Nirnath Sah

971 total citations · 1 hit paper
15 papers, 653 citations indexed

About

Nirnath Sah is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nirnath Sah has authored 15 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Nirnath Sah's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Nirnath Sah is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Nirnath Sah collaborates with scholars based in United States, India and Argentina. Nirnath Sah's co-authors include Henriette van Praag, Susan T. Lubejko, Emrah Düzel, Julie A. Mattison, Benjamin Becker, David Berron, Hyo Youl Moon, Emma J. Blain, Andreas Becke and Nigel H. Greig and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Nirnath Sah

15 papers receiving 648 citations

Hit Papers

Running-Induced Systemic Cathepsin B Secretion Is Associa... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirnath Sah United States 10 263 226 126 116 103 15 653
Susan T. Lubejko United States 7 260 1.0× 132 0.6× 124 1.0× 100 0.9× 93 0.9× 10 551
Guido Straten Germany 15 221 0.8× 283 1.3× 348 2.8× 194 1.7× 118 1.1× 15 919
Marlena Wosiski‐Kuhn United States 16 210 0.8× 158 0.7× 120 1.0× 70 0.6× 213 2.1× 21 786
N. A. Malinovskaya Russia 13 166 0.6× 219 1.0× 122 1.0× 110 0.9× 251 2.4× 61 763
Ji‐an Wei China 12 159 0.6× 144 0.6× 150 1.2× 119 1.0× 125 1.2× 19 626
Hye-Sang Park South Korea 17 186 0.7× 121 0.5× 101 0.8× 79 0.7× 97 0.9× 27 641
Mónica A. Maldonado United States 10 207 0.8× 275 1.2× 250 2.0× 56 0.5× 205 2.0× 12 875
В. А. Отеллин Russia 14 146 0.6× 178 0.8× 204 1.6× 166 1.4× 97 0.9× 111 763
Minenori Ishido Japan 9 104 0.4× 251 1.1× 102 0.8× 101 0.9× 55 0.5× 22 461
Tushar K. Bhattacharya United States 13 187 0.7× 120 0.5× 152 1.2× 242 2.1× 257 2.5× 16 681

Countries citing papers authored by Nirnath Sah

Since Specialization
Citations

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

Fields of papers citing papers by Nirnath Sah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirnath Sah

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

All Works

15 of 15 papers shown
1.
Zhu, Xingliang, Yuyoung Joo, Ross A. McDevitt, et al.. (2024). Tdrd3-null mice show post-transcriptional and behavioral impairments associated with neurogenesis and synaptic plasticity. Progress in Neurobiology. 233. 102568–102568. 10 indexed citations
2.
Sharma, Anjali, Nirnath Sah, Rishi Sharma, et al.. (2024). Development of a novel glucose‐dendrimer based therapeutic targeting hyperexcitable neurons in neurological disorders. Bioengineering & Translational Medicine. 9(5). e10655–e10655. 4 indexed citations
3.
Sharma, Rishi, Nirnath Sah, Hyoung‐Tae An, et al.. (2023). Galactosylated hydroxyl‐ polyamidoamine dendrimer targets hepatocytes and improves therapeutic outcomes in a severe model of acetaminophen poisoning‐induced liver failure. Bioengineering & Translational Medicine. 8(3). e10486–e10486. 11 indexed citations
4.
Sah, Nirnath, Zhi Zhang, A. Sharma, et al.. (2023). Dendrimer-Conjugated Glutamate Carboxypeptidase II Inhibitor Restores Microglial Changes in a Rabbit Model of Cerebral Palsy. Developmental Neuroscience. 45(5). 268–275. 2 indexed citations
5.
Sah, Nirnath, Anjali Sharma, Siddharth Gupta, et al.. (2023). Dendrimer nanotherapy targeting of glial dysfunction improves inflammation and neurobehavioral phenotype in adult female Mecp2‐heterozygous mouse model of Rett syndrome. Journal of Neurochemistry. 168(5). 841–854. 5 indexed citations
6.
Sharma, Anjali, Nirnath Sah, Sujatha Kannan, & Rangaramanujam M. Kannan. (2021). Targeted drug delivery for maternal and perinatal health: Challenges and opportunities. Advanced Drug Delivery Reviews. 177. 113950–113950. 23 indexed citations
7.
Modi, Hiren R., Qihong Wang, Nirnath Sah, et al.. (2021). Systemic administration of dendrimer N‐acetyl cysteine improves outcomes and survival following cardiac arrest. Bioengineering & Translational Medicine. 7(1). e10259–e10259. 12 indexed citations
8.
Sah, Nirnath, et al.. (2021). Characterization of microglial phagocytosis and dendrimer nanoparticle uptake in a neonatal rabbit model of cerebral palsy. SHILAP Revista de lepidopterología. 4(4). 2 indexed citations
9.
Terreros‐Roncal, Julia, Miguel Flor‐García, Elena P. Moreno‐Jiménez, et al.. (2019). Activity-Dependent Reconnection of Adult-Born Dentate Granule Cells in a Mouse Model of Frontotemporal Dementia. Journal of Neuroscience. 39(29). 5794–5815. 11 indexed citations
10.
Shen, Minjie, Feifei Wang, Meng Li, et al.. (2019). Reduced mitochondrial fusion and Huntingtin levels contribute to impaired dendritic maturation and behavioral deficits in Fmr1-mutant mice. Nature Neuroscience. 22(3). 386–400. 76 indexed citations
11.
Sah, Nirnath, Benjamin D. Peterson, Susan T. Lubejko, Carmen Vivar, & Henriette van Praag. (2017). Running reorganizes the circuitry of one-week-old adult-born hippocampal neurons. Scientific Reports. 7(1). 10903–10903. 45 indexed citations
12.
Moon, Hyo Youl, Andreas Becke, David Berron, et al.. (2016). Running-Induced Systemic Cathepsin B Secretion Is Associated with Memory Function. Cell Metabolism. 24(2). 332–340. 417 indexed citations breakdown →
13.
Sah, Nirnath & Sujit Kumar Sikdar. (2014). Tonic current throughGABAAreceptors and hyperpolarization‐activated cyclic nucleotide‐gated channels modulate resonance properties of rat subicular pyramidal neurons. European Journal of Neuroscience. 40(1). 2241–2254. 2 indexed citations
14.
Sah, Nirnath & Sujit Kumar Sikdar. (2013). Transition in subicular burst firing neurons from epileptiform activity to suppressed state by feedforward inhibition. European Journal of Neuroscience. 38(4). 2542–2556. 10 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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