Jeffrey N. Keller

21.0k total citations · 2 hit papers
226 papers, 17.3k citations indexed

About

Jeffrey N. Keller is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Jeffrey N. Keller has authored 226 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 84 papers in Physiology and 34 papers in Cell Biology. Recurrent topics in Jeffrey N. Keller's work include Alzheimer's disease research and treatments (55 papers), Ubiquitin and proteasome pathways (40 papers) and Endoplasmic Reticulum Stress and Disease (31 papers). Jeffrey N. Keller is often cited by papers focused on Alzheimer's disease research and treatments (55 papers), Ubiquitin and proteasome pathways (40 papers) and Endoplasmic Reticulum Stress and Disease (31 papers). Jeffrey N. Keller collaborates with scholars based in United States, Italy and Argentina. Jeffrey N. Keller's co-authors include William R. Markesbery, Annadora J. Bruce‐Keller, Mark P. Mattson, Qunxing Ding, Keith B. Hanni, Edgardo Dimayuga, Sunita Gupta, D. Allan Butterfield, Le Zhang and Stephen W. Scheff and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jeffrey N. Keller

218 papers receiving 17.0k citations

Hit Papers

Mitochondrial Manganese Superoxide Dismutase Prevents Neu... 1998 2026 2007 2016 1998 2000 200 400 600

Peers

Jeffrey N. Keller
Andrey Y. Abramov United Kingdom
D. Allan Butterfield United States
Sam Gandy United States
Linda J. Van Eldik United States
Russell H. Swerdlow United States
Jeffrey N. Keller
Citations per year, relative to Jeffrey N. Keller Jeffrey N. Keller (= 1×) peers Suzanne M. de la Monte

Countries citing papers authored by Jeffrey N. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey N. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey N. Keller. 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 Jeffrey N. Keller. The network helps show where Jeffrey N. Keller may publish in the future.

Co-authorship network of co-authors of Jeffrey N. Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey N. Keller. A scholar is included among the top collaborators of Jeffrey N. Keller 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 Jeffrey N. Keller. Jeffrey N. Keller 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
2.
Marlatt, Kara L., Guillermo Sánchez‐Delgado, Robbie A. Beyl, et al.. (2025). Associations between physical activity, brain health, cognitive function, and circulating GPLD1 in healthy older (65–85 years) individuals. GeroScience. 47(3). 3821–3834. 1 indexed citations
3.
Reed, Christopher, et al.. (2023). Four year practice effects on the RBANS in a longitudinal study of older adults. Applied Neuropsychology Adult. 32(2). 485–491. 4 indexed citations
4.
Calamia, Matthew, Daniel S. Weitzner, Alyssa N. De Vito, et al.. (2021). Feasibility and validation of a web-based platform for the self-administered patient collection of demographics, health status, anxiety, depression, and cognition in community dwelling elderly. PLoS ONE. 16(1). e0244962–e0244962. 8 indexed citations
5.
Calamia, Matthew, Alyssa N. De Vito, John Bernstein, et al.. (2018). Pedometer-assessed steps per day as a predictor of cognitive performance in older adults.. Neuropsychology. 32(8). 941–949. 16 indexed citations
6.
MacAulay, Rebecca K., Matthew Calamia, Alex S. Cohen, et al.. (2017). Understanding heterogeneity in older adults: Latent growth curve modeling of cognitive functioning. Journal of Clinical and Experimental Neuropsychology. 40(3). 292–302. 15 indexed citations
7.
Qosa, Hisham, Harry LeVine, Jeffrey N. Keller, & Amal Kaddoumi. (2014). Mixed oligomers and monomeric amyloid-β disrupts endothelial cells integrity and reduces monomeric amyloid-β transport across hCMEC/D3 cell line as an in vitro blood–brain barrier model. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(9). 1806–1815. 47 indexed citations
8.
Brouillette, Robert M., Heather Foil, H. Raymond Allen, et al.. (2013). Feasibility, Reliability, and Validity of a Smartphone Based Application for the Assessment of Cognitive Function in the Elderly. PLoS ONE. 8(6). e65925–e65925. 83 indexed citations
9.
Niedowicz, Dana M., Tina L. Beckett, Sergey V. Matveev, et al.. (2012). Pittsburgh compound B and the postmortem diagnosis of alzheimer disease. Annals of Neurology. 72(4). 564–570. 29 indexed citations
10.
Niedowicz, Dana M., Christa M. Studzinski, Adam M. Weidner, et al.. (2012). Leptin regulates amyloid β production via the γ-secretase complex. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(3). 439–444. 44 indexed citations
11.
Dasuri, Kalavathi, Philip J. Ebenezer, Romina M. Uranga, et al.. (2011). Amino acid analog toxicity in primary rat neuronal and astrocyte cultures: Implications for protein misfolding and TDP‐43 regulation. Journal of Neuroscience Research. 89(9). 1471–1477. 11 indexed citations
12.
Zhang, Le, Philip J. Ebenezer, Kalavathi Dasuri, et al.. (2009). Proteasome inhibition modulates kinase activation in neural cells: Relevence to ubiquitination, ribosomes, and survival. Journal of Neuroscience Research. 87(14). 3231–3238. 10 indexed citations
13.
Mojžíš, Ján, et al.. (2008). Preventive Effects of Flavonoids on Alloxan-Induced Diabetes Mellitus in Rats. Acta Veterinaria Brno. 77(2). 175–182. 84 indexed citations
14.
Tangpong, Jitbanjong, Jeffrey N. Keller, Michael P. Murphy, et al.. (2006). β-Amyloid Mediated Nitration of Manganese Superoxide Dismutase. American Journal Of Pathology. 168(5). 1608–1618. 117 indexed citations
15.
Butterfield, D. Allan, H. Fai Poon, Daret St. Clair, et al.. (2006). Redox proteomics identification of oxidatively modified hippocampal proteins in mild cognitive impairment: Insights into the development of Alzheimer's disease. Neurobiology of Disease. 22(2). 223–232. 309 indexed citations
16.
Sullivan, Patrick G., Alexander G. Rabchevsky, Jeffrey N. Keller, et al.. (2004). Intrinsic differences in brain and spinal cord mitochondria: Implication for therapeutic interventions. The Journal of Comparative Neurology. 474(4). 524–534. 103 indexed citations
17.
Dimayuga, Filomena O., Qunxing Ding, Jeffrey N. Keller, et al.. (2003). The neuregulin GGF2 attenuates free radical release from activated microglial cells. Journal of Neuroimmunology. 136(1-2). 67–74. 51 indexed citations
18.
Gee, Jillian, et al.. (2002). Analysis of Werner’s expression within the brain and primary neuronal culture. Brain Research. 940(1-2). 44–48. 11 indexed citations
19.
Keller, Jeffrey N., Christopher M. Lauderback, D. Allan Butterfield, et al.. (2000). Amyloid β‐Peptide Effects on Synaptosomes from Apolipoprotein E‐Deficient Mice. Journal of Neurochemistry. 74(4). 1579–1586. 52 indexed citations
20.
Sullivan, Patrick G., Jeffrey N. Keller, Mark P. Mattson, & Stephen W. Scheff. (1998). Traumatic Brain Injury Alters Synaptic Homeostasis: Implications for Impaired Mitochondrial and Transport Function. Journal of Neurotrauma. 15(10). 789–798. 155 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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