Saumyendra N. Sarkar

849 total citations
22 papers, 684 citations indexed

About

Saumyendra N. Sarkar is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Saumyendra N. Sarkar has authored 22 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Neurology and 6 papers in Physiology. Recurrent topics in Saumyendra N. Sarkar's work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (5 papers) and MicroRNA in disease regulation (5 papers). Saumyendra N. Sarkar is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (5 papers) and MicroRNA in disease regulation (5 papers). Saumyendra N. Sarkar collaborates with scholars based in United States and India. Saumyendra N. Sarkar's co-authors include James W. Simpkins, Shao‐Hua Yang, Virginia Pearce, Dominic D. Quintana, Elizabeth B. Engler-Chiurazzi, Xuefang Ren, Ashley E. Russell, Kun Yi, Renqi Huang and Glenn H. Dillon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and NeuroImage.

In The Last Decade

Saumyendra N. Sarkar

21 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saumyendra N. Sarkar United States 16 326 180 128 126 107 22 684
Uday P. Pratap United States 15 260 0.8× 154 0.9× 76 0.6× 49 0.4× 63 0.6× 49 682
Ze‐Xu Wei China 7 373 1.1× 77 0.4× 194 1.5× 90 0.7× 100 0.9× 9 765
Karina Hernández‐Ortega Mexico 16 474 1.5× 81 0.5× 90 0.7× 274 2.2× 136 1.3× 19 863
P. Fernández‐Vizarra Spain 15 420 1.3× 72 0.4× 46 0.4× 352 2.8× 211 2.0× 17 1.0k
Alba Esposito Italy 17 343 1.1× 41 0.2× 75 0.6× 109 0.9× 177 1.7× 20 693
Liesl De Sevilla United States 10 161 0.5× 141 0.8× 24 0.2× 94 0.7× 110 1.0× 12 578
Alessia Brusadelli Italy 7 152 0.5× 360 2.0× 45 0.4× 97 0.8× 102 1.0× 9 824
Kyosuke Uno Japan 16 464 1.4× 71 0.4× 66 0.5× 79 0.6× 221 2.1× 44 789
Masahito Shimojo Japan 19 576 1.8× 123 0.7× 147 1.1× 47 0.4× 227 2.1× 31 867
Stefanie Engert Germany 6 153 0.5× 119 0.7× 59 0.5× 124 1.0× 111 1.0× 7 489

