Vellareddy Anantharam

14.7k total citations
143 papers, 8.3k citations indexed

About

Vellareddy Anantharam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Vellareddy Anantharam has authored 143 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 56 papers in Cellular and Molecular Neuroscience and 55 papers in Neurology. Recurrent topics in Vellareddy Anantharam's work include Parkinson's Disease Mechanisms and Treatments (49 papers), Nuclear Receptors and Signaling (23 papers) and Neuroscience and Neuropharmacology Research (22 papers). Vellareddy Anantharam is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (49 papers), Nuclear Receptors and Signaling (23 papers) and Neuroscience and Neuropharmacology Research (22 papers). Vellareddy Anantharam collaborates with scholars based in United States, Australia and China. Vellareddy Anantharam's co-authors include Anumantha G. Kanthasamy, Arthi Kanthasamy, Huajun Jin, Masashi Kitazawa, Dilshan S. Harischandra, Siddharth Kaul, Steven N. Treistman, Anamitra Ghosh, Yongjie Yang and Shivani Ghaisas and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Vellareddy Anantharam

141 papers receiving 8.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vellareddy Anantharam United States 59 3.8k 2.3k 2.2k 1.5k 1.3k 143 8.3k
Arthi Kanthasamy United States 53 3.0k 0.8× 2.1k 0.9× 1.6k 0.7× 1.3k 0.9× 1.1k 0.9× 131 7.0k
Anumantha G. Kanthasamy United States 64 5.3k 1.4× 3.0k 1.3× 2.5k 1.1× 2.2k 1.5× 2.0k 1.6× 225 12.0k
Jeff M. Bronstein United States 51 2.4k 0.6× 2.9k 1.3× 1.8k 0.8× 1.4k 0.9× 840 0.6× 164 8.4k
Masashi Kitazawa United States 46 2.3k 0.6× 917 0.4× 1.8k 0.8× 2.8k 1.9× 3.0k 2.3× 102 8.3k
Sang Won Suh South Korea 45 2.8k 0.8× 693 0.3× 2.1k 0.9× 1.4k 0.9× 1.9k 1.5× 149 9.0k
Manisha Patel United States 54 4.5k 1.2× 873 0.4× 2.6k 1.2× 800 0.5× 2.1k 1.6× 135 9.4k
John H. Weiss United States 52 3.3k 0.9× 1.6k 0.7× 3.5k 1.6× 1.0k 0.7× 1.6k 1.2× 99 8.5k
Oliver Bandmann United Kingdom 41 2.0k 0.5× 2.5k 1.1× 1.5k 0.7× 779 0.5× 923 0.7× 123 6.0k
Huajun Jin United States 40 1.9k 0.5× 1.4k 0.6× 917 0.4× 943 0.6× 763 0.6× 101 4.5k
Maurizio Memo Italy 54 4.6k 1.2× 807 0.4× 3.0k 1.3× 1.0k 0.7× 2.0k 1.5× 306 10.5k

Countries citing papers authored by Vellareddy Anantharam

Since Specialization
Citations

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

Fields of papers citing papers by Vellareddy Anantharam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vellareddy Anantharam

