | 1 |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | Complex of high- and low molecular heparin with serotonin | 3 |
| 20 | Antithrombotic agent of extracts from peony roots | 5 |
About L. A. Lyapina
L. A. Lyapina is a scholar working on Neurology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 450 indexed citations. Recurring topics across this work include Neurological Disorders and Treatments (22 papers), Biochemical effects in animals (20 papers) and Diet, Metabolism, and Disease (12 papers). The work is most often cited by research in Neurology (83 citations), Endocrine and Autonomic Systems (38 citations) and Cellular and Molecular Neuroscience (81 citations). L. A. Lyapina has collaborated with scholars based in Russia, Tajikistan and Germany. Frequent co-authors include И. П. Ашмарин, Г. Е. Самонина, N. F. Myasoedov, Л. А. Андреева, А. А. Болдырев, E. R. Bulygina, N. G. Levitskaya, И. А. Гривенников, О. В. Долотов and W. Schöner. Their work appears in journals such as SHILAP Revista de lepidopterología, Thrombosis and Haemostasis and Journal of Thrombosis and Haemostasis.
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.