Elena Shvets
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Physiology top 0.2%
- Physiology top 5%
- Co-authors
- Zvulun ElazarEphraim FassRuth Scherz‐ShouvalHilla WeidbergHagai ShorerTomer ShpilkaFrida ShimronVera Shinder
- Topics
- Autophagy in Disease and Therapy (14 papers)Caveolin-1 and cellular processes (6 papers)Ion Transport and Channel Regulation (4 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Elena Shvets
20 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Epidemiology 3.5k
- Molecular Biology 2.4k
- Cell Biology 1.5k
- Physiology 622
- Physiology 583
Countries citing papers authored by Elena Shvets
This map shows the geographic impact of Elena Shvets'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 Shvets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Shvets more than expected).
Fields of papers citing papers by Elena Shvets
This network shows the impact of papers produced by Elena Shvets. 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 Shvets. The network helps show where Elena Shvets may publish in the future.
Co-authorship network of co-authors of Elena Shvets
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Shvets. A scholar is included among the top collaborators of Elena Shvets 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 Shvets. Elena Shvets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 79 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 99 | |
| 6 | 71 | |
| 7 | 114 | |
| 8 | 257 | |
| 9 | 53 | |
| 10 | 374 | |
| 11 | LC3 and GATE‐16/GABARAP subfamilies are both essential yet act differently in autophagosome biogenesisbreakdown → | 597 |
| 12 | 11 | |
| 13 | 28 | |
| 14 | A Role for NBR1 in Autophagosomal Degradation of Ubiquitinated Substratesbreakdown → | 908 |
| 15 | 67 | |
| 16 | 42 | |
| 17 | 133 | |
| 18 | 134 | |
| 19 | Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4breakdown → | 1753 |
| 20 | 231 |
About Elena Shvets
Elena Shvets is a scholar working on Physiology, Cell Biology and Parasitology, having authored 20 papers that have together received 5.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Caveolin-1 and cellular processes (6 papers) and Ion Transport and Channel Regulation (4 papers). The work is most often cited by research in Physiology (622 citations), Epidemiology (3.5k citations) and Cell Biology (1.5k citations). Elena Shvets has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Zvulun Elazar, Ephraim Fass, Ruth Scherz‐Shouval, Hilla Weidberg, Hagai Shorer, Zvulun Elazar, Tomer Shpilka, Frida Shimron, Vera Shinder and Benjamin J. Nichols. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.
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.