Tamal Sadhukhan

537 total citations
20 papers, 315 citations indexed

About

Tamal Sadhukhan is a scholar working on Physiology, Neurology and Cell Biology. According to data from OpenAlex, Tamal Sadhukhan has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Neurology and 6 papers in Cell Biology. Recurrent topics in Tamal Sadhukhan's work include Lysosomal Storage Disorders Research (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Cellular transport and secretion (6 papers). Tamal Sadhukhan is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Cellular transport and secretion (6 papers). Tamal Sadhukhan collaborates with scholars based in United States, India and China. Tamal Sadhukhan's co-authors include Anil B. Mukherjee, Maria B. Bagh, Kunal Ray, Jharna Ray, Sharmila Sengupta, Tanmay Chatterjee, Zhongjian Zhang, Sweta Sharma Saha, Rahul Roy Chowdhury and Sudipta Roy and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Tamal Sadhukhan

18 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamal Sadhukhan United States 9 165 107 95 72 69 20 315
Kirsty J. McMillan United Kingdom 6 249 1.5× 83 0.8× 72 0.8× 175 2.4× 107 1.6× 7 387
Sarah Jinn United States 6 157 1.0× 103 1.0× 60 0.6× 83 1.2× 122 1.8× 6 351
Letizia Straniero Italy 12 197 1.2× 120 1.1× 44 0.5× 93 1.3× 117 1.7× 25 371
Matthew J. Keuss United Kingdom 6 303 1.8× 50 0.5× 42 0.4× 108 1.5× 88 1.3× 7 426
Cornelia E. Zorca Canada 10 236 1.4× 78 0.7× 42 0.4× 35 0.5× 40 0.6× 15 356
Naoko Tokushige Japan 9 273 1.7× 52 0.5× 130 1.4× 95 1.3× 18 0.3× 11 391
Christine M. Rostosky Germany 5 153 0.9× 72 0.7× 17 0.2× 81 1.1× 37 0.5× 5 312
Ruth E. Carmichael United Kingdom 12 313 1.9× 55 0.5× 51 0.5× 66 0.9× 15 0.2× 21 401
Martina Marinello France 9 349 2.1× 35 0.3× 48 0.5× 81 1.1× 48 0.7× 11 438
Changyong Tang China 11 187 1.1× 31 0.3× 36 0.4× 37 0.5× 24 0.3× 25 350

Countries citing papers authored by Tamal Sadhukhan

Since Specialization
Citations

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

Fields of papers citing papers by Tamal Sadhukhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamal Sadhukhan

