Stella Iurato

1.8k total citations · 1 hit paper
7 papers, 475 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 475 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 Birth, Development, and Health (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 Birth, Development, and Health (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, Tania Carrillo‐Roa, Jennifer Lange, Andreas Menke, Anthony S. Zannas, Divya Mehta, Charles B. Nemeroff 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 467 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lifetime stress accelerates epigenetic aging in an urban, African American cohort: relevance of glucocorticoid signaling

2015 313 citations Anthony S. Zannas, Janine Arloth et al. Genome biology profile →

Peers

Stella Iurato

MB

PPCH

CP

SPS

GENET

Patricia Braun United States

Jonathan T. Heinzman United States

Nancy Hollenbeck United States

Albert Higgins‐Chen United States

Lindsey Gaul United States

Marcus Ising Germany

Alexandra Fok Canada

Adele Taylor United Kingdom

Jennifer Judy United States

Allan M. Andersen United States

Patricia Braun United States

Stella Iurato

266 ×1.1

MB

105 ×0.9

PPCH

126 ×1.6

CP

57 ×0.8

SPS

87 ×1.5

GENET

Citations per year, relative to Stella Iurato Stella Iurato (= 1×) peers Patricia Braun

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Czamara, Darina, Stella Iurato, Janine Arloth, et al.. (2022). Effects of stressful life-events on DNA methylation in panic disorder and major depressive disorder. Clinical Epigenetics. 14(1). 55–55. 7 indexed citations

2.

Franssen, Frits M.E., Peter Alter, Nadav Bar, et al.. (2019). <p>Personalized medicine for patients with COPD: where are we?</p>. International Journal of COPD. Volume 14. 1465–1484. 63 indexed citations

3.

Naik, Roshan Ratnakar, Stella Iurato, Patrick Markt, et al.. (2017). Polymorphism in Tmem132d regulates expression and anxiety-related behavior through binding of RNA polymerase II complex. Translational Psychiatry. 8(1). 1–1. 55 indexed citations

4.

Iurato, Stella, Tania Carrillo‐Roa, Janine Arloth, et al.. (2017). “DNA Methylation signatures in panic disorder”. Translational Psychiatry. 7(12). 1287–1287. 35 indexed citations

5.

Iurato, Stella, Tania Carrillo‐Roa, Janine Arloth, et al.. (2017). Sex-Specific Dna Methylation Signatures In Panic Disorder. European Neuropsychopharmacology. 27. S446–S447. 1 indexed citations

6.

Zannas, Anthony S., Janine Arloth, Tania Carrillo‐Roa, et al.. (2015). Lifetime stress accelerates epigenetic aging in an urban, African American cohort: relevance of glucocorticoid signaling. Genome biology. 16(1). 266–266. 313 indexed citations breakdown →

7.

Zannas, Anthony S., Tania Carrillo‐Roa, Stella Iurato, et al.. (2015). Lifetime Stress Accelerates Epigenetic Aging. European Psychiatry. 30. 799–799. 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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