Sara Vidoni

3.4k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

Sara Vidoni is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Sara Vidoni has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Clinical Biochemistry and 3 papers in Physiology. Recurrent topics in Sara Vidoni's work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (8 papers) and Metabolism and Genetic Disorders (8 papers). Sara Vidoni is often cited by papers focused on Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (8 papers) and Metabolism and Genetic Disorders (8 papers). Sara Vidoni collaborates with scholars based in United Kingdom, United States and Italy. Sara Vidoni's co-authors include Claudia Zanna, Michela Rugolo, Valério Carelli, Lawrence Kazak, Edward T. Chouchani, Ryan Garrity, Michael P. Murphy, Guy Lenaers, Mark P. Jedrychowski and Anna Ghelli and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Sara Vidoni

18 papers receiving 1.9k citations

Hit Papers

Accumulation of succinate controls activation of adipose ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Vidoni United Kingdom 16 1.4k 509 392 200 139 18 1.9k
Jason E. Kokoszka United States 6 1.4k 1.0× 414 0.8× 244 0.6× 162 0.8× 107 0.8× 8 1.8k
Rubén Quintana–Cabrera Spain 18 1.9k 1.3× 361 0.7× 435 1.1× 284 1.4× 179 1.3× 20 2.3k
Domenico De Rasmo Italy 30 1.6k 1.1× 392 0.8× 231 0.6× 251 1.3× 109 0.8× 50 2.2k
Sara Cogliati Spain 14 1.9k 1.4× 402 0.8× 427 1.1× 250 1.3× 244 1.8× 21 2.4k
Verónica Eisner Chile 20 1.5k 1.1× 459 0.9× 269 0.7× 237 1.2× 233 1.7× 34 2.0k
Stéphane Duvezin‐Caubet France 20 1.9k 1.3× 282 0.6× 368 0.9× 340 1.7× 142 1.0× 29 2.2k
Alberto Casarin Italy 18 2.1k 1.4× 412 0.8× 400 1.0× 194 1.0× 186 1.3× 28 2.7k
Maria Nicola Gadaleta Italy 28 1.5k 1.0× 433 0.9× 468 1.2× 136 0.7× 102 0.7× 47 1.9k
Hana Hansíková Czechia 26 1.6k 1.1× 291 0.6× 519 1.3× 81 0.4× 106 0.8× 131 2.0k
Nina A. Bonekamp Germany 21 1.6k 1.1× 256 0.5× 301 0.8× 221 1.1× 104 0.7× 27 1.9k

Countries citing papers authored by Sara Vidoni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sara Vidoni

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Vidoni. A scholar is included among the top collaborators of Sara Vidoni 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 Sara Vidoni. Sara Vidoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Sun, Yizhi, Janane F. Rahbani, Mark P. Jedrychowski, et al.. (2021). Mitochondrial TNAP controls thermogenesis by hydrolysis of phosphocreatine. Nature. 593(7860). 580–585. 78 indexed citations
2.
Reyes, Aurelio, et al.. (2020). RCC1L (WBSCR16) isoforms coordinate mitochondrial ribosome assembly through their interaction with GTPases. PLoS Genetics. 16(7). e1008923–e1008923. 17 indexed citations
3.
Bertholet, Ambre M., Edward T. Chouchani, Lawrence Kazak, et al.. (2019). H+ transport is an integral function of the mitochondrial ADP/ATP carrier. Nature. 571(7766). 515–520. 190 indexed citations
4.
Mills, Evanna L., Kerry A. Pierce, Mark P. Jedrychowski, et al.. (2018). Accumulation of succinate controls activation of adipose tissue thermogenesis. Nature. 560(7716). 102–106. 376 indexed citations breakdown →
5.
Iommarini, Luisa, Anna Ghelli, Ivana Kurelac, et al.. (2018). Unravelling the Effects of the Mutation m.3571insC/MT-ND1 on Respiratory Complexes Structural Organization. International Journal of Molecular Sciences. 19(3). 764–764. 12 indexed citations
6.
Shchepinova, Maria M., Andrew G. Cairns, Tracy A. Prime, et al.. (2017). MitoNeoD: A Mitochondria-Targeted Superoxide Probe. Cell chemical biology. 24(10). 1285–1298.e12. 79 indexed citations
7.
Dotto, Valentina Del, Prashant Mishra, Sara Vidoni, et al.. (2017). OPA1 Isoforms in the Hierarchical Organization of Mitochondrial Functions. Cell Reports. 19(12). 2557–2571. 171 indexed citations
8.
Vidoni, Sara, Michael E. Harbour, Sergio Guerrero‐Castillo, et al.. (2017). MR-1S Interacts with PET100 and PET117 in Module-Based Assembly of Human Cytochrome c Oxidase. Cell Reports. 18(7). 1727–1738. 81 indexed citations
9.
Rosa, Ilaria Dalla, Yolanda Cámara, Romina Durigon, et al.. (2016). MPV17 Loss Causes Deoxynucleotide Insufficiency and Slow DNA Replication in Mitochondria. PLoS Genetics. 12(1). e1005779–e1005779. 88 indexed citations
10.
Logan, Angela, Victoria R. Pell, Karl J. Shaffer, et al.. (2015). Assessing the Mitochondrial Membrane Potential in Cells and In Vivo using Targeted Click Chemistry and Mass Spectrometry. Cell Metabolism. 23(2). 379–385. 84 indexed citations
11.
Johnson, Mark, Sara Vidoni, Romina Durigon, et al.. (2014). Amino Acid Starvation Has Opposite Effects on Mitochondrial and Cytosolic Protein Synthesis. PLoS ONE. 9(4). e93597–e93597. 47 indexed citations
12.
Rosa, Ilaria Dalla, Romina Durigon, Sarah F. Pearce, et al.. (2014). MPV17L2 is required for ribosome assembly in mitochondria. Nucleic Acids Research. 42(13). 8500–8515. 53 indexed citations
13.
Vidoni, Sara, Claudia Zanna, Michela Rugolo, Emmanuelle Sarzi, & Guy Lenaers. (2013). Why Mitochondria Must Fuse to Maintain Their Genome Integrity. Antioxidants and Redox Signaling. 19(4). 379–388. 42 indexed citations
14.
Maresca, Alessandra, Claudia Zanna, Sara Vidoni, et al.. (2012). OPA3, a new regulator of mitochondrial fission?. Mitochondrion. 12(5). 571–571. 2 indexed citations
15.
Elachouri, Ghizlane, Sara Vidoni, Claudia Zanna, et al.. (2010). OPA1 links human mitochondrial genome maintenance to mtDNA replication and distribution. Genome Research. 21(1). 12–20. 178 indexed citations
16.
Ghelli, Anna, Anna Maria Porcelli, Claudia Zanna, et al.. (2009). The Background of Mitochondrial DNA Haplogroup J Increases the Sensitivity of Leber's Hereditary Optic Neuropathy Cells to 2,5-Hexanedione Toxicity. PLoS ONE. 4(11). e7922–e7922. 77 indexed citations
17.
Morgia, Chiara La, Alessandro Achilli, Luisa Iommarini, et al.. (2008). Rare mtDNA variants in Leber hereditary optic neuropathy families with recurrence of myoclonus. Neurology. 70(10). 762–770. 60 indexed citations
18.
Zanna, Claudia, Anna Ghelli, Anna Maria Porcelli, et al.. (2007). OPA1 mutations associated with dominant optic atrophy impair oxidative phosphorylation and mitochondrial fusion. Brain. 131(2). 352–367. 248 indexed citations

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.

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