Jayanth Chandran

2.1k total citations
18 papers, 1.1k citations indexed

About

Jayanth Chandran is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Jayanth Chandran has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Neurology and 6 papers in Genetics. Recurrent topics in Jayanth Chandran's work include Virus-based gene therapy research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Jayanth Chandran is often cited by papers focused on Virus-based gene therapy research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Jayanth Chandran collaborates with scholars based in United States, United Kingdom and France. Jayanth Chandran's co-authors include Huaibin Cai, Hoon Shim, Chen Lai, Xian Lin, Mark Cookson, Chengsong Xie, Rili Ahmad, Jinhui Ding, Chris McLendon and Peng‐Peng Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Jayanth Chandran

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayanth Chandran United States 15 609 504 336 178 171 18 1.1k
Eva Teuling Netherlands 12 444 0.7× 462 0.9× 274 0.8× 237 1.3× 178 1.0× 14 1.1k
Hoon Shim United States 15 754 1.2× 520 1.0× 434 1.3× 232 1.3× 228 1.3× 20 1.3k
Amber D. Van Laar United States 16 716 1.2× 445 0.9× 475 1.4× 123 0.7× 158 0.9× 21 1.2k
Natalie Connor‐Robson United Kingdom 18 690 1.1× 350 0.7× 371 1.1× 153 0.9× 149 0.9× 26 1.0k
Owen M. Peters United Kingdom 21 685 1.1× 466 0.9× 342 1.0× 163 0.9× 164 1.0× 28 1.2k
Julien Couthouis United States 16 418 0.7× 595 1.2× 186 0.6× 82 0.5× 249 1.5× 22 1.1k
Susan Fromholt United States 19 424 0.7× 691 1.4× 385 1.1× 161 0.9× 156 0.9× 31 1.2k
R. Marconi Italy 14 645 1.1× 652 1.3× 660 2.0× 163 0.9× 458 2.7× 16 1.5k
Jonathan C. Grima United States 10 406 0.7× 517 1.0× 186 0.6× 80 0.4× 108 0.6× 10 903
Hyung‐Jun Kim South Korea 17 575 0.9× 643 1.3× 197 0.6× 135 0.8× 130 0.8× 40 1.2k

Countries citing papers authored by Jayanth Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Jayanth Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanth Chandran

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

All Works

18 of 18 papers shown
1.
Chowdhury, Ekram Ahmed, Manuj Ahuja, Shufang Liu, et al.. (2023). Pharmacokinetics of AAV9 Mediated Trastuzumab Expression in Rat Brain Following Systemic and Local Administration. Journal of Pharmaceutical Sciences. 113(1). 131–140. 4 indexed citations
2.
Chandran, Jayanth, Ekram Ahmed Chowdhury, Michael S. Perkinton, et al.. (2022). Assessment of AAV9 distribution and transduction in rats after administration through Intrastriatal, Intracisterna magna and Lumbar Intrathecal routes. Gene Therapy. 30(1-2). 132–141. 9 indexed citations
3.
4.
Chandran, Jayanth, Paul Sharp, Evangelia Karyka, et al.. (2017). Site Specific Modification of Adeno-Associated Virus Enables Both Fluorescent Imaging of Viral Particles and Characterization of the Capsid Interactome. Scientific Reports. 7(1). 14766–14766. 15 indexed citations
5.
Chandran, Jayanth, et al.. (2017). Gene Therapy in the Nervous System: Failures and Successes. Advances in experimental medicine and biology. 1007. 241–257. 3 indexed citations
6.
Herranz-Martín, Saúl, Jayanth Chandran, Katherine E. Lewis, et al.. (2017). Viral delivery of C9ORF72 hexanucleotide repeat expansions in mice lead to repeat length dependent neuropathology and behavioral deficits.. Disease Models & Mechanisms. 10(7). 859–868. 28 indexed citations
7.
Chandran, Jayanth, Ilias Kazanis, Steven J. Clapcote, et al.. (2014). Disc1 Variation Leads to Specific Alterations in Adult Neurogenesis. PLoS ONE. 9(10). e108088–e108088. 17 indexed citations
8.
Lai, Chen, Chengsong Xie, Hoon Shim, et al.. (2009). Regulation of endosomal motility and degradation by amyotrophic lateral sclerosis 2/alsin. Molecular Brain. 2(1). 23–23. 48 indexed citations
9.
Wang, Lizhen, Chengsong Xie, Elisa Greggio, et al.. (2008). The Chaperone Activity of Heat Shock Protein 90 Is Critical for Maintaining the Stability of Leucine-Rich Repeat Kinase 2. Journal of Neuroscience. 28(13). 3384–3391. 156 indexed citations
10.
Cai, Huaibin, Hoon Shim, Chen Lai, et al.. (2008). ALS2/Alsin Knockout Mice and Motor Neuron Diseases. Neurodegenerative Diseases. 5(6). 359–366. 30 indexed citations
11.
Wang, Yue, Jayanth Chandran, Huaibin Cai, & Mark P. Mattson. (2008). DJ-1 is Essential for Long-Term Depression at Hippocampal CA1 Synapses. NeuroMolecular Medicine. 10(1). 40–45. 28 indexed citations
12.
Brug, Marcel P. van der, Jeff Blackinton, Jayanth Chandran, et al.. (2008). RNA binding activity of the recessive parkinsonism protein DJ-1 supports involvement in multiple cellular pathways. Proceedings of the National Academy of Sciences. 105(29). 10244–10249. 173 indexed citations
13.
Lai, Chen, et al.. (2007). The G59S Mutation in p150gluedCauses Dysfunction of Dynactin in Mice. Journal of Neuroscience. 27(51). 13982–13990. 88 indexed citations
14.
Chandran, Jayanth, Jinhui Ding, & Huaibin Cai. (2007). Alsin and the Molecular Pathways of Amyotrophic Lateral Sclerosis. Molecular Neurobiology. 36(3). 224–231. 39 indexed citations
15.
Chandran, Jayanth, Xian Lin, Agustin Zapata, et al.. (2007). Progressive behavioral deficits in DJ-1-deficient mice are associated with normal nigrostriatal function. Neurobiology of Disease. 29(3). 505–514. 84 indexed citations
16.
Chandran, Jayanth, et al.. (2007). Hypoglycemic and other related effects of Boswellia glabra in alloxan-induced diabetic rats.. PubMed. 51(1). 29–39. 20 indexed citations
17.
Lai, Chen, Chengsong Xie, Hsueh‐Cheng Chiang, et al.. (2006). Amyotrophic Lateral Sclerosis 2-Deficiency Leads to Neuronal Degeneration in Amyotrophic Lateral Sclerosis through Altered AMPA Receptor Trafficking. Journal of Neuroscience. 26(45). 11798–11806. 71 indexed citations
18.
Miller, David W., Rili Ahmad, Stephen Hague, et al.. (2003). L166P Mutant DJ-1, Causative for Recessive Parkinson's Disease, Is Degraded through the Ubiquitin-Proteasome System. Journal of Biological Chemistry. 278(38). 36588–36595. 195 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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