Margaret M. McCarthy

23.1k total citations · 5 hit papers
259 papers, 16.7k citations indexed

About

Margaret M. McCarthy is a scholar working on Social Psychology, Behavioral Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Margaret M. McCarthy has authored 259 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Social Psychology, 75 papers in Behavioral Neuroscience and 69 papers in Cellular and Molecular Neuroscience. Recurrent topics in Margaret M. McCarthy's work include Neuroendocrine regulation and behavior (102 papers), Stress Responses and Cortisol (75 papers) and Hypothalamic control of reproductive hormones (57 papers). Margaret M. McCarthy is often cited by papers focused on Neuroendocrine regulation and behavior (102 papers), Stress Responses and Cortisol (75 papers) and Hypothalamic control of reproductive hormones (57 papers). Margaret M. McCarthy collaborates with scholars based in United States, Canada and United Kingdom. Margaret M. McCarthy's co-authors include Bridget M. Nugent, Kathryn M. Lenz, Arthur P. Arnold, Stuart K. Amateau, Jaclyn M. Schwarz, Christopher L. Wright, Anthony P. Auger, Jessica A. Mong, Anne T. M. Konkle and Joseph L. Nuñez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Margaret M. McCarthy

255 papers receiving 16.4k citations

Hit Papers

Early Life Programming an... 2008 2026 2014 2020 2010 2008 2011 2012 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret M. McCarthy United States 72 4.8k 3.9k 3.6k 3.0k 2.9k 259 16.7k
Cheryl A. Frye United States 70 4.9k 1.0× 6.9k 1.8× 4.5k 1.2× 3.8k 1.3× 3.5k 1.2× 276 18.6k
Michaël Schumacher France 78 2.2k 0.5× 3.1k 0.8× 2.8k 0.8× 4.1k 1.4× 4.7k 1.6× 301 16.9k
Arthur P. Arnold United States 84 3.9k 0.8× 2.2k 0.6× 6.8k 1.9× 5.1k 1.7× 3.1k 1.0× 290 25.8k
Dick F. Swaab Netherlands 102 9.4k 1.9× 7.2k 1.8× 3.3k 0.9× 6.4k 2.1× 7.3k 2.5× 684 39.2k
Neil J. MacLusky United States 72 3.4k 0.7× 4.3k 1.1× 5.7k 1.6× 2.6k 0.8× 3.5k 1.2× 264 17.2k
Catherine S. Woolley United States 54 2.6k 0.5× 5.5k 1.4× 4.7k 1.3× 1.9k 0.6× 5.9k 2.0× 89 15.1k
Luis Miguel García‐Segura Spain 87 2.3k 0.5× 4.9k 1.3× 7.3k 2.0× 5.6k 1.8× 6.4k 2.2× 484 25.1k
Frederick Naftolin United States 85 3.2k 0.7× 3.0k 0.8× 7.5k 2.1× 4.1k 1.3× 3.0k 1.0× 507 24.8k
Tamás L. Horváth United States 97 1.9k 0.4× 1.6k 0.4× 2.3k 0.6× 8.2k 2.7× 4.2k 1.4× 328 34.7k
Richard B. Simerly United States 53 4.4k 0.9× 2.8k 0.7× 2.5k 0.7× 2.2k 0.7× 3.0k 1.0× 85 14.9k

Countries citing papers authored by Margaret M. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Margaret M. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret M. McCarthy. 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 Margaret M. McCarthy. The network helps show where Margaret M. McCarthy may publish in the future.

