D. J. Vidyadhara

776 total citations
23 papers, 509 citations indexed

About

D. J. Vidyadhara is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, D. J. Vidyadhara has authored 23 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Neurology and 6 papers in Neurology. Recurrent topics in D. J. Vidyadhara's work include Parkinson's Disease Mechanisms and Treatments (13 papers), Nerve injury and regeneration (6 papers) and Autophagy in Disease and Therapy (4 papers). D. J. Vidyadhara is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (13 papers), Nerve injury and regeneration (6 papers) and Autophagy in Disease and Therapy (4 papers). D. J. Vidyadhara collaborates with scholars based in United States, India and United Kingdom. D. J. Vidyadhara's co-authors include Sreeganga S. Chandra, Phalguni Anand Alladi, T.R. Raju, Mariamma Philip, S.K. Shankar, Anita Mahadevan, Ravi Manjithaya, James P. Clement, Aravinda K. Chavalmane and Dalibor Sameš and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Journal of Neurochemistry.

In The Last Decade

D. J. Vidyadhara

22 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Vidyadhara United States 12 203 168 132 126 121 23 509
С. Н. Пчелина Russia 12 244 1.2× 160 1.0× 184 1.4× 277 2.2× 69 0.6× 76 608
Isabel Espadas Spain 11 172 0.8× 345 2.1× 213 1.6× 97 0.8× 82 0.7× 16 610
Sandro Huenchuguala Chile 12 254 1.3× 192 1.1× 184 1.4× 90 0.7× 62 0.5× 17 526
Alessandro Mechelli Italy 8 262 1.3× 142 0.8× 121 0.9× 97 0.8× 78 0.6× 14 467
Danielle Sambo United States 9 129 0.6× 207 1.2× 185 1.4× 48 0.4× 56 0.5× 13 459
Smitha Karunakaran India 10 145 0.7× 253 1.5× 327 2.5× 161 1.3× 92 0.8× 18 687
László Havas Hungary 11 146 0.7× 173 1.0× 137 1.0× 113 0.9× 207 1.7× 20 646
ROBERTA FRIEDMAN United States 7 80 0.4× 219 1.3× 431 3.3× 371 2.9× 81 0.7× 15 711
Alice Biosa Italy 13 438 2.2× 201 1.2× 266 2.0× 170 1.3× 106 0.9× 17 669

Countries citing papers authored by D. J. Vidyadhara

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Vidyadhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Vidyadhara

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Vidyadhara. A scholar is included among the top collaborators of D. J. Vidyadhara 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 D. J. Vidyadhara. D. J. Vidyadhara 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.
Vidyadhara, D. J., David Bäckström, Rajarshi Chakraborty, et al.. (2025). Synaptic vesicle endocytosis deficits underlie cognitive dysfunction in mouse models of GBA-linked Parkinson’s disease and dementia with Lewy bodies. Nature Communications. 16(1). 8484–8484.
2.
Martín-López, Eduardo, et al.. (2023). α-Synuclein Pathology and Reduced Neurogenesis in the Olfactory System Affect Olfaction in a Mouse Model of Parkinson's Disease. Journal of Neuroscience. 43(6). 1051–1071. 20 indexed citations
3.
Vidyadhara, D. J., et al.. (2023). Apoptotic Factors and Mitochondrial Complexes Assist Determination of Strain-Specific Susceptibility of Mice to Parkinsonian Neurotoxin MPTP. Molecular Neurobiology. 60(8). 4778–4794. 2 indexed citations
4.
Vidyadhara, D. J., Jyoti Gupta, TuKiet T. Lam, et al.. (2023). Dopamine transporter and synaptic vesicle sorting defects underlie auxilin-associated Parkinson’s disease. Cell Reports. 42(3). 112231–112231. 24 indexed citations
5.
Cheng, Xi, Yu Tang, D. J. Vidyadhara, et al.. (2023). Impaired pre-synaptic plasticity and visual responses in auxilin-knockout mice. iScience. 26(10). 107842–107842. 1 indexed citations
6.
Cunningham, Michael J., D. J. Vidyadhara, Emma M. Bonniwell, et al.. (2022). Pharmacological Mechanism of the Non-hallucinogenic 5-HT2A Agonist Ariadne and Analogs. ACS Chemical Neuroscience. 14(1). 119–135. 43 indexed citations
7.
Boddupalli, Chandra Sekhar, Shiny Nair, Glenn S. Belinsky, et al.. (2022). Neuroinflammation in neuronopathic Gaucher disease: Role of microglia and NK cells, biomarkers, and response to substrate reduction therapy. eLife. 11. 33 indexed citations
8.
Vidyadhara, D. J., Jyoti Gupta, TuKiet T. Lam, et al.. (2022). Dopamine Transporter and Synaptic Vesicle Sorting Defects Initiate Auxilin-Linked Parkinson's Disease. SSRN Electronic Journal. 3 indexed citations
9.
Chandra, Sreeganga S., et al.. (2022). Subcellular Fractionation for the Isolation of Synaptic Components from the Murine Brain. Journal of Visualized Experiments. 2 indexed citations
10.
Chandra, Sreeganga S., et al.. (2022). Subcellular Fractionation for the Isolation of Synaptic Components from the Murine Brain. Journal of Visualized Experiments. 1 indexed citations
11.
12.
Vidyadhara, D. J., et al.. (2019). Role of the endolysosomal system in Parkinson’s disease. Journal of Neurochemistry. 150(5). 487–506. 95 indexed citations
13.
Vidyadhara, D. J., Mridhula Giridharan, James P. Clement, et al.. (2019). Small molecule modulator of aggrephagy regulates neuroinflammation to curb pathogenesis of neurodegeneration. EBioMedicine. 50. 260–273. 28 indexed citations
14.
Vidyadhara, D. J., Arun Sasidharan, Bindu M. Kutty, T.R. Raju, & Phalguni Anand Alladi. (2018). Admixing MPTP-resistant and MPTP-vulnerable mice enhances striatal field potentials and calbindin-D28K expression to avert motor behaviour deficits. Behavioural Brain Research. 360. 216–227. 9 indexed citations
15.
Sivanesan, Senthilkumar, et al.. (2018). Pluchea lanceolata protects hippocampal neurons from endothelin-1 induced ischemic injury to ameliorate cognitive deficits. Journal of Chemical Neuroanatomy. 94. 75–85. 8 indexed citations
16.
Chavalmane, Aravinda K., Veena Ammanathan, D. J. Vidyadhara, et al.. (2018). Modulation of Autophagy by a Small Molecule Inverse Agonist of ERRα Is Neuroprotective. Frontiers in Molecular Neuroscience. 11. 109–109. 29 indexed citations
17.
Chavalmane, Aravinda K., et al.. (2017). A novel autophagy modulator 6-Bio ameliorates SNCA/α-synuclein toxicity. Autophagy. 13(7). 1221–1234. 53 indexed citations
18.
19.
Vidyadhara, D. J., et al.. (2016). Admixing of MPTP-Resistant and Susceptible Mice Strains Augments Nigrostriatal Neuronal Correlates to Resist MPTP-Induced Neurodegeneration. Molecular Neurobiology. 54(8). 6148–6162. 20 indexed citations
20.
Vidyadhara, D. J., Anita Mahadevan, Mariamma Philip, et al.. (2015). Aging causes morphological alterations in astrocytes and microglia in human substantia nigra pars compacta. Neurobiology of Aging. 36(12). 3321–3333. 102 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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