Anthony S. Zannas

4.9k total citations · 3 hit papers
62 papers, 2.8k citations indexed

About

Anthony S. Zannas is a scholar working on Molecular Biology, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Anthony S. Zannas has authored 62 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Behavioral Neuroscience and 16 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Anthony S. Zannas's work include Stress Responses and Cortisol (18 papers), Epigenetics and DNA Methylation (18 papers) and Birth, Development, and Health (15 papers). Anthony S. Zannas is often cited by papers focused on Stress Responses and Cortisol (18 papers), Epigenetics and DNA Methylation (18 papers) and Birth, Development, and Health (15 papers). Anthony S. Zannas collaborates with scholars based in United States, Germany and Greece. Anthony S. Zannas's co-authors include Elisabeth B. Binder, Nils C. Gassen, Tobias Wiechmann, George P. Chrousos, Anne E. West, Nadine Provençal, Gopalkumar Rakesh, Steven T. Szabo, Douglas R. McQuoid and Warren D. Taylor and has published in prestigious journals such as Circulation, Nature Communications and NeuroImage.

In The Last Decade

Anthony S. Zannas

56 papers receiving 2.8k citations

Hit Papers

Gene–Stress–Epigenetic Regulation of FKBP5: Clinical and ... 2015 2026 2018 2022 2015 2015 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony S. Zannas United States 24 913 674 485 453 327 62 2.8k
Mark W. Logue United States 31 1.0k 1.1× 510 0.8× 611 1.3× 327 0.7× 289 0.9× 116 3.0k
Jonathan D. Turner Luxembourg 34 1.1k 1.3× 736 1.1× 275 0.6× 579 1.3× 230 0.7× 102 3.3k
Monika Rex‐Haffner Germany 19 1.1k 1.2× 741 1.1× 591 1.2× 524 1.2× 336 1.0× 40 2.8k
Bao‐Zhu Yang United States 33 842 0.9× 520 0.8× 1.1k 2.3× 312 0.7× 271 0.8× 68 3.6k
Varun Kilaru United States 20 1.2k 1.4× 569 0.8× 512 1.1× 674 1.5× 211 0.6× 38 2.6k
Andreas Menke Germany 27 941 1.0× 910 1.4× 375 0.8× 309 0.7× 889 2.7× 71 3.2k
Divya Mehta Australia 26 1.6k 1.7× 1.0k 1.5× 958 2.0× 802 1.8× 550 1.7× 72 4.5k
Darina Czamara Germany 32 725 0.8× 329 0.5× 283 0.6× 524 1.2× 342 1.0× 93 2.3k
Ulrike Schmidt Germany 27 723 0.8× 868 1.3× 528 1.1× 146 0.3× 266 0.8× 66 2.4k
Charles R. Neal United States 32 1.1k 1.3× 557 0.8× 628 1.3× 1.3k 2.9× 245 0.7× 80 4.4k

Countries citing papers authored by Anthony S. Zannas

Since Specialization
Citations

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

Fields of papers citing papers by Anthony S. Zannas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony S. Zannas. 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 Anthony S. Zannas. The network helps show where Anthony S. Zannas may publish in the future.

