Limor Broday
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 15
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 6
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 4
- CRISPR and Genetic Engineering 3
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease 9
-
- Circadian rhythm and melatonin 4
- Co-authors
- Max CostaDana HarevenEliezer LifschitzZe’ev A. RonaiLilac PnueliKonstantin SalnikowAnindita BhoumikC. Hurwitz
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Molecular and Cellular Biology (4 papers)Free Radical Biology and Medicine (3 papers)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (2 papers)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Limor Broday
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Aging 201
- Molecular Biology 1.0k
- Cell Biology 190
- Health, Toxicology and Mutagenesis 151
- Cancer Research 146
Countries citing papers authored by Limor Broday
This map shows the geographic impact of Limor Broday'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 Limor Broday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limor Broday more than expected).
Fields of papers citing papers by Limor Broday
This network shows the impact of papers produced by Limor Broday. 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 Limor Broday. The network helps show where Limor Broday may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Limor Broday, 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 | 4 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 7 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 48 | |
| 8 | 2015 | 23 | |
| 9 | 2012 | 88 | |
| 10 | 2011 | 3 | |
| 11 | 2011 | 4 | |
| 12 | 2010 | 21 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 82 | |
| 15 | 2008 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2004 | 66 | |
| 18 | 1999 | 23 | |
| 19 | 1999 | 27 | |
| 20 | 1998 | 74 |
About Limor Broday
Limor Broday is a scholar working on Aging, Cell Biology, Endocrine and Autonomic Systems, Applied Microbiology and Biotechnology and Molecular Biology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (4 papers), Circadian rhythm and melatonin (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Aging (201 citations), Molecular Biology (1.0k citations), Cell Biology (190 citations), Health, Toxicology and Mutagenesis (151 citations) and Cancer Research (146 citations). Limor Broday has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Max Costa, Dana Hareven, Eliezer Lifschitz, Ze’ev A. Ronai, Lilac Pnueli, Konstantin Salnikow, Anindita Bhoumik, C. Hurwitz, Yong‐Woo Lee and Maria Antonietta Zoroddu. Their work appears in journals such as Molecular and Cellular Biology, Free Radical Biology and Medicine, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, PLoS Genetics and Molecular and Cellular Biochemistry.
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.