Shankar J. Chinta

5.0k total citations · 1 hit paper
56 papers, 3.6k citations indexed

About

Shankar J. Chinta is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shankar J. Chinta has authored 56 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 18 papers in Molecular Biology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shankar J. Chinta's work include Parkinson's Disease Mechanisms and Treatments (20 papers), Autophagy in Disease and Therapy (9 papers) and Nuclear Receptors and Signaling (9 papers). Shankar J. Chinta is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (20 papers), Autophagy in Disease and Therapy (9 papers) and Nuclear Receptors and Signaling (9 papers). Shankar J. Chinta collaborates with scholars based in United States, India and Australia. Shankar J. Chinta's co-authors include Julie K. Andersen, Anand Rane, Subramanian Rajagopalan, Jyothi K. Mallajosyula, Marco Demaria, Judith Campisi, Deepinder Kaur, Georgia Woods, David G. Nicholls and Christopher A. Lieu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Shankar J. Chinta

55 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cellular Senescence Is Induced by the Environmental Neurotoxin Paraquat and Contributes to Neuropathology Linked to Parkinson’s Disease

2018 378 citations Shankar J. Chinta, Georgia Woods et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shankar J. Chinta United States	31	1.4k	1.2k	916	888	608	56	3.6k
Onyou Hwang South Korea	34	1.6k 1.2×	1.0k 0.9×	756 0.8×	1.1k 1.3×	667 1.1×	94	4.3k
Plamena R. Angelova United Kingdom	32	2.5k 1.8×	946 0.8×	1.1k 1.2×	817 0.9×	617 1.0×	78	4.8k
Irina G. Stavrovskaya United States	26	1.7k 1.2×	832 0.7×	780 0.9×	1.1k 1.2×	621 1.0×	35	3.4k
Benjamin Drukarch Netherlands	43	1.9k 1.4×	1.4k 1.2×	809 0.9×	1.6k 1.8×	1.1k 1.8×	143	5.4k
Jan Lewerenz Germany	29	1.9k 1.4×	974 0.8×	580 0.6×	950 1.1×	520 0.9×	79	4.5k
Avik Roy United States	32	1.2k 0.9×	843 0.7×	806 0.9×	845 1.0×	943 1.6×	65	3.4k
Yu‐He Yuan China	34	1.5k 1.1×	902 0.8×	499 0.5×	707 0.8×	706 1.2×	97	3.4k
Senthilkumar S. Karuppagounder United States	32	1.8k 1.3×	1.8k 1.5×	1.0k 1.1×	1.1k 1.2×	643 1.1×	58	4.5k
Marcelo R. Vargas United States	32	2.2k 1.6×	1.4k 1.2×	880 1.0×	725 0.8×	981 1.6×	48	4.3k
Gundars Goldsteins Finland	34	1.5k 1.1×	914 0.8×	1.3k 1.4×	1.1k 1.3×	1.8k 2.9×	50	4.6k

Countries citing papers authored by Shankar J. Chinta

Since Specialization

Citations

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

Fields of papers citing papers by Shankar J. Chinta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shankar J. Chinta. 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 Shankar J. Chinta. The network helps show where Shankar J. Chinta may publish in the future.

Co-authorship network of co-authors of Shankar J. Chinta

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

All Works

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20 of 20 papers shown

Chamoli, Manish, Anand Rane, Anna Foulger, et al.. (2023). A drug-like molecule engages nuclear hormone receptor DAF-12/FXR to regulate mitophagy and extend lifespan. Nature Aging. 3(12). 1529–1543. 20 indexed citations

Khanna, Amit, Durai Sellegounder, Jitendra Kumar, et al.. (2021). Trimethylamine modulates dauer formation, neurodegeneration, and lifespan through tyra‐3/daf‐11 signaling in Caenorhabditis elegans. Aging Cell. 20(5). e13351–e13351. 3 indexed citations

Chinta, Shankar J., et al.. (2021). A guide to senolytic intervention in neurodegenerative disease. Mechanisms of Ageing and Development. 200. 111585–111585. 24 indexed citations

Siddiqui, Almas, Dipa Bhaumik, Shankar J. Chinta, et al.. (2015). Mitochondrial Quality Control via the PGC1α-TFEB Signaling Pathway Is Compromised by Parkin Q311X Mutation But Independently Restored by Rapamycin. Journal of Neuroscience. 35(37). 12833–12844. 103 indexed citations

Aleyasin, Hossein, Saravanan S. Karuppagounder, Amit Kumar, et al.. (2014). Antihelminthic Benzimidazoles Are Novel HIF Activators That Prevent Oxidative Neuronal Death via Binding to Tubulin. Antioxidants and Redox Signaling. 22(2). 121–134. 17 indexed citations

