María Szaruga

917 total citations
10 papers, 520 citations indexed

About

María Szaruga is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, María Szaruga has authored 10 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in María Szaruga's work include Alzheimer's disease research and treatments (7 papers), Nuclear Receptors and Signaling (3 papers) and Computational Drug Discovery Methods (2 papers). María Szaruga is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Nuclear Receptors and Signaling (3 papers) and Computational Drug Discovery Methods (2 papers). María Szaruga collaborates with scholars based in United Kingdom, Belgium and Japan. María Szaruga's co-authors include Lucía Chávez‐Gutiérrez, Nick C. Fox, Natalie S. Ryan, Bart De Strooper, Sarah Veugelen, Sam Lismont, Takaomi C. Saido, Rodrigo Gallardo, Bogdan Munteanu and Savvas N. Savvides and has published in prestigious journals such as Cell, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

María Szaruga

10 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María Szaruga United Kingdom	9	372	257	102	91	90	10	520
Sarah Veugelen United Kingdom	6	308 0.8×	220 0.9×	83 0.8×	51 0.6×	78 0.9×	6	397
Ji‐Yeun Hur Sweden	10	391 1.1×	241 0.9×	108 1.1×	66 0.7×	67 0.7×	13	555
Manasi Benurwar United Kingdom	9	505 1.4×	347 1.4×	170 1.7×	76 0.8×	119 1.3×	9	753
Kazuhiro Ito Japan	7	415 1.1×	201 0.8×	142 1.4×	67 0.7×	70 0.8×	16	570
Faisal Saeed United States	11	198 0.5×	300 1.2×	150 1.5×	46 0.5×	63 0.7×	27	566
Natalia Z. Makova United Kingdom	9	324 0.9×	277 1.1×	142 1.4×	40 0.4×	65 0.7×	11	554
Michiko Sekiya Japan	12	274 0.7×	204 0.8×	70 0.7×	85 0.9×	31 0.3×	20	490
Claudia Prinzen Germany	6	520 1.4×	361 1.4×	173 1.7×	53 0.6×	103 1.1×	8	753
Geoffrey Pires United States	10	458 1.2×	393 1.5×	87 0.9×	59 0.6×	43 0.5×	18	731
Niloufar Haque United States	12	358 1.0×	272 1.1×	126 1.2×	103 1.1×	38 0.4×	15	576

Countries citing papers authored by María Szaruga

Since Specialization

Citations

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

Fields of papers citing papers by María Szaruga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Szaruga

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

All Works

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10 of 10 papers shown

Szaruga, María, et al.. (2024). Integrated stress response activator halofuginone protects mice from diabetes-like phenotypes. The Journal of Cell Biology. 223(10). 7 indexed citations

Szaruga, María, et al.. (2023). Activation of the integrated stress response by inhibitors of its kinases. Nature Communications. 14(1). 5535–5535. 37 indexed citations

Fernández, Sara Gutiérrez, Katarzyna Marta Zoltowska, Thomas Enzlein, et al.. (2022). Aβ profiles generated by Alzheimer’s disease causing PSEN1 variants determine the pathogenicity of the mutation and predict age at disease onset. Molecular Psychiatry. 27(6). 2821–2832. 68 indexed citations

Szaruga, María, et al.. (2022). Cellular responses to halofuginone reveal a vulnerability of the GCN2 branch of the integrated stress response. The EMBO Journal. 41(11). e109985–e109985. 15 indexed citations

Szaruga, María, Bogdan Munteanu, Sam Lismont, et al.. (2021). Alzheimer’s-causing mutations shift Aβ length by destabilizing γ-secretase-Aβn interactions. Cell. 184(8). 2257–2258. 11 indexed citations

Chávez‐Gutiérrez, Lucía & María Szaruga. (2020). Mechanisms of neurodegeneration — Insights from familial Alzheimer’s disease. Seminars in Cell and Developmental Biology. 105. 75–85. 42 indexed citations

Frank, Ana, Takashi Saito, Takaomi C. Saido, et al.. (2020). Prodromal Alzheimer’s Disease: Constitutive Upregulation of Neuroglobin Prevents the Initiation of Alzheimer’s Pathology. Frontiers in Neuroscience. 14. 562581–562581. 15 indexed citations

Szaruga, María, Bogdan Munteanu, Sam Lismont, et al.. (2017). Alzheimer’s-Causing Mutations Shift Aβ Length by Destabilizing γ-Secretase-Aβn Interactions. Cell. 170(3). 443–456.e14. 187 indexed citations

Guennec, Kilan Le, Sarah Veugelen, Olivier Quenez, et al.. (2017). Deletion of exons 9 and 10 of the Presenilin 1 gene in a patient with Early-onset Alzheimer Disease generates longer amyloid seeds. Neurobiology of Disease. 104. 97–103. 16 indexed citations

10.

Szaruga, María, Sarah Veugelen, Manasi Benurwar, et al.. (2015). Qualitative changes in human γ-secretase underlie familial Alzheimer’s disease. The Journal of Experimental Medicine. 212(12). 2003–2013. 122 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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