Nada M. Porter

5.5k total citations · 1 hit paper
44 papers, 4.4k citations indexed

About

Nada M. Porter is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Nada M. Porter has authored 44 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 17 papers in Physiology. Recurrent topics in Nada M. Porter's work include Neuroscience and Neuropharmacology Research (20 papers), Alzheimer's disease research and treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Nada M. Porter is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Alzheimer's disease research and treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Nada M. Porter collaborates with scholars based in United States, Belgium and United Kingdom. Nada M. Porter's co-authors include Philip W. Landfield, Eric M. Blalock, Kuey-Chu Chen, Olivier Thibault, Lawrence D. Brewer, Kuey Chu Chen, James W. Geddes, William R. Markesbery, Véronique Thibault and Inga Kadish and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Nada M. Porter

44 papers receiving 4.3k 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.

Incipient Alzheimer's disease: Microarray correlation analyses reveal major transcriptional and tumor suppressor responses

2004 808 citations Eric M. Blalock, Kuey Chu Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nada M. Porter United States	31	1.9k	1.5k	1.3k	919	520	44	4.4k
Olivier Thibault United States	35	1.8k 0.9×	1.3k 0.8×	2.2k 1.6×	823 0.9×	274 0.5×	77	4.4k
Orly Lazarov United States	39	1.8k 0.9×	2.4k 1.6×	2.2k 1.6×	1.7k 1.8×	639 1.2×	66	6.4k
R. Dayne Mayfield United States	36	2.0k 1.0×	659 0.4×	1.6k 1.2×	962 1.0×	365 0.7×	91	4.0k
Michael P. McDonald United States	39	2.5k 1.3×	1.9k 1.2×	1.6k 1.2×	533 0.6×	113 0.2×	72	5.3k
Jenna C. Carroll United States	23	1.2k 0.6×	1.8k 1.2×	1.5k 1.1×	762 0.8×	131 0.3×	25	4.8k
Annakaisa Haapasalo Finland	36	2.1k 1.1×	2.0k 1.3×	1.4k 1.1×	862 0.9×	117 0.2×	109	5.3k
Jill Richardson United Kingdom	40	2.8k 1.4×	2.6k 1.7×	1.5k 1.1×	1.5k 1.7×	215 0.4×	119	6.8k
Catherine Bergeron Canada	31	2.0k 1.0×	2.5k 1.6×	1.8k 1.3×	1.1k 1.2×	168 0.3×	58	5.6k
Hongxin Dong United States	35	956 0.5×	1.5k 1.0×	916 0.7×	535 0.6×	265 0.5×	91	4.0k
Alexander A. Sosunov United States	29	2.7k 1.4×	2.3k 1.5×	1.4k 1.0×	886 1.0×	120 0.2×	56	6.1k

Countries citing papers authored by Nada M. Porter

Since Specialization

Citations

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

Fields of papers citing papers by Nada M. Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada M. Porter

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

All Works

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20 of 20 papers shown

Anderson, Katie L., et al.. (2018). Broadening the definition of brain insulin resistance in aging and Alzheimer's disease. Experimental Neurology. 313. 79–87. 47 indexed citations

Gant, John C., Eric M. Blalock, Kuey-Chu Chen, et al.. (2017). FK506-Binding Protein 12.6/1b, a Negative Regulator of [Ca²⁺], Rescues Memory and Restores Genomic Regulation in the Hippocampus of Aging Rats. Journal of Neuroscience. 38(4). 1030–1041. 21 indexed citations

Anderson, Katie L., et al.. (2017). Novel calcium-related targets of insulin in hippocampal neurons. Neuroscience. 364. 130–142. 18 indexed citations

Anderson, Katie L., et al.. (2016). Calcium's role as nuanced modulator of cellular physiology in the brain. Biochemical and Biophysical Research Communications. 483(4). 981–987. 30 indexed citations

Niedowicz, Dana M., Valerie L. Reeves, Thomas L Platt, et al.. (2014). Obesity and diabetes cause cognitive dysfunction in the absence of accelerated β-amyloid deposition in a novel murine model of mixed or vascular dementia. Acta Neuropathologica Communications. 2(1). 64–64. 65 indexed citations

Keeney, Jeriel T. R., Sarah Förster, Rukhsana Sultana, et al.. (2013). Dietary vitamin D deficiency in rats from middle to old age leads to elevated tyrosine nitration and proteomics changes in levels of key proteins in brain: Implications for low vitamin D-dependent age-related cognitive decline. Free Radical Biology and Medicine. 65. 324–334. 65 indexed citations

