Sara Vidoni
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Molecular Biology top 5%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
Papers in
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- Mitochondrial Function and Pathology 16
- ATP Synthase and ATPases Research 7
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
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- Metabolism and Genetic Disorders 6
- Co-authors
- Michela Rugolo (7 shared papers)Claudia Zanna (7 shared papers)Valério Carelli (6 shared papers)Lawrence Kazak (3 shared papers)Edward T. Chouchani (2 shared papers)Ryan Garrity (2 shared papers)Guy Lenaers (4 shared papers)Michael P. Murphy (3 shared papers)
- Journals
- Nature (3 papers)PLoS ONE (2 papers)Cell Reports (2 papers)PLoS Genetics (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Sara Vidoni
18 papers receiving 1.9k citations
Sara Vidoni's Hit Papers
Peers
Comparison fields: 5 of 109
- Clinical Biochemistry 386
- Molecular Biology 1.4k
- Physiology 488
- Aging 23
- Biochemistry 83
Countries citing papers authored by Sara Vidoni
This map shows the geographic impact of Sara Vidoni'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 Sara Vidoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Vidoni more than expected).
Fields of papers citing papers by Sara Vidoni
This network shows the impact of papers produced by Sara Vidoni. 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 Sara Vidoni. The network helps show where Sara Vidoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Vidoni, 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 | Accumulation of succinate controls activation of adipose tissue thermogenesis Hit paper breakdown → | 2018 | 391 |
| 2 | 2007 | 257 | |
| 3 | 2019 | 199 | |
| 4 | 2010 | 186 | |
| 5 | 2017 | 179 | |
| 6 | 2016 | 92 | |
| 7 | 2015 | 88 | |
| 8 | 2017 | 85 | |
| 9 | 2017 | 82 | |
| 10 | 2021 | 82 | |
| 11 | 2009 | 78 | |
| 12 | 2008 | 61 | |
| 13 | 2014 | 54 | |
| 14 | 2014 | 48 | |
| 15 | 2013 | 45 | |
| 16 | 2020 | 17 | |
| 17 | 2018 | 13 | |
| 18 | 2012 | 2 |
About Sara Vidoni
Sara Vidoni is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Cell Biology and Organic Chemistry, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (7 papers), Metabolism and Genetic Disorders (6 papers), RNA modifications and cancer (3 papers), Adipose Tissue and Metabolism (3 papers), RNA and protein synthesis mechanisms (2 papers), Muscle metabolism and nutrition (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (386 citations), Molecular Biology (1.4k citations), Physiology (488 citations), Aging (23 citations) and Biochemistry (83 citations). Sara Vidoni has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michela Rugolo, Claudia Zanna, Valério Carelli, Lawrence Kazak, Edward T. Chouchani, Ryan Garrity, Guy Lenaers, Michael P. Murphy, Anna Maria Porcelli and Mark P. Jedrychowski. Their work appears in journals such as Nature, PLoS ONE, Cell Reports, PLoS Genetics and International Journal of Molecular Sciences.
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.