Mary C. McKenna

5.8k total citations
95 papers, 4.1k citations indexed

About

Mary C. McKenna is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Mary C. McKenna has authored 95 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 34 papers in Cellular and Molecular Neuroscience and 20 papers in Clinical Biochemistry. Recurrent topics in Mary C. McKenna's work include Neuroscience and Neuropharmacology Research (32 papers), Mitochondrial Function and Pathology (29 papers) and Metabolism and Genetic Disorders (20 papers). Mary C. McKenna is often cited by papers focused on Neuroscience and Neuropharmacology Research (32 papers), Mitochondrial Function and Pathology (29 papers) and Metabolism and Genetic Disorders (20 papers). Mary C. McKenna collaborates with scholars based in United States, Ireland and Denmark. Mary C. McKenna's co-authors include Joseph Stevenson, Irene B. Hopkins, Gary Fiskum, J. Tyson Tildón, Gustavo C. Ferreira, Ursula Sonnewald, Susanna Scafidi, Arne Schousboe, Helle S. Waagepetersen and Courtney Robertson and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Neurology.

In The Last Decade

Mary C. McKenna

93 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary C. McKenna United States 36 1.8k 1.6k 865 627 556 95 4.1k
W. David Lust United States 39 2.1k 1.1× 1.6k 1.0× 1.2k 1.4× 378 0.6× 776 1.4× 110 4.8k
Wan Sung Choi South Korea 37 2.2k 1.2× 886 0.6× 1.0k 1.2× 279 0.4× 646 1.2× 163 4.9k
Jochen Klein Germany 41 2.0k 1.1× 1.3k 0.8× 830 1.0× 182 0.3× 858 1.5× 144 4.8k
Anthony S. Basile United States 45 2.4k 1.3× 2.8k 1.8× 718 0.8× 176 0.3× 757 1.4× 148 6.0k
Tore Eid United States 38 1.6k 0.9× 2.6k 1.6× 619 0.7× 191 0.3× 598 1.1× 84 4.4k
Robert Nisticò Italy 43 1.8k 1.0× 1.7k 1.1× 1.3k 1.5× 190 0.3× 976 1.8× 149 4.9k
Maria Ankarcrona Sweden 36 4.9k 2.7× 2.2k 1.4× 2.8k 3.2× 380 0.6× 777 1.4× 70 8.0k
Samantha L. Budd United Kingdom 20 2.2k 1.2× 1.4k 0.9× 722 0.8× 255 0.4× 441 0.8× 23 3.5k
Francesca Bosetti United States 39 1.5k 0.8× 725 0.5× 1.2k 1.4× 144 0.2× 1.4k 2.5× 68 4.9k
Mireille Bélanger Canada 17 1.3k 0.7× 890 0.6× 930 1.1× 218 0.3× 926 1.7× 17 3.4k

Countries citing papers authored by Mary C. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. McKenna. 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 Mary C. McKenna. The network helps show where Mary C. McKenna may publish in the future.

