Carmela Sidrauski
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Epidemiology top 5%
- Physiology top 10%
- Immunology top 10%
- Co-authors
- Peter WalterJeffery S. CoxAnna McGeachyNicholas T. IngoliaRandal J. KaufmanMaho NiwaBrian R. HearnP. Vedantham
- Topics
- RNA regulation and disease (13 papers)Endoplasmic Reticulum Stress and Disease (12 papers)RNA Research and Splicing (7 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Carmela Sidrauski
21 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.3k
- Cell Biology 2.0k
- Epidemiology 733
- Physiology 326
- Immunology 325
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 of co-authors of Carmela Sidrauski
This figure shows the co-authorship network connecting the top 25 collaborators of Carmela Sidrauski. A scholar is included among the top collaborators of Carmela Sidrauski 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 Carmela Sidrauski. Carmela Sidrauski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 86 | |
| 6 | 16 | |
| 7 | 83 | |
| 8 | 20 | |
| 9 | 48 | |
| 10 | 187 | |
| 11 | The small molecule ISRIB reverses the effects of eIF2α phosphorylation on translation and stress granule assemblybreakdown → | 456 |
| 12 | 51 | |
| 13 | 153 | |
| 14 | 6 | |
| 15 | 232 | |
| 16 | 221 | |
| 17 | 233 | |
| 18 | The Transmembrane Kinase Ire1p Is a Site-Specific Endonuclease That Initiates mRNA Splicing in the Unfolded Protein Responsebreakdown → | 692 |
| 19 | 349 | |
| 20 | 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) and RNA Research and Splicing (7 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.