Natalya Vasilieva
- Infectious Diseases top 0.1%
- Molecular Biology top 5%
- Animal Science and Zoology top 0.5%
- Neurology top 1%
- Immunology top 5%
- Co-authors
- Hyeryun ChoeMichael FarzanWenhui LiMichael J. MooreJianhua SuiThomas C. GreenoughJohn L. SullivanMohan Somasundaran
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)HIV Research and Treatment (5 papers)Animal Virus Infections Studies (5 papers)
- Partner nations
- United StatesRussiaTunisia
In The Last Decade
Natalya Vasilieva
22 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Infectious Diseases 4.6k
- Molecular Biology 1.4k
- Animal Science and Zoology 966
- Neurology 911
- Immunology 840
Countries citing papers authored by Natalya Vasilieva
This map shows the geographic impact of Natalya Vasilieva'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 Natalya Vasilieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalya Vasilieva more than expected).
Fields of papers citing papers by Natalya Vasilieva
This network shows the impact of papers produced by Natalya Vasilieva. 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 Natalya Vasilieva. The network helps show where Natalya Vasilieva may publish in the future.
Co-authorship network of co-authors of Natalya Vasilieva
This figure shows the co-authorship network connecting the top 25 collaborators of Natalya Vasilieva. A scholar is included among the top collaborators of Natalya Vasilieva 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 Natalya Vasilieva. Natalya Vasilieva 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 | 15 | |
| 3 | 25 | |
| 4 | 18 | |
| 5 | 31 | |
| 6 | 62 | |
| 7 | 64 | |
| 8 | 67 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 289 | |
| 12 | Receptor and viral determinants of SARS‐coronavirus adaptation to human ACE2breakdown → | 735 |
| 13 | 113 | |
| 14 | 129 | |
| 15 | 180 | |
| 16 | 167 | |
| 17 | Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirusbreakdown → | 4328 |
| 18 | 52 | |
| 19 | 175 | |
| 20 | 124 |
About Natalya Vasilieva
Natalya Vasilieva is a scholar working on Virology, Animal Science and Zoology and Infectious Diseases, having authored 23 papers that have together received 7.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (5 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (4.6k citations), Animal Science and Zoology (966 citations) and Virology (307 citations). Natalya Vasilieva has collaborated with scholars based in United States, Russia and Tunisia. Frequent co-authors include Hyeryun Choe, Michael Farzan, Wenhui Li, Michael J. Moore, Jianhua Sui, Thomas C. Greenough, John L. Sullivan, Mohan Somasundaran, Swee Kee Wong and Katherine Luzuriaga. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.