Sarah E. Calvo
Impact in
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
-
- Metabolism and Genetic Disorders 20
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- Mitochondrial Function and Pathology 32
- RNA modifications and cancer 14
- ATP Synthase and ATPases Research 12
- RNA and protein synthesis mechanisms 7
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Vamsi K. MoothaDavid J. PagliariniKarl R. ClauserSteven A. CarrDavid R. ThorburnBetty ChangSunil A. ShethCanny Sugiana
- Journals
- Human Molecular Genetics (4 papers)Cell (4 papers)Mitochondrion (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Genetics (3 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Sarah E. Calvo
46 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Clinical Biochemistry 2.0k
- Molecular Biology 6.7k
- Aging 106
- Cancer Research 622
- Cell Biology 517
Countries citing papers authored by Sarah E. Calvo
This map shows the geographic impact of Sarah E. Calvo'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 Sarah E. Calvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Calvo more than expected).
Fields of papers citing papers by Sarah E. Calvo
This network shows the impact of papers produced by Sarah E. Calvo. 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 Sarah E. Calvo. The network helps show where Sarah E. Calvo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah E. Calvo, 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 | 2024 | 9 | |
| 2 | 2023 | 84 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 60 | |
| 5 | 2022 | 53 | |
| 6 | 2021 | 56 | |
| 7 | 2019 | 7 | |
| 8 | 2018 | 69 | |
| 9 | 2018 | 98 | |
| 10 | 2017 | 66 | |
| 11 | 2017 | 29 | |
| 12 | 2016 | 221 | |
| 13 | 2014 | 35 | |
| 14 | 2013 | 34 | |
| 15 | 2012 | 73 | |
| 16 | 2012 | 56 | |
| 17 | 2011 | 125 | |
| 18 | 2010 | 78 | |
| 19 | Upstream open reading frames cause widespread reduction of protein expression and are polymorphic among humans Hit paper breakdown → | 2009 | 664 |
| 20 | 2004 | 201 |
About Sarah E. Calvo
Sarah E. Calvo is a scholar working on Clinical Biochemistry, Molecular Biology, Cancer Research, Endocrinology and Microbiology, having authored 49 papers that have together received 7.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (32 papers), Metabolism and Genetic Disorders (20 papers), RNA modifications and cancer (14 papers), ATP Synthase and ATPases Research (12 papers), RNA and protein synthesis mechanisms (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Clinical Biochemistry (2.0k citations), Molecular Biology (6.7k citations), Aging (106 citations), Cancer Research (622 citations) and Cell Biology (517 citations). Sarah E. Calvo has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Vamsi K. Mootha, David J. Pagliarini, Karl R. Clauser, Steven A. Carr, David R. Thorburn, Betty Chang, Sunil A. Sheth, Canny Sugiana, Scott B. Vafai and David E. Hill. Their work appears in journals such as Human Molecular Genetics, Cell, Mitochondrion, Proceedings of the National Academy of Sciences and Nature Genetics.
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.