Chinta, Shankar J., Georgia Woods, Anand Rane, et al.. (2014). Cellular senescence and the aging brain. Experimental Gerontology. 68. 3–7. 218 indexed citations

Baris, Olivier R., Simon Heß, Natasha Moser, et al.. (2013). Catecholamine metabolism drives generation of mitochondrial DNA deletions in dopaminergic neurons. Brain. 137(2). 354–365. 42 indexed citations

Lieu, Christopher A., Shankar J. Chinta, Anand Rane, & Julie K. Andersen. (2013). Age-Related Behavioral Phenotype of an Astrocytic Monoamine Oxidase-B Transgenic Mouse Model of Parkinson’s Disease. PLoS ONE. 8(1). e54200–e54200. 53 indexed citations

Chinta, Shankar J., Jyothi K. Mallajosyula, Anand Rane, & Julie K. Andersen. (2010). Mitochondrial alpha-synuclein accumulation impairs complex I function in dopaminergic neurons and results in increased mitophagy in vivo. Neuroscience Letters. 486(3). 235–239. 343 indexed citations

10.

Chinta, Shankar J., Anand Rane, Nagendra Yadava, et al.. (2009). Reactive oxygen species regulation by AIF- and complex I-depleted brain mitochondria. Free Radical Biology and Medicine. 46(7). 939–947. 50 indexed citations

11.

Mallajosyula, Jyothi K., Shankar J. Chinta, Subramanian Rajagopalan, David G. Nicholls, & Julie K. Andersen. (2009). Metabolic Control Analysis in a Cellular Model of Elevated MAO-B: Relevance to Parkinson’s Disease. Neurotoxicity Research. 16(3). 186–193. 35 indexed citations

12.

Chinta, Shankar J., Anand Rane, Karen S. Poksay, et al.. (2008). Coupling Endoplasmic Reticulum Stress to the Cell Death Program in Dopaminergic Cells: Effect of Paraquat. NeuroMolecular Medicine. 10(4). 333–342. 45 indexed citations

13.

Vali, Shireen, Shankar J. Chinta, Jie Peng, et al.. (2008). Insights into the effects of α-synuclein expression and proteasome inhibition on glutathione metabolism through a dynamic in silico model of Parkinson's disease: validation by cell culture data. Free Radical Biology and Medicine. 45(9). 1290–1301. 14 indexed citations

14.

Chinta, Shankar J., Michael Hsu, Subramanian Rajagopalan, et al.. (2007). Inducible Alterations of Glutathione Levels in Adult Dopaminergic Midbrain Neurons Result in Nigrostriatal Degeneration. Journal of Neuroscience. 27(51). 13997–14006. 122 indexed citations

15.

Chinta, Shankar J., Jyothi Kumar, Hongqiao Zhang, Henry Jay Forman, & Julie K. Andersen. (2006). Up-regulation of γ-glutamyl transpeptidase activity following glutathione depletion has a compensatory rather than an inhibitory effect on mitochondrial complex I activity: implications for Parkinson's disease. Free Radical Biology and Medicine. 40(9). 1557–1563. 37 indexed citations

16.

Kaur, Deepinder, Subramanian Rajagopalan, Shankar J. Chinta, et al.. (2006). Chronic ferritin expression within murine dopaminergic midbrain neurons results in a progressive age-related neurodegeneration. Brain Research. 1140. 188–194. 33 indexed citations

17.

Chinta, Shankar J., Subramanian Rajagopalan, D. Allan Butterfield, & Julie K. Andersen. (2006). In vitro and in vivo neuroprotection by γ-glutamylcysteine ethyl ester against MPTP: Relevance to the role of glutathione in Parkinson's disease. Neuroscience Letters. 402(1-2). 137–141. 36 indexed citations

18.

Chinta, Shankar J., et al.. (2005). Constitutive expression and localization of cytochrome P‐450 1A1 in rat and human brain: presence of a splice variant form in human brain¹. Journal of Neurochemistry. 93(3). 724–736. 41 indexed citations

19.

Pai, Harish V., et al.. (2002). Differential metabolism of alprazolam by liver and brain cytochrome (P4503A) to pharmacologically active metabolite. The Pharmacogenomics Journal. 2(4). 243–258. 34 indexed citations

20.

Upadhya, Sudarshan C., Shankar J. Chinta, Harish V. Pai, Michael R. Boyd, & Vijayalakshmi Ravindranath. (2002). Toxicological Consequences of Differential Regulation of Cytochrome P450 Isoforms in Rat Brain Regions by Phenobarbital. Archives of Biochemistry and Biophysics. 399(1). 56–65. 24 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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