Sara Ansaloni

619 total citations
11 papers, 473 citations indexed

About

Sara Ansaloni is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sara Ansaloni has authored 11 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sara Ansaloni's work include MicroRNA in disease regulation (3 papers), Alzheimer's disease research and treatments (2 papers) and RNA Interference and Gene Delivery (2 papers). Sara Ansaloni is often cited by papers focused on MicroRNA in disease regulation (3 papers), Alzheimer's disease research and treatments (2 papers) and RNA Interference and Gene Delivery (2 papers). Sara Ansaloni collaborates with scholars based in United States, Germany and United Kingdom. Sara Ansaloni's co-authors include Aleister J. Saunders, Jack T. Rogers, Neha Patel, Qihong Huang, Nathan Miller, William M. F. Lee, A. K. W. Wood, Chandra M. Sehgal, Lisa S. Ziemer and Michael D. Feldman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Human Neuroscience.

In The Last Decade

Sara Ansaloni

10 papers receiving 469 citations

Peers

Sara Ansaloni

MB

CR

PHYSI

BE

CMN

Stella Aronov Israel

Thomas Dino Rockel Germany

Alex Galaz Chile

Anthony Flamier Canada

Joana Tomás Portugal

Toke P. Krogager Denmark

Jiahao Huang United States

Byounggook Cho South Korea

Hazel Quek Australia

Boris Brenerman United States

Stella Aronov Israel

Sara Ansaloni

483 ×1.9

MB

34 ×0.2

CR

92 ×0.8

PHYSI

22 ×0.2

BE

119 ×1.7

CMN

Citations per year, relative to Sara Ansaloni Sara Ansaloni (= 1×) peers Stella Aronov

Countries citing papers authored by Sara Ansaloni

Since Specialization

Citations

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

Fields of papers citing papers by Sara Ansaloni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Ansaloni

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Ansaloni. A scholar is included among the top collaborators of Sara Ansaloni 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 Ansaloni. Sara Ansaloni 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

1.

Ansaloni, Sara, et al.. (2023). Mobility issues and multidimensional inequalities: exploring the limits of the National Strategy for Immigration and Asylum during the COVID-19 pandemic in Morocco. SHILAP Revista de lepidopterología. 9(1). 191–218. 2 indexed citations

2.

Leung, Brian, Chun Kit Kwok, Sara Ansaloni, et al.. (2015). Amyloid Precursor Protein Translation Is Regulated by a 3’UTR Guanine Quadruplex. PLoS ONE. 10(11). e0143160–e0143160. 45 indexed citations

3.

Ansaloni, Sara, Marcel Schilling, Tian Liu, et al.. (2014). MicroRNA-138 is a potential regulator of memory performance in humans. Frontiers in Human Neuroscience. 8. 501–501. 50 indexed citations

4.

Schilling, Marcel, Sara Ansaloni, Julia Schröder, & Lars Bertram. (2013). P1–070: Bioinformatics meets biology: Predicting the role of DNA‐sequence variants on micro‐RNA function. Alzheimer s & Dementia. 9(4S_Part_4).

5.

Ansaloni, Sara, Brian Leung, Aditi Dubey, & Aleister J. Saunders. (2012). Tyrosine kinase receptor B isoforms alter APP and BACE1 endogenous levels independently of BDNF. 1(3). 93–101. 2 indexed citations

6.

Ansaloni, Sara, et al.. (2011). TrkB Isoforms Differentially Affect AICD Production through Their Intracellular Functional Domains. International Journal of Alzheimer s Disease. 2011(1). 729382–729382. 5 indexed citations

7.

Mhatre, Siddhita D., Brie Paddock, Sean Miller, et al.. (2011). Characterization of a Drosophila Alzheimer's Disease Model: Pharmacological Rescue of Cognitive Defects. PLoS ONE. 6(6). e20799–e20799. 100 indexed citations

8.

Ansaloni, Sara, et al.. (2010). A streamlined sub-cloning procedure to transfer shRNA from a pSM2 vector to a pGIPZ lentiviral vector.. PubMed. 6(2). 411–5. 6 indexed citations

9.

Patel, Neha, Nathan Miller, Sara Ansaloni, et al.. (2008). MicroRNAs can regulate human APP levels. Molecular Neurodegeneration. 3(1). 10–10. 162 indexed citations

10.

Bunte, Ralph M., Sara Ansaloni, Chandra M. Sehgal, William M. F. Lee, & A. K. W. Wood. (2006). Histopathological observations of the antivascular effects of physiotherapy ultrasound on a murine neoplasm. Ultrasound in Medicine & Biology. 32(3). 453–461. 30 indexed citations

11.

Wood, A. K. W., Sara Ansaloni, Lisa S. Ziemer, et al.. (2005). The antivascular action of physiotherapy ultrasound on murine tumors. Ultrasound in Medicine & Biology. 31(10). 1403–1410. 71 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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