Stella Iurato

39 total papers · 1.7k total citations
7 papers, 468 citations indexed

About

Stella Iurato is a scholar working on Molecular Biology, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Stella Iurato has authored 7 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Sociology and Political Science and 2 papers in Clinical Psychology. Recurrent topics in Stella Iurato's work include Epigenetics and DNA Methylation (6 papers), Intergenerational Family Dynamics and Caregiving (3 papers) and Neuroendocrine regulation and behavior (1 paper). Stella Iurato is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Intergenerational Family Dynamics and Caregiving (3 papers) and Neuroendocrine regulation and behavior (1 paper). Stella Iurato collaborates with scholars based in Germany, United States and Australia. Stella Iurato's co-authors include Angelika Erhardt, Elisabeth B. Binder, Janine Arloth, Jennifer Lange, Tania Carrillo‐Roa, Anthony S. Zannas, Bekh Bradley, Christine Heim, Divya Mehta and Tanja Brückl and has published in prestigious journals such as Genome biology, Translational Psychiatry and European Neuropsychopharmacology.

In The Last Decade

Stella Iurato

7 papers receiving 459 citations

Hit Papers

Lifetime stress accelerat... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stella Iurato 231 115 79 74 58 7 468
Patricia Braun 262 1.1× 102 0.9× 123 1.6× 56 0.8× 87 1.5× 14 511
Dongsha Wang 249 1.1× 121 1.1× 161 2.0× 41 0.6× 62 1.1× 5 491
Hannah Maniates 123 0.5× 44 0.4× 119 1.5× 27 0.4× 35 0.6× 12 420
Agnes McGinty 96 0.4× 123 1.1× 34 0.4× 22 0.3× 53 0.9× 9 486
Mélissa L. Lévesque 118 0.5× 86 0.7× 113 1.4× 21 0.3× 49 0.8× 15 528
Anna Georgiades 241 1.0× 72 0.6× 72 0.9× 28 0.4× 159 2.7× 18 524
Oakland C. Walters 104 0.5× 151 1.3× 197 2.5× 39 0.5× 23 0.4× 8 503
Francesca Manuella 278 1.2× 169 1.5× 43 0.5× 29 0.4× 55 0.9× 12 549
Agnieszka Kepa 133 0.6× 54 0.5× 232 2.9× 48 0.6× 69 1.2× 8 544
Kirsi Lillberg 28 0.1× 103 0.9× 43 0.5× 72 1.0× 53 0.9× 6 501

Countries citing papers authored by Stella Iurato

Since Specialization
Citations

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

Fields of papers citing papers by Stella Iurato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stella Iurato

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

All Works

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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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