Carmela Sidrauski
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 12
- Aging top 5%
- Molecular Biology top 5%
- RNA regulation and disease 13
- RNA Research and Splicing 7
- CRISPR and Genetic Engineering 5
- Receptor Mechanisms and Signaling 2
- RNA and protein synthesis mechanisms 2
- Biological Psychiatry top 10%
- Epidemiology top 5%
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- Neuroscience and Neuropharmacology Research 3
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- Viral Infections and Immunology Research 2
- Co-authors
- Peter WalterJeffery S. CoxAnna McGeachyNicholas T. IngoliaRandal J. KaufmanMaho NiwaBrian R. HearnP. Vedantham
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Carmela Sidrauski
21 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cell Biology 2.0k
- Aging 81
- Molecular Biology 2.3k
- Biological Psychiatry 61
- Epidemiology 733
Countries citing papers authored by Carmela Sidrauski
This map shows the geographic impact of Carmela Sidrauski'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 Carmela Sidrauski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmela Sidrauski more than expected).
Fields of papers citing papers by Carmela Sidrauski
This network shows the impact of papers produced by Carmela Sidrauski. 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 Carmela Sidrauski. The network helps show where Carmela Sidrauski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmela Sidrauski, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 12 | |
| 5 | 2021 | 86 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 83 | |
| 8 | 2016 | 20 | |
| 9 | 2016 | 48 | |
| 10 | 2015 | 187 | |
| 11 | The small molecule ISRIB reverses the effects of eIF2α phosphorylation on translation and stress granule assemblybreakdown → | 2015 | 456 |
| 12 | 2015 | 51 | |
| 13 | 2014 | 153 | |
| 14 | 2001 | 6 | |
| 15 | 1999 | 232 | |
| 16 | 1998 | 221 | |
| 17 | 1998 | 233 | |
| 18 | The Transmembrane Kinase Ire1p Is a Site-Specific Endonuclease That Initiates mRNA Splicing in the Unfolded Protein Responsebreakdown → | 1997 | 692 |
| 19 | 1996 | 349 | |
| 20 | 1995 | 3 |
About Carmela Sidrauski
Carmela Sidrauski is a scholar working on Cell Biology, Molecular Biology and Biochemistry, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA regulation and disease (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers), RNA Research and Splicing (7 papers), CRISPR and Genetic Engineering (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Viral Infections and Immunology Research (2 papers), Receptor Mechanisms and Signaling (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (2.0k citations), Aging (81 citations) and Molecular Biology (2.3k citations). Carmela Sidrauski has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter Walter, Peter Walter, Jeffery S. Cox, Anna McGeachy, Nicholas T. Ingolia, Randal J. Kaufman, Maho Niwa, Brian R. Hearn, P. Vedantham and Adam R. Renslo. Their work appears in journals such as Cell, 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.