Elena Vasilieva
- Molecular Biology
- Immunology top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Infectious Diseases top 10%
- Co-authors
- Leonid MargolisMichael L. FreemanA. ShpektorWendy FitzgeraldMichael M. LedermanRoberto RomeroJean‐Charles GrivelOxana Ivanova
- Topics
- Atherosclerosis and Cardiovascular Diseases (15 papers)Blood properties and coagulation (8 papers)COVID-19 Clinical Research Studies (8 papers)
- Journals
- CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- RussiaUnited StatesQatar
In The Last Decade
Elena Vasilieva
70 papers receiving 988 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 440
- Immunology 320
- Epidemiology 186
- Cardiology and Cardiovascular Medicine 146
- Infectious Diseases 138
Countries citing papers authored by Elena Vasilieva
This map shows the geographic impact of Elena 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 Elena Vasilieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Vasilieva more than expected).
Fields of papers citing papers by Elena Vasilieva
This network shows the impact of papers produced by Elena 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 Elena Vasilieva. The network helps show where Elena Vasilieva may publish in the future.
Co-authorship network of co-authors of Elena Vasilieva
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Vasilieva. A scholar is included among the top collaborators of Elena 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 Elena Vasilieva. Elena 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 44 | |
| 9 | 0 | |
| 10 | 26 | |
| 11 | Methodology for compiling a clinical situation task and a checklist for a professionally based exam | 0 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About Elena Vasilieva
Elena Vasilieva is a scholar working on Immunology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Blood properties and coagulation (8 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Immunology (320 citations), Virology (37 citations) and Developmental Neuroscience (31 citations). Elena Vasilieva has collaborated with scholars based in Russia, United States and Qatar. Frequent co-authors include Leonid Margolis, Michael L. Freeman, A. Shpektor, Wendy Fitzgerald, Michael M. Lederman, Roberto Romero, Jean‐Charles Grivel, Oxana Ivanova, Аnna Lebedeva and Cynthia M. Dupureur. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.