This figure shows the co-authorship network connecting the top 25 collaborators of Vellareddy Anantharam. A scholar is included among the top collaborators of Vellareddy Anantharam 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 Vellareddy Anantharam. Vellareddy Anantharam 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.
Jin, Huajun, et al.. (2024). Manganese and Vanadium Co-Exposure Induces Severe Neurotoxicity in the Olfactory System: Relevance to Metal-Induced Parkinsonism. International Journal of Molecular Sciences. 25(10). 5285–5285. 4 indexed citations
2.
Jin, Huajun, Vellareddy Anantharam, Ramona J. Bieber Urbauer, et al.. (2024). High-Yield α-Synuclein Purification and Ionic Strength Modification Pivotal to Seed Amplification Assay Performance and Reproducibility. International Journal of Molecular Sciences. 25(11). 5988–5988. 2 indexed citations
3.
Hernández, Belén, Chandra S. Tangudu, Auriel A. Willette, et al.. (2022). Clostridioides difficile Infection Dysregulates Brain Dopamine Metabolism. Microbiology Spectrum. 10(2). e0007322–e0007322. 18 indexed citations
4.
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Langley, Monica R., Shivani Ghaisas, Bharathi N. Palanisamy, et al.. (2021). Characterization of nonmotor behavioral impairments and their neurochemical mechanisms in the MitoPark mouse model of progressive neurodegeneration in Parkinson's disease. Experimental Neurology. 341. 113716–113716. 18 indexed citations
6.
Manne, Sireesha, Naveen Kondru, Huajun Jin, et al.. (2020). Blinded RT‐QuIC Analysis of α‐Synuclein Biomarker in Skin Tissue From Parkinson's Disease Patients. Movement Disorders. 35(12). 2230–2239. 104 indexed citations
7.
Sarkar, Souvarish, Dharmin Rokad, Emir Malovic, et al.. (2019). Manganese activates NLRP3 inflammasome signaling and propagates exosomal release of ASC in microglial cells. Science Signaling. 12(563). 123 indexed citations
8.
Harischandra, Dilshan S., Dharmin Rokad, Matthew L. Neal, et al.. (2019). Manganese promotes the aggregation and prion-like cell-to-cell exosomal transmission of α-synuclein. Science Signaling. 12(572). 133 indexed citations
9.
Harischandra, Dilshan S., Shivani Ghaisas, Gary Zenitsky, et al.. (2019). Manganese-Induced Neurotoxicity: New Insights Into the Triad of Protein Misfolding, Mitochondrial Impairment, and Neuroinflammation. Frontiers in Neuroscience. 13. 654–654. 198 indexed citations
10.
Gordon, Richard D., Matthew L. Neal, Jie Luo, et al.. (2016). Prokineticin-2 upregulation during neuronal injury mediates a compensatory protective response against dopaminergic neuronal degeneration. Nature Communications. 7(1). 12932–12932. 72 indexed citations
11.
Charli, Adhithiya, et al.. (2015). Alterations in mitochondrial dynamics induced by tebufenpyrad and pyridaben in a dopaminergic neuronal cell culture model. NeuroToxicology. 53. 302–313. 61 indexed citations
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13.
Kanthasamy, Anumantha G., et al.. (2012). Effect of divalent metals on the neuronal proteasomal system, prion protein ubiquitination and aggregation. Toxicology Letters. 214(3). 288–295. 23 indexed citations
14.
Song, Chunjuan, et al.. (2011). Paraquat induces epigenetic changes by promoting histone acetylation in cell culture models of dopaminergic degeneration. NeuroToxicology. 32(5). 586–595. 93 indexed citations
15.
Gordon, Richard D., Colleen Hogan, Matthew L. Neal, et al.. (2010). A simple magnetic separation method for high-yield isolation of pure primary microglia. Journal of Neuroscience Methods. 194(2). 287–296. 74 indexed citations
16.
Kanthasamy, Arthi, et al.. (2009). Vanadium induces dopaminergic neurotoxicity via protein kinase Cdelta dependent oxidative signaling mechanisms: Relevance to etiopathogenesis of Parkinson's disease. Toxicology and Applied Pharmacology. 240(2). 273–285. 95 indexed citations
17.
Sun, Faneng, et al.. (2009). Mitochondrial accumulation of polyubiquitinated proteins and differential regulation of apoptosis by polyubiquitination sites Lys‐48 and ‐63. Journal of Cellular and Molecular Medicine. 13(8b). 1632–1643. 21 indexed citations
18.
Kanthasamy, Arthi, et al.. (2006). Interaction of metals with prion protein: Possible role of divalent cations in the pathogenesis of prion diseases. NeuroToxicology. 27(5). 777–787. 71 indexed citations
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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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