Countries citing papers authored by Saumyendra N. Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Saumyendra N. Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumyendra N. Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Saumyendra N. Sarkar. A scholar is included among the top collaborators of Saumyendra N. Sarkar 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 Saumyendra N. Sarkar. Saumyendra N. Sarkar 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.
Sarkar, Saumyendra N., et al.. (2025). Characterizations of Translation Generated Dual Frames Using Infimum Cosine Angle. Results in Mathematics. 80(1).
2.
Sarkar, Saumyendra N., et al.. (2024). Brain-Wide Transgene Expression in Mice by Systemic Injection of Genetically Engineered Exosomes: CAP-Exosomes. Pharmaceuticals. 17(3). 270–270. 6 indexed citations
3.
Russell, Ashley E., et al.. (2021). miR-146a Dysregulates Energy Metabolism During Neuroinflammation. Journal of Neuroimmune Pharmacology. 17(1-2). 228–241. 27 indexed citations
4.
Quintana, Dominic D., Jorge A. García, Elizabeth B. Engler-Chiurazzi, et al.. (2021). Microvascular degeneration occurs before plaque onset and progresses with age in 3xTg AD mice. Neurobiology of Aging. 105. 115–128. 17 indexed citations
5.
Hu, Heng, Samuel A. Sprowls, Saumyendra N. Sarkar, et al.. (2020). MiR-34a Interacts with Cytochrome c and Shapes Stroke Outcomes. Scientific Reports. 10(1). 3233–3233. 25 indexed citations
6.
Sarkar, Saumyendra N., et al.. (2020). Medroxyprogesterone Acetate Impairs Amyloid Beta Degradation in a Matrix Metalloproteinase-9 Dependent Manner. Frontiers in Aging Neuroscience. 12. 92–92. 13 indexed citations
7.
Quintana, Dominic D., Jorge A. García, Stephanie L. Rellick, et al.. (2020). Amyloid-β Causes Mitochondrial Dysfunction via a Ca2+-Driven Upregulation of Oxidative Phosphorylation and Superoxide Production in Cerebrovascular Endothelial Cells. Journal of Alzheimer s Disease. 75(1). 119–138. 28 indexed citations
8.
Quintana, Dominic D., Sarah E. Lewis, Jorge A. García, et al.. (2019). The cerebral angiome: High resolution MicroCT imaging of the whole brain cerebrovasculature in female and male mice. NeuroImage. 202. 116109–116109. 26 indexed citations
9.
Sarkar, Saumyendra N., et al.. (2018). MicroRNAs and the Genetic Nexus of Brain Aging, Neuroinflammation, Neurodegeneration, and Brain Trauma. Aging and Disease. 10(2). 329–329. 33 indexed citations
10.
Ren, Xuefang, Elizabeth B. Engler-Chiurazzi, Ashley E. Russell, et al.. (2018). MiR-34a and stroke: Assessment of non-modifiable biological risk factors in cerebral ischemia. Neurochemistry International. 127. 73–79. 17 indexed citations
11.
Quintana, Dominic D., Jorge A. García, Saumyendra N. Sarkar, et al.. (2018). Hypoxia-reoxygenation of primary astrocytes results in a redistribution of mitochondrial size and mitophagy. Mitochondrion. 47. 244–255. 38 indexed citations
12.
Sarkar, Saumyendra N., et al.. (2011). Estrogen-induced signaling attenuates soluble Aβ peptide-mediated dysfunction of pathways in synaptic plasticity. Brain Research. 1383. 1–12. 20 indexed citations
13.
Sarkar, Saumyendra N., L.T. Smith, Susan M. Logan, & James W. Simpkins. (2010). Estrogen-induced activation of extracellular signal-regulated kinase signaling triggers dendritic resident mRNA translation. Neuroscience. 170(4). 1080–1085. 21 indexed citations
14.
Yang, Shao-Hua, Saumyendra N. Sarkar, Ran Liu, et al.. (2009). Estrogen Receptor β as a Mitochondrial Vulnerability Factor. Journal of Biological Chemistry. 284(14). 9540–9548. 69 indexed citations
15.
Sarkar, Saumyendra N., et al.. (2008). Estrogens directly potentiate neuronal L-type Ca 2+ channels. Proceedings of the National Academy of Sciences. 105(39). 15148–15153. 90 indexed citations
16.
Simpkins, James W., Shao‐Hua Yang, Saumyendra N. Sarkar, & Virginia Pearce. (2008). Estrogen actions on mitochondria—Physiological and pathological implications. Molecular and Cellular Endocrinology. 290(1-2). 51–59. 123 indexed citations
17.
Wen, Yi, Evelyn J. Perez, Pattie S. Green, Saumyendra N. Sarkar, & James W. Simpkins. (2004). nNOS is involved in estrogen mediated neuroprotection in neuroblastoma cells. Neuroreport. 15(9). 1515–1518. 21 indexed citations
18.
Sarkar, Saumyendra N. & Hriday K. Das. (2003). Regulatory roles of presenilin‐1 and nicastrin in neuronal differentiation during in vitro neurogenesis. Journal of Neurochemistry. 87(2). 333–343. 18 indexed citations
20.
Mukherjee, Sunil Kumar, et al.. (1983). Propagation of elastic waves in DNA. International Journal of Mathematics and Mathematical Sciences. 6(4). 767–781. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026