Co-authorship network of co-authors of Margaret M. McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret M. McCarthy. A scholar is included among the top collaborators of Margaret M. McCarthy 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 Margaret M. McCarthy. Margaret M. McCarthy 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.
McCarthy, Margaret M.. (2024). The immune system of trans men reveals how hormones shape immunity. Nature. 633(8028). 38–40.
3.
Eliot, Lise, et al.. (2023). Why and How to Account for Sex and Gender in Brain and Behavioral Research. Journal of Neuroscience. 43(37). 6344–6356. 24 indexed citations
4.
McCarthy, Margaret M.. (2023). Pregnancy programs the brain for mothering. Science. 382(6666). 33–34. 3 indexed citations
5.
Dalla, Christina, Ivana Jarić, Georgia E. Hodes, et al.. (2023). Practical solutions for including sex as a biological variable (SABV) in preclinical neuropsychopharmacological research. Journal of Neuroscience Methods. 401. 110003–110003. 17 indexed citations
6.
Chamberlain, Samuel R., et al.. (2021). ACNP 60th Annual Meeting: Panels, Mini-Panels and Study Groups. Neuropsychopharmacology. 46(S1). 1–71. 2 indexed citations
7.
Lenz, Kathryn M., et al.. (2018). Mast Cells in the Developing Brain Determine Adult Sexual Behavior. Journal of Neuroscience. 38(37). 8044–8059. 78 indexed citations
8.
McCarthy, Margaret M.. (2017). Mad Mädchen. Berghahn Books. 2 indexed citations
9.
Wright, Christopher L., et al.. (2016). A Critical Period in Purkinje Cell Development Is Mediated by Local Estradiol Synthesis, Disrupted by Inflammation, and Has Enduring Consequences Only for Males. Journal of Neuroscience. 36(39). 10039–10049. 47 indexed citations
10.
McCarthy, Margaret M.. (2011). A lumpers versus splitters approach to sexual differentiation of the brain. Frontiers in Neuroendocrinology. 32(2). 114–123. 12 indexed citations
11.
Schwarz, Jaclyn M., Bridget M. Nugent, & Margaret M. McCarthy. (2010). Developmental and Hormone-Induced Epigenetic Changes to Estrogen and Progesterone Receptor Genes in Brain Are Dynamic across the Life Span. Endocrinology. 151(10). 4871–4881. 154 indexed citations
12.
Wright, Christopher L. & Margaret M. McCarthy. (2009). Prostaglandin E2-Induced Masculinization of Brain and Behavior Requires Protein Kinase A, AMPA/Kainate, and Metabotropic Glutamate Receptor Signaling. Journal of Neuroscience. 29(42). 13274–13282. 71 indexed citations
13.
McCarthy, Margaret M., Jaclyn M. Schwarz, Christopher L. Wright, & Shannon L. Dean. (2008). Mechanisms Mediating Oestradiol Modulation of the Developing Brain. Journal of Neuroendocrinology. 20(6). 777–783. 57 indexed citations
14.
Hilton, Genell, Linda L. Bambrick, Scott M. Thompson, & Margaret M. McCarthy. (2005). Estradiol Modulation of Kainic Acid-Induced Calcium Elevation in Neonatal Hippocampal Neurons. Endocrinology. 147(3). 1246–1255. 19 indexed citations
15.
Fairbairn, K. J., A. Stevens, Margaret M. McCarthy, & Hossein Mehdian. (2004). Melorheostosis of the tenth and eleventh thoracic vertebrae crossing the facet joint: a rare cause of back pain. Skeletal Radiology. 33(5). 283–286. 19 indexed citations
16.
Mong, Jessica A., et al.. (1996). Evidence for Sexual Differentiation of Glia in Rat Brain. Hormones and Behavior. 30(4). 553–562. 72 indexed citations
18.
McCarthy, Margaret M., et al.. (1995). Estrogen modulation of mRNA levels for the two forms of glutamic acid decarboxylase (GAD) in female rat brain. The Journal of Comparative Neurology. 360(4). 685–697. 102 indexed citations
19.
McCarthy, Margaret M., Mario Caba, Cordian Beyer, & Barry R. Komisaruk. (1989). Steroid modulation of gaba receptors novel mechanism for regulation of sexual behavior. The Society for Neuroscience Abstracts. 15(1). 759. 2 indexed citations
20.
McCarthy, Margaret M.. (1953). Generation in revolt. 8 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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