Megan G. Massa

1.0k total citations
8 papers, 242 citations indexed

About

Megan G. Massa is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Megan G. Massa has authored 8 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrine and Autonomic Systems, 3 papers in Social Psychology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Megan G. Massa's work include Neuroendocrine regulation and behavior (3 papers), Eating Disorders and Behaviors (2 papers) and Circadian rhythm and melatonin (2 papers). Megan G. Massa is often cited by papers focused on Neuroendocrine regulation and behavior (3 papers), Eating Disorders and Behaviors (2 papers) and Circadian rhythm and melatonin (2 papers). Megan G. Massa collaborates with scholars based in United States and Germany. Megan G. Massa's co-authors include Stephanie M. Correa, Ralf Gold, Aiden Haghikia, Zhi Zhang, Marc Liesa, Michaël Shum, J. Edward van Veen, Jae W. Park, Johannes Berg and Barbara Gisevius and has published in prestigious journals such as Nature Communications, PLoS ONE and American Journal Of Pathology.

In The Last Decade

Megan G. Massa

8 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan G. Massa United States	7	81	61	40	40	28	8	242
Antonieta Cote-Vélez Mexico	12	100 1.2×	54 0.9×	60 1.5×	28 0.7×	20 0.7×	17	299
Daniela Fernandois Chile	13	138 1.7×	98 1.6×	136 3.4×	38 0.9×	77 2.8×	19	515
Larissa Fonseca da Cunha Sousa Brazil	9	80 1.0×	46 0.8×	97 2.4×	18 0.5×	14 0.5×	12	380
Machiko Kiyokawa Japan	11	269 3.3×	44 0.7×	48 1.2×	18 0.5×	67 2.4×	18	500
Marilina Casais Argentina	12	56 0.7×	50 0.8×	29 0.7×	97 2.4×	61 2.2×	41	383
Kiyohito Yano Japan	11	40 0.5×	21 0.3×	60 1.5×	56 1.4×	101 3.6×	27	340
Maja M. Bjelic Serbia	12	108 1.3×	72 1.2×	61 1.5×	13 0.3×	27 1.0×	13	342
Melissa A. Tadros Australia	11	28 0.3×	76 1.2×	107 2.7×	22 0.6×	23 0.8×	23	427
Stacy Forbes United States	5	128 1.6×	68 1.1×	102 2.5×	14 0.3×	13 0.5×	6	357
Sarah R. Lindsley United States	11	232 2.9×	137 2.2×	79 2.0×	17 0.4×	25 0.9×	15	430

Countries citing papers authored by Megan G. Massa

Since Specialization

Citations

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

Fields of papers citing papers by Megan G. Massa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan G. Massa

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

All Works

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8 of 8 papers shown

Massa, Megan G., Rachel Scott, Laura R. Cortes, et al.. (2023). Feeding neurons integrate metabolic and reproductive states in mice. iScience. 26(10). 107918–107918. 4 indexed citations

Massa, Megan G., et al.. (2023). Deconstructing sex: Strategies for undoing binary thinking in neuroendocrinology and behavior. Hormones and Behavior. 156. 105441–105441. 19 indexed citations

Veen, J. Edward van, Michaël Shum, Michelle Reid, et al.. (2020). Hypothalamic oestrogen receptor alpha establishes a sexually dimorphic regulatory node of energy expenditure. Nature Metabolism. 2(4). 351–363. 66 indexed citations

Zhang, Zhi, Fernando MCV Reis, Yanlin He, et al.. (2020). Estrogen-sensitive medial preoptic area neurons coordinate torpor in mice. Nature Communications. 11(1). 6378–6378. 60 indexed citations

Massa, Megan G. & Stephanie M. Correa. (2020). Sexes on the brain: Sex as multiple biological variables in the neuronal control of feeding. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(10). 165840–165840. 17 indexed citations

Massa, Megan G., Christina David, Stefanie Jörg, et al.. (2017). Testosterone Differentially Affects T Cells and Neurons in Murine and Human Models of Neuroinflammation and Neurodegeneration. American Journal Of Pathology. 187(7). 1613–1622. 32 indexed citations

Massa, Megan G., Barbara Gisevius, Sarah Hirschberg, et al.. (2016). Multiple Sclerosis Patient-Specific Primary Neurons Differentiated from Urinary Renal Epithelial Cells via Induced Pluripotent Stem Cells. PLoS ONE. 11(5). e0155274–e0155274. 17 indexed citations

Berg, Johannes, Alexander Duscha, Megan G. Massa, et al.. (2016). The immunomodulatory effect of laquinimod in CNS autoimmunity is mediated by the aryl hydrocarbon receptor. Journal of Neuroimmunology. 298. 9–15. 27 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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