Natalie Larionova
- Co-authors
- Irina KiselevaLarisa RudenkoHan van den BoschIrina Isakova–SivakAndrzej GrajkowskiDaniel H. AppellaMichael C. MyersJohn M. Franck
- Topics
- Influenza Virus Research Studies (29 papers)Respiratory viral infections research (24 papers)Animal Disease Management and Epidemiology (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of PharmaceuticsOrganic Letters
- Partner nations
- RussiaUnited StatesCzechia
In The Last Decade
Natalie Larionova
32 papers receiving 318 citations
Peers
Comparison fields: 5 of 53
- Epidemiology 247
- Infectious Diseases 93
- Molecular Biology 76
- Immunology 64
- Agronomy and Crop Science 58
Countries citing papers authored by Natalie Larionova
This map shows the geographic impact of Natalie Larionova'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 Natalie Larionova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Larionova more than expected).
Fields of papers citing papers by Natalie Larionova
This network shows the impact of papers produced by Natalie Larionova. 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 Natalie Larionova. The network helps show where Natalie Larionova may publish in the future.
Co-authorship network of co-authors of Natalie Larionova
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Larionova. A scholar is included among the top collaborators of Natalie Larionova 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 Natalie Larionova. Natalie Larionova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 47 | |
| 14 | Leading role of genes coding polymerase complex in attenuation of domestic donor viruses for A and B Live Influenza Vaccine | 0 |
| 15 | 32 | |
| 16 | 17 | |
| 17 | [Genetic and phenotypic analysis of heterogeneous population of a cold-adapted donor of the A/Leningrad/134/17/57 (H2N2) attenuation and of the donor-based reassortant influenza vaccine strains]. | 2 |
| 18 | 6 | |
| 19 | 40 | |
| 20 | Preparation and characterization of microencapsulated proteinase inhibitor aprotinin. | 13 |
About Natalie Larionova
Natalie Larionova is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases, having authored 37 papers that have together received 327 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (24 papers) and Animal Disease Management and Epidemiology (9 papers). The work is most often cited by research in Epidemiology (247 citations), Agronomy and Crop Science (58 citations) and Infectious Diseases (93 citations). Natalie Larionova has collaborated with scholars based in Russia, United States and Czechia. Frequent co-authors include Irina Kiseleva, Larisa Rudenko, Han van den Bosch, Irina Isakova–Sivak, Andrzej Grajkowski, Daniel H. Appella, Michael C. Myers, John M. Franck, Russell D. Haynes and Toshiaki HARA. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Pharmaceutics and Organic Letters.
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.