Co-authorship network of co-authors of Mary C. McKenna

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. McKenna. A scholar is included among the top collaborators of Mary C. McKenna 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 Mary C. McKenna. Mary C. McKenna 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.
Tahedl, Marlene, Mary C. McKenna, Siobhán Hutchinson, et al.. (2025). Cerebellar dysfunction in frontotemporal dementia: intra-cerebellar pathology and cerebellar network degeneration. Journal of Neurology. 272(4). 289–289. 1 indexed citations
2.
McKenna, Mary C., Rachel Paul, Kirsten Sasaki, & Charles E. Miller. (2023). 10145 Reproductive Outcomes in Patients with Secondary Infertility Undergoing Laparoscopic Isthmocele Repair: A Retrospective Study. Journal of Minimally Invasive Gynecology. 30(11). S104–S104. 1 indexed citations
3.
4.
McKenna, Mary C., Noel Fanning, & Simon Cronin. (2020). Focal Cerebral Arteriopathy in Young Adult Patients With Stroke. Stroke. 51(5). 1596–1599. 6 indexed citations
5.
Barros, L. Felipe, Arne Schousboe, & Mary C. McKenna. (2019). The 13th International Conference on Brain Energy Metabolism: “How Metabolism Dictates Neurotransmission, Function and Behavior”. Journal of Neuroscience Research. 97(8). 849–853.
6.
McKenna, Mary C., Patrícia Fernanda Schuck, & Gustavo C. Ferreira. (2018). Fundamentals of CNS energy metabolism and alterations in lysosomal storage diseases. Journal of Neurochemistry. 148(5). 590–599. 21 indexed citations
7.
Waddell, Jaylyn, et al.. (2015). Sex differences in cell genesis, hippocampal volume and behavioral outcomes in a rat model of neonatal HI. Experimental Neurology. 275. 285–295. 45 indexed citations
8.
Shi, Da, Su Xu, Jaylyn Waddell, et al.. (2012). Longitudinal in vivo developmental changes of metabolites in the hippocampus of Fmr1 knockout mice. Journal of Neurochemistry. 123(6). 971–981. 11 indexed citations
9.
Saunders, Matthew J, et al.. (2012). PMO-165 Potential impact of protease inhibitors in the South West Peninsula hepatitis C population. Gut. 61(Suppl 2). A140.3–A141. 2 indexed citations
10.
11.
Yu, Albert Cheung Hoi, Mary C. McKenna, & Arne Schousboe. (2009). The Third ISN Special Neurochemistry Conference – 8th International Meeting on Brain Energy Metabolism –‘Neurodegeneration and Regeneration’. Journal of Neurochemistry. 109(s1). 1–2. 1 indexed citations
12.
Fiskum, Gary, Camelia A. Danilov, Zara Mehrabian, et al.. (2008). Postischemic Oxidative Stress Promotes Mitochondrial Metabolic Failure in Neurons and Astrocytes. Annals of the New York Academy of Sciences. 1147(1). 129–138. 35 indexed citations
13.
McKenna, Mary C. & Ursula Sonnewald. (2004). GABA alters the metabolic fate of [U‐13C]glutamate in cultured cortical astrocytes. Journal of Neuroscience Research. 79(1-2). 81–87. 18 indexed citations
14.
Suhr, Julie A., Janet Grace, Jeffrey C. Allen, J. Victor Nadler, & Mary C. McKenna. (1998). Quantitative and Qualitative Performance of Stroke Versus Normal Elderly on Six Clock Drawing Systems. Archives of Clinical Neuropsychology. 13(6). 495–502. 41 indexed citations
15.
Paik, Woojin, et al.. (1996). Categorizing and standardizing proper nouns for efficient information retrieval. MIT Press eBooks. 61–73. 27 indexed citations
16.
McKenna, Mary C., et al.. (1995). Regulation of mitochondrial and cytosolic malic enzymes from cultured rat brain astrocytes. Neurochemical Research. 20(12). 1491–1501. 50 indexed citations
17.
Liddy, Elizabeth D., et al.. (1994). Document retrieval using linguistic knowledge. 106–114. 5 indexed citations
18.
McKenna, Mary C., et al.. (1993). Regulation of Energy Metabolism in Synaptic Terminals and Cultured Rat Brain Astrocytes: Differences Revealed Using Aminooxyacetate. Developmental Neuroscience. 15(3-5). 320–329. 146 indexed citations
19.
McKenna, Mary C., et al.. (1986). A Developmental Study of Glycerol Oxidation by Rat Brain. Developmental Neuroscience. 8(1). 53–60. 4 indexed citations
20.
McKenna, Mary C. & J.G. Bieri. (1982). Tissue storage of vitamins A and E in rats drinking or infused with total parenteral nutrition solutions. American Journal of Clinical Nutrition. 35(5). 1010–1017. 16 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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