Tomer Shpilka
- Epidemiology top 1%
- Molecular Biology top 5%
- Cell Biology top 1%
- Physiology top 10%
- Physiology top 1%
- Co-authors
- Zvulun ElazarCole M. HaynesHilla WeidbergFrida ShimronElena ShvetsShmuel PietrokovskiVera ShinderAdi Abada
- Topics
- Autophagy in Disease and Therapy (9 papers)Mitochondrial Function and Pathology (5 papers)Endoplasmic Reticulum Stress and Disease (4 papers)
- Cited by
- AgingPhysiologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsNature Reviews Molecular Cell Biology
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Tomer Shpilka
17 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 1.7k
- Molecular Biology 1.3k
- Cell Biology 813
- Physiology 355
- Physiology 300
Countries citing papers authored by Tomer Shpilka
This map shows the geographic impact of Tomer Shpilka'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 Tomer Shpilka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomer Shpilka more than expected).
Fields of papers citing papers by Tomer Shpilka
This network shows the impact of papers produced by Tomer Shpilka. 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 Tomer Shpilka. The network helps show where Tomer Shpilka may publish in the future.
Co-authorship network of co-authors of Tomer Shpilka
This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Shpilka. A scholar is included among the top collaborators of Tomer Shpilka 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 Tomer Shpilka. Tomer Shpilka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 59 | |
| 3 | 9 | |
| 4 | 73 | |
| 5 | 8 | |
| 6 | The mitochondrial UPR: mechanisms, physiological functions and implications in ageingbreakdown → | 502 |
| 7 | 165 | |
| 8 | 57 | |
| 9 | 18 | |
| 10 | 382 | |
| 11 | 35 | |
| 12 | 104 | |
| 13 | 257 | |
| 14 | Atg8: an autophagy-related ubiquitin-like protein familybreakdown → | 405 |
| 15 | 1 | |
| 16 | LC3 and GATE‐16/GABARAP subfamilies are both essential yet act differently in autophagosome biogenesisbreakdown → | 597 |
| 17 | 11 |
About Tomer Shpilka
Tomer Shpilka is a scholar working on Aging, Biochemistry and Physiology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Mitochondrial Function and Pathology (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (181 citations), Physiology (300 citations) and Cell Biology (813 citations). Tomer Shpilka has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Zvulun Elazar, Cole M. Haynes, Hilla Weidberg, Frida Shimron, Elena Shvets, Shmuel Pietrokovski, Vera Shinder, Adi Abada, Evelyn Welter and Nira Amar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Reviews Molecular Cell 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.