Galina Lipskaya
- Cardiology and Cardiovascular Medicine top 5%
- Infectious Diseases top 5%
- Epidemiology
- Animal Science and Zoology top 5%
- Plant Science
- Co-authors
- Olen M. KewVadim I. AgolMick N. MuldersElena CherkasovaEdson E. da SilvaSvetlana V. MaslovaS. G. DrozdovOlga E. Ivanova
- Topics
- Viral Infections and Immunology Research (20 papers)Viral gastroenteritis research and epidemiology (9 papers)Virology and Viral Diseases (6 papers)
- Partner nations
- RussiaUnited StatesDenmark
In The Last Decade
Galina Lipskaya
27 papers receiving 659 citations
Peers
Comparison fields: 5 of 49
- Cardiology and Cardiovascular Medicine 509
- Infectious Diseases 467
- Epidemiology 204
- Animal Science and Zoology 108
- Plant Science 91
Countries citing papers authored by Galina Lipskaya
This map shows the geographic impact of Galina Lipskaya'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 Galina Lipskaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galina Lipskaya more than expected).
Fields of papers citing papers by Galina Lipskaya
This network shows the impact of papers produced by Galina Lipskaya. 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 Galina Lipskaya. The network helps show where Galina Lipskaya may publish in the future.
Co-authorship network of co-authors of Galina Lipskaya
This figure shows the co-authorship network connecting the top 25 collaborators of Galina Lipskaya. A scholar is included among the top collaborators of Galina Lipskaya 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 Galina Lipskaya. Galina Lipskaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 42 | |
| 3 | 13 | |
| 4 | 27 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | 47 | |
| 10 | 52 | |
| 11 | 94 | |
| 12 | 53 | |
| 13 | 115 | |
| 14 | 20 | |
| 15 | 73 | |
| 16 | Molecular epidemiology of poliomyelitis: characterization of strains isolated from patients in Moscow in 1973-86. | 1 |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 7 |
About Galina Lipskaya
Galina Lipskaya is a scholar working on Cardiology and Cardiovascular Medicine, Gastroenterology and Infectious Diseases, having authored 27 papers that have together received 691 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (20 papers), Viral gastroenteritis research and epidemiology (9 papers) and Virology and Viral Diseases (6 papers). The work is most often cited by research in Infectious Diseases (467 citations), Cardiology and Cardiovascular Medicine (509 citations) and Animal Science and Zoology (108 citations). Galina Lipskaya has collaborated with scholars based in Russia, United States and Denmark. Frequent co-authors include Olen M. Kew, Vadim I. Agol, Mick N. Mulders, Elena Cherkasova, Edson E. da Silva, Svetlana V. Maslova, S. G. Drozdov, Olga E. Ivanova, John S. Spika and Е. А. Короткова. Their work appears in journals such as Journal of Virology, American Journal of Epidemiology and The Journal of Infectious Diseases.
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.