Sreemathi Logan

5.1k total citations · 1 hit paper
34 papers, 3.8k citations indexed

About

Sreemathi Logan is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sreemathi Logan has authored 34 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sreemathi Logan's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Mitochondrial Function and Pathology (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Sreemathi Logan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Mitochondrial Function and Pathology (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Sreemathi Logan collaborates with scholars based in United States, Hungary and South Korea. Sreemathi Logan's co-authors include Erika Maus, Robert Vassar, R. Stephen Berry, Sarah L. Cole, Angela Guillozet-Bongaarts, Linda Van Eldik, Masuo Ohno, Holly D. Oakley, Pei Shao and John F. Disterhoft and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Sreemathi Logan

34 papers receiving 3.7k citations

Hit Papers

Intraneuronal β-Amyloid Aggregates, Neurodegeneration, an... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k 2.5k

Peers

Sreemathi Logan
Erika Maus United States
Holly D. Oakley United States
Dick Terwel Belgium
Fengrong Yan United States
Eloïse Hudry United States
Wayne W. Poon United States
Erika Maus United States
Sreemathi Logan
Citations per year, relative to Sreemathi Logan Sreemathi Logan (= 1×) peers Erika Maus

Countries citing papers authored by Sreemathi Logan

Since Specialization
Citations

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

Fields of papers citing papers by Sreemathi Logan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sreemathi Logan. 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 Sreemathi Logan. The network helps show where Sreemathi Logan may publish in the future.

Co-authorship network of co-authors of Sreemathi Logan

This figure shows the co-authorship network connecting the top 25 collaborators of Sreemathi Logan. A scholar is included among the top collaborators of Sreemathi Logan 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 Sreemathi Logan. Sreemathi Logan 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.
Ranjit, Rojina, et al.. (2025). Cellular Senescence Is a Central Driver of Cognitive Disparities in Aging. Aging Cell. 24(6). e70041–e70041. 2 indexed citations
2.
Logan, Sreemathi, et al.. (2024). Simultaneous quantitative respirometry and fluorometric assays in dissected hippocampal tissue from mice. STAR Protocols. 5(2). 102988–102988. 2 indexed citations
3.
Rogers, Janet, Steven D. Hartson, Nidheesh Thadathil, et al.. (2023). Intracellular iron accumulation facilitates mycobacterial infection in old mouse macrophages. GeroScience. 46(2). 2739–2754. 4 indexed citations
4.
Sathiaseelan, Roshini, Bumsoo Ahn, Michael B. Stout, et al.. (2023). A Genetically Heterogeneous Rat Model with Divergent Mitochondrial Genomes. The Journals of Gerontology Series A. 78(5). 771–779. 6 indexed citations
5.
Logan, Sreemathi, et al.. (2023). Progressive cognitive impairment after recovery from neuroinvasive and non-neuroinvasive Listeria monocytogenes infection. Frontiers in Immunology. 14. 1146690–1146690. 3 indexed citations
6.
Nagaraja, Raghavendra Y., Daniel B. Owen, Rojina Ranjit, et al.. (2022). Selective Ablation of Sod2 in Astrocytes Induces Sex-Specific Effects on Cognitive Function, d-Serine Availability, and Astrogliosis. Journal of Neuroscience. 42(31). 5992–6006. 16 indexed citations
7.
Lee, Young Il, Yun Gi Kim, Jin Chul Ahn, et al.. (2019). Dysregulation of the SNARE-binding protein Munc18-1 impairs BDNF secretion and synaptic neurotransmission: a novel interventional target to protect the aging brain. GeroScience. 41(2). 109–123. 12 indexed citations
8.
Logan, Sreemathi, et al.. (2019). Accelerated decline in cognition in a mouse model of increased oxidative stress. GeroScience. 41(5). 591–607. 40 indexed citations
9.
Logan, Sreemathi, Gavin Pharaoh, M. Caleb Marlin, et al.. (2018). Insulin-like growth factor receptor signaling regulates working memory, mitochondrial metabolism, and amyloid-β uptake in astrocytes. Molecular Metabolism. 9. 141–155. 134 indexed citations
10.
Logan, Sreemathi, Daniel B. Owen, Sixia Chen, et al.. (2018). Simultaneous assessment of cognitive function, circadian rhythm, and spontaneous activity in aging mice. GeroScience. 40(2). 123–137. 32 indexed citations
11.
Ashpole, Nicole M., Sreemathi Logan, Andriy Yabluchanskiy, et al.. (2017). IGF-1 has sexually dimorphic, pleiotropic, and time-dependent effects on healthspan, pathology, and lifespan. GeroScience. 39(2). 129–145. 110 indexed citations
12.
Hadad, Niran, Dustin R. Masser, Sreemathi Logan, et al.. (2016). Absence of genomic hypomethylation or regulation of cytosine-modifying enzymes with aging in male and female mice. Epigenetics & Chromatin. 9(1). 30–30. 38 indexed citations
13.
Ashpole, Nicole M., Sreemathi Logan, Erik L. Hodges, et al.. (2016). Differential effects of IGF-1 deficiency during the life span on structural and biomechanical properties in the tibia of aged mice. AGE. 38(2). 38–38. 19 indexed citations
14.
Agbaga, Martin‐Paul, Sreemathi Logan, Richard S. Brush, & Robert E. Anderson. (2014). Biosynthesis of Very Long-Chain Polyunsaturated Fatty Acids in Hepatocytes Expressing ELOVL4. Advances in experimental medicine and biology. 801. 631–636. 8 indexed citations
15.
Logan, Sreemathi, Martin‐Paul Agbaga, Michael D. Chan, Richard S. Brush, & Robert E. Anderson. (2014). Endoplasmic reticulum microenvironment and conserved histidines govern ELOVL4 fatty acid elongase activity. Journal of Lipid Research. 55(4). 698–708. 21 indexed citations
16.
Logan, Sreemathi & Robert E. Anderson. (2014). Dominant Stargardt Macular Dystrophy (STGD3) and ELOVL4. Advances in experimental medicine and biology. 801. 447–453. 13 indexed citations
17.
Yu, Man, Sreemathi Logan, Richard S. Brush, et al.. (2011). ELOVL4 protein preferentially elongates 20:5n3 to very long chain PUFAs over 20:4n6 and 22:6n3. Journal of Lipid Research. 53(3). 494–504. 51 indexed citations
18.
Pereira, H. Anne, et al.. (2009). Candidacidal activity of synthetic peptides based on the antimicrobial domain of the neutrophil-derived protein, CAP37. Medical Mycology. 48(2). 1–11. 12 indexed citations
19.
Zhao, Jie, Yifan Fu, Marina V. Yasvoina, et al.. (2007). β-Site Amyloid Precursor Protein Cleaving Enzyme 1 Levels Become Elevated in Neurons around Amyloid Plaques: Implications for Alzheimer's Disease Pathogenesis. Journal of Neuroscience. 27(14). 3639–3649. 316 indexed citations
20.
Oakley, Holly D., Sarah L. Cole, Sreemathi Logan, et al.. (2006). Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formation. Journal of Neuroscience. 26(40). 10129–10140. 2544 indexed citations breakdown →

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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