Thyagarajan Subramanian

2.4k total citations
57 papers, 1.5k citations indexed

About

Thyagarajan Subramanian is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Thyagarajan Subramanian has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Neurology, 28 papers in Cellular and Molecular Neuroscience and 11 papers in Cognitive Neuroscience. Recurrent topics in Thyagarajan Subramanian's work include Neurological disorders and treatments (29 papers), Parkinson's Disease Mechanisms and Treatments (20 papers) and Neuroscience and Neuropharmacology Research (13 papers). Thyagarajan Subramanian is often cited by papers focused on Neurological disorders and treatments (29 papers), Parkinson's Disease Mechanisms and Treatments (20 papers) and Neuroscience and Neuropharmacology Research (13 papers). Thyagarajan Subramanian collaborates with scholars based in United States, Italy and Canada. Thyagarajan Subramanian's co-authors include Ray L. Watts, Christopher A. Lieu, Mahlon R. DeLong, Thomas Wichmann, Philip A. Starr, Kala Venkiteswaran, Roy A.E. Bakay, Hagai Bergman, Michael L. Cornfeldt and Milind Deogaonkar and has published in prestigious journals such as Brain, Journal of Medicinal Chemistry and Journal of neurosurgery.

In The Last Decade

Thyagarajan Subramanian

54 papers receiving 1.4k citations

Peers

Thyagarajan Subramanian
Khashayar Dashtipour United States
J. M. Henderson Australia
Flavia Niccolini United Kingdom
Carrie G. Markgraf United States
K Krampfl Germany
Khashayar Dashtipour United States
Thyagarajan Subramanian
Citations per year, relative to Thyagarajan Subramanian Thyagarajan Subramanian (= 1×) peers Khashayar Dashtipour

Countries citing papers authored by Thyagarajan Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Thyagarajan Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thyagarajan Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Thyagarajan Subramanian. A scholar is included among the top collaborators of Thyagarajan Subramanian 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 Thyagarajan Subramanian. Thyagarajan Subramanian 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.
Subramanian, Thyagarajan, et al.. (2025). DeepLabCut to Automate Behavioral Analysis of Parkinsonism. PubMed. 1(1). 54–59.
2.
Hamedani, Ali G., Peggy Auinger, Allison W. Willis, et al.. (2023). Adjusting for Underrepresentation Reveals Widespread Underestimation of Parkinson's Disease Symptom Burden. Movement Disorders. 38(9). 1679–1687. 3 indexed citations
3.
Subramanian, Thyagarajan, et al.. (2021). Uptake of telehealth in Parkinson's disease clinical care and research during the COVID-19 pandemic. Parkinsonism & Related Disorders. 86. 97–100. 19 indexed citations
4.
Manfredsson, Fredric P., Nicole K. Polinski, Thyagarajan Subramanian, et al.. (2020). The Future of GDNF in Parkinson's Disease. Frontiers in Aging Neuroscience. 12. 593572–593572. 33 indexed citations
5.
Wang, Jianli, Qing X. Yang, Xiaoyu Sun, et al.. (2015). MRI evaluation of asymmetry of nigrostriatal damage in the early stage of early-onset Parkinson's disease. Parkinsonism & Related Disorders. 21(6). 590–596. 55 indexed citations
6.
Oh, Sukhoon, Jianli Wang, Christopher A. Lieu, et al.. (2012). Quadrature RF coil for in Vivo brain MRI of a macaque monkey in a stereotaxic head frame. Concepts in Magnetic Resonance Part B. 41B(1). 22–27. 3 indexed citations
8.
Piallat, Brigitte, Christopher A. Lieu, Kala Venkiteswaran, et al.. (2011). The effect of striatal dopaminergic grafts on the neuronal activity in the substantia nigra pars reticulata and subthalamic nucleus in hemiparkinsonian rats. Brain. 134(11). 3276–3289. 19 indexed citations
9.
Fang, Jidong, et al.. (2009). Manual rat sleep classification in principal component space. Neuroscience Letters. 469(1). 97–101. 10 indexed citations
10.
Zhao, Zhixiang, Ajit A. Krishnaney, Jun Yang, et al.. (2006). Anatomically discrete functional effects of adenoviral clostridial light chain gene-based synaptic inhibition in the midbrain. Gene Therapy. 13(12). 942–952. 7 indexed citations
11.
Deogaonkar, Milind & Thyagarajan Subramanian. (2005). Pathophysiological basis of drug-induced dyskinesias in Parkinson's disease. Brain Research Reviews. 50(1). 156–168. 19 indexed citations
12.
Stover, Natividad, Roy A.E. Bakay, Thyagarajan Subramanian, et al.. (2005). Intrastriatal Implantation of Human Retinal Pigment Epithelial Cells Attached to Microcarriers in Advanced Parkinson Disease. Archives of Neurology. 62(12). 1833–1833. 95 indexed citations
13.
Tousi, Babak, Stephan Schuele, & Thyagarajan Subramanian. (2005). A 46-year-old woman with rigidity and frequent falls.. Cleveland Clinic Journal of Medicine. 72(1). 57–63. 2 indexed citations
14.
Deogaonkar, Milind, Marcel Heers, Supriya D. Mahajan, Marijn E. Brummer, & Thyagarajan Subramanian. (2005). Method of construction of a MRI-based tabular database of 3D stereotaxic co-ordinates for individual structures in the basal ganglia of Macaca mulatta. Journal of Neuroscience Methods. 149(2). 154–163. 8 indexed citations
15.
Subramanian, Thyagarajan, Milind Deogaonkar, Marijn E. Brummer, & Roy A.E. Bakay. (2005). MRI guidance improves accuracy of stereotaxic targeting for cell transplantation in parkinsonian monkeys. Experimental Neurology. 193(1). 172–180. 19 indexed citations
16.
Subramanian, Thyagarajan. (2001). Cell Transplantation for the Treatment of Parkinson's Disease. Seminars in Neurology. 21(1). 103–116. 33 indexed citations
17.
Okun, Michael S., Natividad Stover, Thyagarajan Subramanian, et al.. (2001). Complications of Gamma Knife Surgery for Parkinson Disease. Archives of Neurology. 58(12). 1995–1995. 78 indexed citations
18.
Wichmann, Thomas, Hagai Bergman, Philip A. Starr, et al.. (1999). Comparison of MPTP-induced changes in spontaneous neuronal discharge in the internal pallidal segment and in the substantia nigra pars reticulata in primates. Experimental Brain Research. 125(4). 397–409. 228 indexed citations
19.
Watts, Ray L., Thyagarajan Subramanian, Alan Freeman, et al.. (1997). Effect of Stereotaxic Intrastriatal Cografts of Autologous Adrenal Medulla and Peripheral Nerve in Parkinson's Disease: Two-Year Follow-up Study. Experimental Neurology. 147(2). 510–517. 26 indexed citations
20.
Subramanian, Thyagarajan. (1995). Rejection of mesencephalic retinal xenografts in the rat induced by systemic administration of recombinant interferon-γ. Experimental Neurology. 131(1). 157–162. 15 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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