Irena Levitan
- Molecular Biology top 10%
- Cell Biology top 5%
- Physiology top 10%
- Surgery
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Raphael ZidovetzkiVictor G. RomanenkoGeorge H. RothblatFitzroy J. ByfieldHelim Aranda‐EspinozaTzu‐Pin ShentuDaesung LeeSusan S. Margulies
- Topics
- Lipid Membrane Structure and Behavior (12 papers)Cholesterol and Lipid Metabolism (4 papers)Force Microscopy Techniques and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiophysical JournalNature Chemical Biology
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Irena Levitan
15 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.1k
- Cell Biology 352
- Physiology 213
- Surgery 211
- Cellular and Molecular Neuroscience 172
Countries citing papers authored by Irena Levitan
This map shows the geographic impact of Irena Levitan'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 Irena Levitan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irena Levitan more than expected).
Fields of papers citing papers by Irena Levitan
This network shows the impact of papers produced by Irena Levitan. 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 Irena Levitan. The network helps show where Irena Levitan may publish in the future.
Co-authorship network of co-authors of Irena Levitan
This figure shows the co-authorship network connecting the top 25 collaborators of Irena Levitan. A scholar is included among the top collaborators of Irena Levitan 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 Irena Levitan. Irena Levitan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 9 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 182 | |
| 6 | 20 | |
| 7 | 3 | |
| 8 | 32 | |
| 9 | 54 | |
| 10 | Use of cyclodextrins to manipulate plasma membrane cholesterol content: Evidence, misconceptions and control strategiesbreakdown → | 887 |
| 11 | 30 | |
| 12 | 190 | |
| 13 | 37 | |
| 14 | 66 | |
| 15 | 9 |
About Irena Levitan
Irena Levitan is a scholar working on Immunology and Allergy, Molecular Biology and Biophysics, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (12 papers), Cholesterol and Lipid Metabolism (4 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Cell Biology (352 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (172 citations). Irena Levitan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Raphael Zidovetzki, Victor G. Romanenko, George H. Rothblat, Fitzroy J. Byfield, Helim Aranda‐Espinoza, Tzu‐Pin Shentu, Daesung Lee, Susan S. Margulies, Robert A. Winn and Wonhwa Cho. Their work appears in journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Nature Chemical Biology.
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.