Megan Chesnut

745 total citations · 1 hit paper
12 papers, 453 citations indexed

About

Megan Chesnut is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental Neuroscience. According to data from OpenAlex, Megan Chesnut has authored 12 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Developmental Neuroscience. Recurrent topics in Megan Chesnut's work include Functional Brain Connectivity Studies (4 papers), Mental Health Research Topics (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Megan Chesnut is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Mental Health Research Topics (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). Megan Chesnut collaborates with scholars based in United States, Switzerland and Germany. Megan Chesnut's co-authors include David Pamies, Leanne M. Williams, Helena T. Högberg, Thomas Härtung, Bailey Holt-Gosselin, Leonardo Tozzi, Xue Zhang, Lúcio Gama, Celina Monteiro Abreu and Susanne Krasemann and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Megan Chesnut

12 papers receiving 448 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.

Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

2024 80 citations Leonardo Tozzi, Xue Zhang et al. Nature Medicine profile →

Peers

Megan Chesnut

CN

ECP

MB

NEURO

CMN

Yuting Hu China

Tianye Jia China

Murielle Girard France

Jinxue Wei China

Michael J. Taylor United States

Sónia Sá Santos Portugal

James E. Hassell United States

Thiago C. Moulin Sweden

Concepcion Conejero‐Goldberg United States

Sarah J. Bertrand United States

Yuting Hu China

Megan Chesnut

70 ×0.5

CN

52 ×0.5

ECP

212 ×2.2

MB

44 ×0.7

NEURO

35 ×0.6

CMN

Citations per year, relative to Megan Chesnut Megan Chesnut (= 1×) peers Yuting Hu

Countries citing papers authored by Megan Chesnut

Since Specialization

Citations

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

Fields of papers citing papers by Megan Chesnut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Chesnut

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

All Works

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12 of 12 papers shown

1.

Tozzi, Leonardo, Xue Zhang, Adam Pines, et al.. (2024). Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Nature Medicine. 30(7). 2076–2087. 80 indexed citations breakdown →

2.

Khan, Yasser, Matthew Louis Mauriello, Jinxing Li, et al.. (2024). On Stress: Combining Human Factors and Biosignals to Inform the Placement and Design of a Skin-like Stress Sensor. 1–13. 6 indexed citations

3.

Chesnut, Megan, Thomas Härtung, Helena T. Högberg, & David Pamies. (2021). Human Oligodendrocytes and Myelin In Vitro to Evaluate Developmental Neurotoxicity. International Journal of Molecular Sciences. 22(15). 7929–7929. 22 indexed citations

4.

Tozzi, Leonardo, et al.. (2021). Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination. NeuroImage Clinical. 30. 102570–102570. 71 indexed citations

5.

Holt-Gosselin, Bailey, et al.. (2021). Greater baseline connectivity of the salience and negative affect circuits are associated with natural improvements in anxiety over time in untreated participants. Journal of Affective Disorders. 295. 366–376. 1 indexed citations

6.

Chesnut, Megan, Cendrine Repond, Lena Smirnova, et al.. (2021). Human IPSC-Derived Model to Study Myelin Disruption. International Journal of Molecular Sciences. 22(17). 9473–9473. 30 indexed citations

7.

Chesnut, Megan, Sahar Harati, Pablo Paredes, et al.. (2021). Stress Markers for Mental States and Biotypes of Depression and Anxiety: A Scoping Review and Preliminary Illustrative Analysis. SHILAP Revista de lepidopterología. 5. 2280622098–2280622098. 39 indexed citations

8.

Tozzi, Leonardo, Brooke R. Staveland, Bailey Holt-Gosselin, et al.. (2020). The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression. NeuroImage. 214. 116715–116715. 34 indexed citations

9.

Zhong, Xiali, Georgina Harris, Lena Smirnova, et al.. (2020). Antidepressant Paroxetine Exerts Developmental Neurotoxicity in an iPSC-Derived 3D Human Brain Model. Frontiers in Cellular Neuroscience. 14. 25–25. 51 indexed citations

10.

Chesnut, Megan, Laura Muñoz, Georgina Harris, et al.. (2019). In vitro and in silico Models to Study Mosquito-Borne Flavivirus Neuropathogenesis, Prevention, and Treatment. Frontiers in Cellular and Infection Microbiology. 9. 223–223. 13 indexed citations

11.

Chesnut, Megan. (2018). Regulatory acceptance of read-across. ALTEX. 35(3). 413–419. 24 indexed citations

12.

Abreu, Celina Monteiro, Lúcio Gama, Susanne Krasemann, et al.. (2018). Microglia Increase Inflammatory Responses in iPSC-Derived Human BrainSpheres. Frontiers in Microbiology. 9. 2766–2766. 82 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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