Porter, Nada M., Heather M. Buechel, Amy L.S. Dowling, et al.. (2012). Hippocampal CA1 Transcriptional Profile of Sleep Deprivation: Relation to Aging and Stress. PLoS ONE. 7(7). e40128–e40128. 23 indexed citations

Latimer, Caitlin S., James L. Searcy, Lawrence D. Brewer, et al.. (2011). Reversal of Glial and Neurovascular Markers of Unhealthy Brain Aging by Exercise in Middle-Aged Female Mice. PLoS ONE. 6(10). e26812–e26812. 68 indexed citations

Pancani, Tristano, Katie L. Anderson, Nada M. Porter, & Olivier Thibault. (2011). Imaging of a glucose analog, calcium and NADH in neurons and astrocytes: Dynamic responses to depolarization and sensitivity to pioglitazone. Cell Calcium. 50(6). 548–558. 19 indexed citations

10.

Blalock, Eric M., Richard Grondin, Kuey-Chu Chen, et al.. (2010). Aging-Related Gene Expression in Hippocampus Proper Compared with Dentate Gyrus Is Selectively Associated with Metabolic Syndrome Variables in Rhesus Monkeys. Journal of Neuroscience. 30(17). 6058–6071. 53 indexed citations

11.

Blalock, Eric M., Tristano Pancani, James L. Searcy, et al.. (2010). Effects of Long-Term Pioglitazone Treatment on Peripheral and Central Markers of Aging. PLoS ONE. 5(4). e10405–e10405. 36 indexed citations

12.

Brewer, Lawrence D., et al.. (2009). Estradiol Reverses a Calcium-Related Biomarker of Brain Aging in Female Rats. Journal of Neuroscience. 29(19). 6058–6067. 35 indexed citations

13.

Norris, Christopher M., Eric M. Blalock, Kuey-Chu Chen, et al.. (2008). Hippocampal ‘zipper’ slice studies reveal a necessary role for calcineurin in the increased activity of L-type Ca2+ channels with aging. Neurobiology of Aging. 31(2). 328–338. 34 indexed citations

14.

Brewer, Lawrence D., Olivier Thibault, Véronique Thibault, et al.. (2007). Increased vulnerability of hippocampal neurons with age in culture: Temporal association with increases in NMDA receptor current, NR2A subunit expression and recruitment of L-type calcium channels. Brain Research. 1151. 20–31. 81 indexed citations

15.

Rowe, Wayne, Eric M. Blalock, Kuey-Chu Chen, et al.. (2007). Hippocampal Expression Analyses Reveal Selective Association of Immediate-Early, Neuroenergetic, and Myelinogenic Pathways with Cognitive Impairment in Aged Rats. Journal of Neuroscience. 27(12). 3098–3110. 182 indexed citations

16.

Norris, Christopher M., Inga Kadish, Eric M. Blalock, et al.. (2005). Calcineurin Triggers Reactive/Inflammatory Processes in Astrocytes and Is Upregulated in Aging and Alzheimer's Models. Journal of Neuroscience. 25(18). 4649–4658. 197 indexed citations

17.

Porter, Nada M., et al.. (2002). Sustained Ca2+-induced Ca2+-release underlies the post-glutamate lethal Ca2+ plateau in older cultured hippocampal neurons. European Journal of Pharmacology. 447(2-3). 189–200. 28 indexed citations

18.

Thibault, Olivier, Nada M. Porter, Kuey-Chu Chen, et al.. (1998). Calcium dysregulation in neuronal aging and Alzheimer's disease: history and new directions. Cell Calcium. 24(5-6). 417–433. 141 indexed citations

19.

Thibault, Olivier, Mary L. Mazzanti, Eric M. Blalock, Nada M. Porter, & Philip W. Landfield. (1995). Single-channel and whole-cell studies of calcium currents in young and aged rat hippocampal slice neurons. Journal of Neuroscience Methods. 59(1). 77–83. 13 indexed citations

20.

Moss, Stephen J., Trevor G. Smart, Nada M. Porter, et al.. (1990). Cloned GABA receptors are maintained in a stable cell line: allosteric and channel properties. European Journal of Pharmacology Molecular Pharmacology. 189(1). 77–88. 52 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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