Pritam Das

10.2k total citations · 2 hit papers
80 papers, 7.5k citations indexed

About

Pritam Das is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Pritam Das has authored 80 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 28 papers in Molecular Biology and 20 papers in Neurology. Recurrent topics in Pritam Das's work include Alzheimer's disease research and treatments (42 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). Pritam Das is often cited by papers focused on Alzheimer's disease research and treatments (42 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). Pritam Das collaborates with scholars based in United States, India and China. Pritam Das's co-authors include Todd E. Golde, Jason L. Eriksen, Dennis W. Dickson, Edward H. Koo, Sascha Weggen, Sarah A. Sagi, Paramita Chakrabarty, Carolina Ceballos‐Diaz, Steven G. Younkin and Rong Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Pritam Das

75 papers receiving 7.4k citations

Hit Papers

A subset of NSAIDs lower amyloidogenic Aβ42 independently... 2001 2026 2009 2017 2001 2003 250 500 750 1000

Peers

Pritam Das
Ronald B. DeMattos United States
Paul M. Mathews United States
Carmela R. Abraham United States
Mary Jo LaDu United States
Robert Veerhuis Netherlands
Steven Estus United States
Ronald B. DeMattos United States
Pritam Das
Citations per year, relative to Pritam Das Pritam Das (= 1×) peers Ronald B. DeMattos

Countries citing papers authored by Pritam Das

Since Specialization
Citations

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

Fields of papers citing papers by Pritam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritam Das

This figure shows the co-authorship network connecting the top 25 collaborators of Pritam Das. A scholar is included among the top collaborators of Pritam Das 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 Pritam Das. Pritam Das 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.
Das, Pritam, et al.. (2024). Lipid-Conjugated Reduced Haloperidol in Association with Glucose-Based Nanospheres: A Strategy for Glioma Treatment. Molecular Pharmaceutics. 21(10). 5053–5070. 2 indexed citations
2.
Das, Pritam, et al.. (2024). Natural History and Endoscopic Management of Pancreaticopleural Fistula: A Tertiary Care Center Experience. SHILAP Revista de lepidopterología. 15(1). 35–41. 1 indexed citations
3.
Das, Pritam, John Jesudasan, Rudheer Bapat, & Pratap Raychaudhuri. (2023). Spin-polarisation measurement using NbN-insulator-ferromagnet tunnel junction with oxidized barrier. Physica C Superconductivity. 611. 1354300–1354300.
4.
Kulkarni, Tanmay, Ramcharan Singh Angom, Pritam Das, Santanu Bhattacharya, & Debabrata Mukhopadhyay. (2019). Nanomechanical insights: Amyloid beta oligomer-induced senescent brain endothelial cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(12). 183061–183061. 20 indexed citations
5.
Chiang, Angie C.A., Stephanie Fowler, Susan G. Hilsenbeck, et al.. (2018). Combination anti-Aβ treatment maximizes cognitive recovery and rebalances mTOR signaling in APP mice. The Journal of Experimental Medicine. 215(5). 1349–1364. 15 indexed citations
6.
Das, Pritam, et al.. (2018). Morvan’s syndrome—is a pathogen behind the curtain?. Neurological Sciences. 39(11). 1965–1969. 11 indexed citations
7.
Das, Pritam, Christophe Verbeeck, Lisa M. Minter, et al.. (2012). Transient pharmacologic lowering of Aβ production prior to deposition results in sustained reduction of amyloid plaque pathology. Molecular Neurodegeneration. 7(1). 39–39. 25 indexed citations
8.
Wang, Allan, Pritam Das, Robert C. Switzer, Todd E. Golde, & Joanna L. Jankowsky. (2011). Robust Amyloid Clearance in a Mouse Model of Alzheimer's Disease Provides Novel Insights into the Mechanism of Amyloid-β Immunotherapy. Journal of Neuroscience. 31(11). 4124–4136. 94 indexed citations
9.
Chakrabarty, Paramita, Carolina Ceballos‐Diaz, Wen-Lang Lin, et al.. (2011). Interferon-γ induces progressive nigrostriatal degeneration and basal ganglia calcification. Nature Neuroscience. 14(6). 694–696. 62 indexed citations
10.
Chakrabarty, Paramita, et al.. (2011). Hippocampal expression of murine TNFα results in attenuation of amyloid deposition in vivo. Molecular Neurodegeneration. 6(1). 16–16. 104 indexed citations
11.
Chakrabarty, Paramita, Carolina Ceballos‐Diaz, Amanda Beccard, et al.. (2010). IFN-γ Promotes Complement Expression and Attenuates Amyloid Plaque Deposition in Amyloid β Precursor Protein Transgenic Mice. The Journal of Immunology. 184(9). 5333–5343. 156 indexed citations
12.
Meckler, Xavier, Pritam Das, Haipeng Cheng, et al.. (2010). Reduced Alzheimer's Disease β-Amyloid Deposition in Transgenic Mice ExpressingS-Palmitoylation-Deficient APH1aL and Nicastrin. Journal of Neuroscience. 30(48). 16160–16169. 38 indexed citations
13.
Golde, Todd E., Pritam Das, & Yona Levites. (2009). Quantitative and Mechanistic Studies of Aβ Immunotherapy. CNS & Neurological Disorders - Drug Targets. 8(1). 31–49. 41 indexed citations
14.
Samon, Jeremy B., Ameya S. Champhekar, Lisa M. Minter, et al.. (2008). Notch1 and TGFβ1 cooperatively regulate Foxp3 expression and the maintenance of peripheral regulatory T cells. Blood. 112(5). 1813–1821. 159 indexed citations
15.
Fauq, Abdul H., Katherine Simpson, Ghulam M. Maharvi, Todd E. Golde, & Pritam Das. (2007). A multigram chemical synthesis of the γ-secretase inhibitor LY411575 and its diastereoisomers. Bioorganic & Medicinal Chemistry Letters. 17(22). 6392–6395. 60 indexed citations
16.
17.
Kukar, Thomas, M. Paul Murphy, Jason L. Eriksen, et al.. (2005). Diverse compounds mimic Alzheimer disease–causing mutations by augmenting Aβ42 production. Nature Medicine. 11(5). 545–550. 228 indexed citations
18.
Eriksen, Jason L., Sarah A. Sagi, Sascha Weggen, et al.. (2003). NSAIDs and enantiomers of flurbiprofen target γ-secretase and lower Aβ42 in vivo. Journal of Clinical Investigation. 112(3). 440–449. 502 indexed citations breakdown →
19.
Das, Pritam, Kristen M. Drescher, Annemieke Geluk, et al.. (2000). Complementation between specific HLA-DR and HLA-DQ genes in transgenic mice determines susceptibility to experimental autoimmune encephalomyelitis. Human Immunology. 61(3). 279–289. 42 indexed citations
20.
Das, Pritam, David S. Bradley, Annemieke Geluk, et al.. (1999). An HLA-DRB1∗0402 derived peptide (HV3 65-79) prevents collagen-induced arthritis in HLA-DQ8 transgenic mice. Human Immunology. 60(7). 575–582. 27 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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