Sara Bizzotto

1.8k total citations
11 papers, 468 citations indexed

About

Sara Bizzotto is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sara Bizzotto has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Sara Bizzotto's work include Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (4 papers) and CRISPR and Genetic Engineering (3 papers). Sara Bizzotto is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (4 papers) and CRISPR and Genetic Engineering (3 papers). Sara Bizzotto collaborates with scholars based in United States, France and Switzerland. Sara Bizzotto's co-authors include Christopher A. Walsh, Fiona Francis, A. James Barkovich, Gary W. Mathern, Alissa M. D’Gama, Ying Zhong, Nicole E. Hatem, Ingmar Blümcke, Christopher M. LaCoursiere and Imad Najm and has published in prestigious journals such as Science, Cell and Nature Genetics.

In The Last Decade

Sara Bizzotto

11 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Bizzotto United States	8	303	216	99	54	53	11	468
Princess C. Elhosary United States	5	700 2.3×	454 2.1×	208 2.1×	90 1.7×	27 0.5×	5	982
Antonio Vitobello France	13	446 1.5×	212 1.0×	71 0.7×	22 0.4×	40 0.8×	36	595
Alexei D. Kolotii Russia	12	336 1.1×	468 2.2×	60 0.6×	118 2.2×	19 0.4×	27	692
Susan van Erp Netherlands	10	355 1.2×	64 0.3×	131 1.3×	17 0.3×	98 1.8×	13	574
Suzanne F. C. Miller-Delaney Ireland	7	195 0.6×	127 0.6×	76 0.8×	32 0.6×	9 0.2×	8	355
Jillian M. Felie United States	6	335 1.1×	198 0.9×	19 0.2×	72 1.3×	56 1.1×	7	492
Eva Rossier Germany	13	406 1.3×	392 1.8×	26 0.3×	73 1.4×	14 0.3×	21	644
Jonathan Jui United States	6	517 1.7×	136 0.6×	42 0.4×	33 0.6×	64 1.2×	7	567
James C. McGann United States	8	340 1.1×	205 0.9×	89 0.9×	10 0.2×	30 0.6×	8	482
Karolina Szczęsna Spain	8	241 0.8×	116 0.5×	70 0.7×	10 0.2×	33 0.6×	9	353

Countries citing papers authored by Sara Bizzotto

Since Specialization

Citations

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

Fields of papers citing papers by Sara Bizzotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Bizzotto

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

All Works

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11 of 11 papers shown

Baldassari, Sara, Esther Klingler, Sergi Roig‐Puiggros, et al.. (2025). Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia. Nature Neuroscience. 28(5). 964–972. 4 indexed citations

Ganz, Javier, Lovelace J. Luquette, Sara Bizzotto, et al.. (2024). Contrasting somatic mutation patterns in aging human neurons and oligodendrocytes. Cell. 187(8). 1955–1970.e23. 17 indexed citations

Bizzotto, Sara. (2023). The human brain through the lens of somatic mosaicism. Frontiers in Neuroscience. 17. 1172469–1172469. 6 indexed citations

Luquette, Lovelace J., Michael B. Miller, Zinan Zhou, et al.. (2022). Single-cell genome sequencing of human neurons identifies somatic point mutation and indel enrichment in regulatory elements. Nature Genetics. 54(10). 1564–1571. 50 indexed citations

Bizzotto, Sara & Christopher A. Walsh. (2022). Genetic mosaicism in the human brain: from lineage tracing to neuropsychiatric disorders. Nature reviews. Neuroscience. 23(5). 275–286. 47 indexed citations

Bizzotto, Sara, Yanmei Dou, Javier Ganz, et al.. (2021). Landmarks of human embryonic development inscribed in somatic mutations. Science. 371(6535). 1249–1253. 55 indexed citations

Doan, Ryan N., Michael B. Miller, Sonia N. Kim, et al.. (2021). MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations. BMC Medical Genomics. 14(1). 47–47. 11 indexed citations

D’Gama, Alissa M., Mollie B. Woodworth, Sara Bizzotto, et al.. (2017). Somatic Mutations Activating the mTOR Pathway in Dorsal Telencephalic Progenitors Cause a Continuum of Cortical Dysplasias. Cell Reports. 21(13). 3754–3766. 209 indexed citations

Bizzotto, Sara, Ana Uzquiano, Florent Dingli, et al.. (2017). Eml1 loss impairs apical progenitor spindle length and soma shape in the developing cerebral cortex. Scientific Reports. 7(1). 17308–17308. 28 indexed citations

10.

Bizzotto, Sara & Fiona Francis. (2015). Morphological and functional aspects of progenitors perturbed in cortical malformations. Frontiers in Cellular Neuroscience. 9. 30–30. 40 indexed citations

11.

Tuy, Françoise Phan Dinh, et al.. (2014). Mutations du gèneEML1/Eml1, progéniteurs neuronaux et hétérotopies chez l’homme et la souris. médecine/sciences. 30(12). 1087–1090. 1 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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