Hilla Weidberg
- Physiology top 1%
- Calcium signaling and nucleotide metabolism 3
- Epidemiology top 1%
- Autophagy in Disease and Therapy 10
- Cell Biology top 2%
- Cellular transport and secretion 4
- Endoplasmic Reticulum Stress and Disease 2
- Aging top 5%
- Parasitology top 5%
- Toxoplasma gondii Research Studies 2
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- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Zvulun ElazarElena ShvetsTomer ShpilkaFrida ShimronAngelika AmonShmuel PietrokovskiVera ShinderAdi Abada
- Cited by
- PhysiologyEpidemiologyCell Biology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Hilla Weidberg
17 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Physiology 311
- Epidemiology 1.7k
- Cell Biology 747
- Aging 73
- Parasitology 185
Countries citing papers authored by Hilla Weidberg
This map shows the geographic impact of Hilla Weidberg'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 Hilla Weidberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hilla Weidberg more than expected).
Fields of papers citing papers by Hilla Weidberg
This network shows the impact of papers produced by Hilla Weidberg. 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 Hilla Weidberg. The network helps show where Hilla Weidberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hilla Weidberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 16 | |
| 3 | 2021 | 73 | |
| 4 | 2018 | 255 | |
| 5 | 2018 | 7 | |
| 6 | 2016 | 34 | |
| 7 | 2012 | 25 | |
| 8 | 2011 | 257 | |
| 9 | 2011 | 53 | |
| 10 | Atg8: an autophagy-related ubiquitin-like protein familybreakdown → | 2011 | 405 |
| 11 | 2011 | 26 | |
| 12 | 2011 | 374 | |
| 13 | 2011 | 117 | |
| 14 | LC3 and GATE‐16/GABARAP subfamilies are both essential yet act differently in autophagosome biogenesisbreakdown → | 2010 | 597 |
| 15 | 2010 | 11 | |
| 16 | 2010 | 193 | |
| 17 | 2009 | 67 |
About Hilla Weidberg
Hilla Weidberg is a scholar working on Physiology, Aging and Cell Biology, having authored 17 papers that have together received 2.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Mitochondrial Function and Pathology (4 papers), Cellular transport and secretion (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers), Toxoplasma gondii Research Studies (2 papers), Epigenetics and DNA Methylation (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Physiology (311 citations), Epidemiology (1.7k citations) and Cell Biology (747 citations). Hilla Weidberg has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Zvulun Elazar, Elena Shvets, Tomer Shpilka, Frida Shimron, Angelika Amon, Shmuel Pietrokovski, Vera Shinder, Adi Abada, Ruth Scherz‐Shouval and Moshe Oren. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.