Sara Sancho

1.9k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Sara Sancho is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Sara Sancho has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Sara Sancho's work include Cancer, Hypoxia, and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Sara Sancho is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Sara Sancho collaborates with scholars based in United Kingdom, United States and Switzerland. Sara Sancho's co-authors include Bart Vanhaesebroeck, Wayne Pearce, Klaus Okkenhaug, Andrew J. H. Smith, Emma Peskett, Stephen Meek, Géraldine Farjot, Michael D. Waterfield, Helen Priddle and Antonio Bilancio and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Sara Sancho

9 papers receiving 1.5k citations

Hit Papers

Impaired B and T Cell Antigen Receptor Signaling in p110δ... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Sancho United Kingdom 7 903 626 431 271 141 9 1.5k
Janet Glassford United Kingdom 16 972 1.1× 302 0.5× 186 0.4× 423 1.6× 147 1.0× 22 1.5k
Ming-jiang Xu Japan 17 605 0.7× 392 0.6× 188 0.4× 156 0.6× 195 1.4× 20 1.5k
Federica Frezzato Italy 23 546 0.6× 439 0.7× 553 1.3× 191 0.7× 307 2.2× 61 1.2k
Claudine M. Yballe United States 8 803 0.9× 461 0.7× 187 0.4× 202 0.7× 61 0.4× 10 1.3k
Carmela Gurrieri Italy 18 915 1.0× 353 0.6× 304 0.7× 393 1.5× 196 1.4× 46 1.5k
Annie Bourdeau Canada 21 1.3k 1.5× 553 0.9× 493 1.1× 271 1.0× 57 0.4× 30 2.1k
Franz Kohlhuber Germany 15 1.1k 1.3× 357 0.6× 164 0.4× 825 3.0× 161 1.1× 17 1.8k
Yen K. Lieu United States 16 674 0.7× 660 1.1× 143 0.3× 295 1.1× 248 1.8× 21 1.9k
Jason A. Powell Australia 24 1.0k 1.1× 340 0.5× 121 0.3× 318 1.2× 60 0.4× 42 1.6k
Katti Jessen United States 12 1.3k 1.4× 184 0.3× 165 0.4× 389 1.4× 140 1.0× 27 1.6k

Countries citing papers authored by Sara Sancho

Since Specialization
Citations

This map shows the geographic impact of Sara Sancho'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 Sancho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Sancho more than expected).

Fields of papers citing papers by Sara Sancho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Sancho. 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 Sancho. The network helps show where Sara Sancho may publish in the future.

Co-authorship network of co-authors of Sara Sancho

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

All Works

9 of 9 papers shown
1.
Foukas, Lazaros C., Benoît Bilanges, Lucia Bettedi, et al.. (2013). Long‐term p110α PI3K inactivation exerts a beneficial effect on metabolism. EMBO Molecular Medicine. 5(4). 563–571. 73 indexed citations
2.
Patton, Daniel T., Oliver A. Garden, Wayne Pearce, et al.. (2006). Cutting Edge: The Phosphoinositide 3-Kinase p110δ Is Critical for the Function of CD4+CD25+Foxp3+ Regulatory T Cells. The Journal of Immunology. 177(10). 6598–6602. 249 indexed citations
3.
Foukas, Lazaros C., Marc Claret, Wayne Pearce, et al.. (2006). Critical role for the p110α phosphoinositide-3-OH kinase in growth and metabolic regulation. Nature. 441(7091). 366–370. 369 indexed citations
4.
Okkenhaug, Klaus, Antonio Bilancio, Géraldine Farjot, et al.. (2002). Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Mice. Science. 297(5583). 1031–1034. 761 indexed citations breakdown →
5.
Sancho, Sara, et al.. (1994). Innervation of MyoD-converted human amniocytes and fibroblasts by fetal rodent spinal cord neurons. Neuromuscular Disorders. 4(4). 317–324. 5 indexed citations
6.
Sancho, Sara, Tiziana Mongini, Stephen J. Tapscott, et al.. (1993). Analysis of Dystrophin Expression after Activation of Myogenesis in Amniocytes, Chorionic-Villus Cells, and Fibroblasts -- A New Method for Diagnosing Duchenne's Muscular Dystrophy. New England Journal of Medicine. 329(13). 915–920. 36 indexed citations
7.
Sancho, Sara, Carlos T. Moraes, Kurenai Tanji, & Armand F. Miranda. (1992). Structural and functional mitochondrial abnormalities associated with high levels of partially deleted mitochondrial DNAs in somatic cell hybrids. Somatic Cell and Molecular Genetics. 18(5). 431–442. 17 indexed citations
8.
Navarro, Carmen, et al.. (1992). Muscle involvement in cholesterol ester storage disease. Neurology. 42(5). 1120–1120. 5 indexed citations
9.
Sancho, Sara, Carmen Navarro, José M. Fernández, et al.. (1990). Skin biopsy findings in glycogenosis III: Clinical, biochemical, and electrophysiological correlations. Annals of Neurology. 27(5). 480–486. 6 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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