Elena V. Zagaynova
- Biomedical Engineering top 1%
- Molecular Biology top 10%
- Biophysics top 0.2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Marina V. ShirmanovaNatalia D. GladkovaVarvara V. DudenkovaMarina A. SirotkinaMaria M. LukinaGrigory V. GelikonovLudmila B. SnopovaKonstantin A. Lukyanov
- Topics
- Optical Coherence Tomography Applications (59 papers)Photoacoustic and Ultrasonic Imaging (49 papers)Advanced Fluorescence Microscopy Techniques (42 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
In The Last Decade
Elena V. Zagaynova
199 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Biomedical Engineering 1.9k
- Molecular Biology 932
- Biophysics 771
- Radiology, Nuclear Medicine and Imaging 640
- Pulmonary and Respiratory Medicine 478
Countries citing papers authored by Elena V. Zagaynova
This map shows the geographic impact of Elena V. Zagaynova'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 V. Zagaynova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena V. Zagaynova more than expected).
Fields of papers citing papers by Elena V. Zagaynova
This network shows the impact of papers produced by Elena V. Zagaynova. 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 V. Zagaynova. The network helps show where Elena V. Zagaynova may publish in the future.
Co-authorship network of co-authors of Elena V. Zagaynova
This figure shows the co-authorship network connecting the top 25 collaborators of Elena V. Zagaynova. A scholar is included among the top collaborators of Elena V. Zagaynova 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 V. Zagaynova. Elena V. Zagaynova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 57 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | Tissue-Engineered Skin Constructs and Application of Stem Cells for Creation of Skin Equivalents (Review) | 2 |
| 15 | 59 | |
| 16 | 68 | |
| 17 | 17 | |
| 18 | 31 | |
| 19 | 14 | |
| 20 | 11 |
About Elena V. Zagaynova
Elena V. Zagaynova is a scholar working on Biophysics, Biomedical Engineering and Structural Biology, having authored 206 papers that have together received 3.4k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (59 papers), Photoacoustic and Ultrasonic Imaging (49 papers) and Advanced Fluorescence Microscopy Techniques (42 papers). The work is most often cited by research in Biophysics (771 citations), Biomedical Engineering (1.9k citations) and Radiology, Nuclear Medicine and Imaging (640 citations). Elena V. Zagaynova has collaborated with scholars based in Russia, Germany and Canada. Frequent co-authors include Marina V. Shirmanova, Natalia D. Gladkova, Varvara V. Dudenkova, Marina A. Sirotkina, Maria M. Lukina, Grigory V. Gelikonov, Ludmila B. Snopova, Konstantin A. Lukyanov, Felix I. Feldchtein and Irina Druzhkova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology 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.