This figure shows the co-authorship network connecting the top 25 collaborators of Tamal Sadhukhan. A scholar is included among the top collaborators of Tamal Sadhukhan 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 Tamal Sadhukhan. Tamal Sadhukhan 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.
Bagh, Maria B., Tamal Sadhukhan, Satya P. Singh, et al.. (2025). Niemann Pick C1 mistargeting disrupts lysosomal cholesterol homeostasis contributing to neurodegeneration in a Batten disease model. Science Advances. 11(19). eadr5703–eadr5703. 1 indexed citations
2.
Sadhukhan, Tamal, et al.. (2025). Role of LncRNA in Trauma Susceptibility and Resilience to Post-Traumatic Stress Disorder (PTSD): A Pilot Study in the African American Population. Neuropsychiatric Disease and Treatment. Volume 21. 1469–1479.
3.
Bagh, Maria B., et al.. (2024). Disruption of lysosomal nutrient sensing scaffold contributes to pathogenesis of a fatal neurodegenerative lysosomal storage disease. Journal of Biological Chemistry. 300(2). 105641–105641. 3 indexed citations
4.
Sadhukhan, Tamal, et al.. (2022). Ppt1‐deficiency dysregulates lysosomal Ca++ homeostasis contributing to pathogenesis in a mouse model of CLN1 disease. Journal of Inherited Metabolic Disease. 45(3). 635–656. 11 indexed citations
5.
Sadhukhan, Tamal, Maria B. Bagh, James Iben, et al.. (2021). Ablation of microRNA-155 and neuroinflammation in a mouse model of CLN1-disease. Biochemical and Biophysical Research Communications. 571. 137–144. 1 indexed citations
6.
Sadhukhan, Tamal, et al.. (2021). In a mouse model of INCL reduced S‐palmitoylation of cytosolic thioesterase APT1 contributes to microglia proliferation and neuroinflammation. Journal of Inherited Metabolic Disease. 44(4). 1051–1069. 24 indexed citations
7.
Banjare, Nagma, et al.. (2020). Diabetes associated delay in wound healing and strategies for its management. 1(2). 16–23. 1 indexed citations
8.
Sarkar, Chinmoy, et al.. (2020). Cln1‐mutations suppress Rab7‐RILP interaction and impair autophagy contributing to neuropathology in a mouse model of infantile neuronal ceroid lipofuscinosis. Journal of Inherited Metabolic Disease. 43(5). 1082–1101. 17 indexed citations
9.
Sadhukhan, Tamal, et al.. (2019). Dopamine β Hydroxylase (DBH) is a potential modifier gene associated with Parkinson's disease in Eastern India. Neuroscience Letters. 706. 75–80. 8 indexed citations
10.
11.
Mukherjee, Anil B., et al.. (2019). Emerging new roles of the lysosome and neuronal ceroid lipofuscinoses. Molecular Neurodegeneration. 14(1). 4–4. 72 indexed citations
12.
Sadhukhan, Tamal, Subhadip Chakraborty, Arindam Biswas, et al.. (2019). Role of Apolipoprotein E, Cathepsin D, and Brain-Derived Neurotrophic Factor in Parkinson’s Disease: A Study from Eastern India. NeuroMolecular Medicine. 21(3). 287–294. 6 indexed citations
13.
Sadhukhan, Tamal, Maria B. Bagh, Eryan Kong, et al.. (2019). H‐Ras Signaling Mediates Microglia Proliferation Contributing to Neuropathology in INCL Mice. The FASEB Journal. 33(S1).
14.
Saha, Sweta Sharma, Paramita Mandal, Tamal Sadhukhan, et al.. (2015). Bridging Links between Long Noncoding RNA HOTAIR and HPV Oncoprotein E7 in Cervical Cancer Pathogenesis. Scientific Reports. 5(1). 11724–11724. 94 indexed citations
15.
Biswas, Arindam, et al.. (2014). Role of Dopamine β Hydroxylase (DBH) in Parkinson's disease patients of Indian population. Molecular Cytogenetics. 7(S1). 1 indexed citations
16.
Sadhukhan, Tamal, Arindam Biswas, Shyamal Kumar Das, Kunal Ray, & Jharna Ray. (2012). DJ-1 Variants in Indian Parkinson’s Disease Patients. SHILAP Revista de lepidopterología. 3 indexed citations
17.
Sadhukhan, Tamal, et al.. (2012). Evaluation of the Role of LRRK2 Gene in Parkinson’s Disease in an East Indian Cohort. Disease Markers. 32(6). 355–362. 9 indexed citations
18.
Sadhukhan, Tamal, Anchal Sharma, Arijit Mukhopadhyay, et al.. (2012). Evaluation of the role of LRRK2 gene in Parkinson's disease in an East Indian cohort.. SHILAP Revista de lepidopterología. 32(6). 355–62. 8 indexed citations
19.
Sadhukhan, Tamal, Arindam Biswas, Shyamal Kumar Das, Kunal Ray, & Jharna Ray. (2012). DJ-1Variants in Indian Parkinson’s Disease Patients. Disease Markers. 33(3). 127–135. 19 indexed citations
20.
Biswas, Arindam, et al.. (2009). Evaluation of PINK1 variants in Indian Parkinson's disease patients. Parkinsonism & Related Disorders. 16(3). 167–171. 20 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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