Co-authorship network of co-authors of Anthony S. Zannas

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

All Works

20 of 20 papers shown
1.
McLean, Samuel A., Matthew C. Mauck, Aaron Lee, et al.. (2023). CpG Methylation Levels in HPA Axis Genes Predict Chronic Pain Outcomes Following Trauma Exposure. Journal of Pain. 24(7). 1127–1141. 7 indexed citations
4.
Archer, Trevor, et al.. (2023). Machine learning-based morphological quantification of replicative senescence in human fibroblasts. GeroScience. 46(2). 2425–2439. 3 indexed citations
5.
Zannas, Anthony S., Sarah D. Linnstaedt, Xinming An, et al.. (2023). Epigenetic aging and PTSD outcomes in the immediate aftermath of trauma. Psychological Medicine. 53(15). 7170–7179. 15 indexed citations
6.
Lü, Yifei, James Russell Pike, Anna Kucharska‐Newton, et al.. (2022). Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study. The Journals of Gerontology Series A. 78(8). 1497–1503.
7.
Kosyk, Oksana, et al.. (2022). An open access, machine learning pipeline for high-throughput quantification of cell morphology. STAR Protocols. 4(1). 101947–101947. 1 indexed citations
8.
Pike, James Russell, et al.. (2022). Biological Age Mediates the Effects of Perceived Neighborhood Problems on Heart Failure Risk Among Black Persons. Journal of Racial and Ethnic Health Disparities. 10(6). 3018–3030. 7 indexed citations
9.
Palma‐Gudiel, Helena, Aric A. Prather, Jue Lin, et al.. (2020). HPA axis regulation and epigenetic programming of immune-related genes in chronically stressed and non-stressed mid-life women. Brain Behavior and Immunity. 92. 49–56. 23 indexed citations
10.
Linnstaedt, Sarah D., Anthony S. Zannas, Samuel A. McLean, Karestan C. Koenen, & Kerry J. Ressler. (2019). Literature review and methodological considerations for understanding circulating risk biomarkers following trauma exposure. Molecular Psychiatry. 25(9). 1986–1999. 12 indexed citations
11.
Zannas, Anthony S.. (2019). Epigenetics as a key link between psychosocial stress and aging: concepts, evidence, mechanisms. Dialogues in Clinical Neuroscience. 21(4). 389–396. 42 indexed citations
12.
Palma‐Gudiel, Helena, E. Eixarch, F. Crispi, et al.. (2019). Prenatal adverse environment is associated with epigenetic age deceleration at birth and hypomethylation at the hypoxia-responsive EP300 gene. Clinical Epigenetics. 11(1). 73–73. 36 indexed citations
13.
Palma‐Gudiel, Helena, Lourdes Fañanás, Steve Horvath, & Anthony S. Zannas. (2019). Psychosocial stress and epigenetic aging. International review of neurobiology. 150. 107–128. 67 indexed citations
14.
Zannas, Anthony S., Nadine Provençal, & Elisabeth B. Binder. (2015). Epigenetics of Posttraumatic Stress Disorder: Current Evidence, Challenges, and Future Directions. Biological Psychiatry. 78(5). 327–335. 128 indexed citations
15.
Whelan, Christopher D., Derrek P. Hibar, Laura S. van Velzen, et al.. (2015). Heritability and reliability of automatically segmented human hippocampal formation subregions. NeuroImage. 128. 125–137. 93 indexed citations
16.
Taylor, Warren D., Douglas R. McQuoid, Martha E. Payne, et al.. (2013). Hippocampus Atrophy and the Longitudinal Course of Late-life Depression. American Journal of Geriatric Psychiatry. 22(12). 1504–1512. 100 indexed citations
17.
Zannas, Anthony S., Douglas R. McQuoid, Martha E. Payne, et al.. (2013). Negative life stress and longitudinal hippocampal volume changes in older adults with and without depression. Journal of Psychiatric Research. 47(6). 829–834. 43 indexed citations
18.
Zannas, Anthony S. & Anne E. West. (2013). Epigenetics and the regulation of stress vulnerability and resilience. Neuroscience. 264. 157–170. 134 indexed citations
19.
Zannas, Anthony S., Douglas R. McQuoid, David C. Steffens, George P. Chrousos, & Warren D. Taylor. (2012). Stressful life events, perceived stress, and 12-month course of geriatric depression: Direct effects and moderation by the 5-HTTLPRandCOMTVal158Met polymorphisms. Stress. 15(4). 425–434. 31 indexed citations
20.
Zannas, Anthony S., Terence Z. Wong, & P. Murali Doraiswamy. (2012). How Much Is a Picture Worth Putting Amyloid Imaging to the Test. Dementia and Geriatric Cognitive Disorders Extra. 2(1). 649–651. 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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