Nupur Dasgupta

745 total citations
20 papers, 501 citations indexed

About

Nupur Dasgupta is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Nupur Dasgupta has authored 20 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Hematology. Recurrent topics in Nupur Dasgupta's work include Cellular transport and secretion (4 papers), Lysosomal Storage Disorders Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Nupur Dasgupta is often cited by papers focused on Cellular transport and secretion (4 papers), Lysosomal Storage Disorders Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Nupur Dasgupta collaborates with scholars based in United States, Russia and France. Nupur Dasgupta's co-authors include Gregory A. Grabowski, C. Michael Crowder, Ying Sun, Georgianne M. Ciraolo, Yanyan Peng, Benjamin Liou, Kenneth D.R. Setchell, Wujuan Zhang, Yongping Xu and Barbara A. Scott and has published in prestigious journals such as Blood, PLoS ONE and Nature Cell Biology.

In The Last Decade

Nupur Dasgupta

18 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nupur Dasgupta United States 15 288 131 108 96 72 20 501
Neelanjan Vishnu Sweden 15 487 1.7× 158 1.2× 101 0.9× 89 0.9× 71 1.0× 17 747
Huasong Tian United States 9 353 1.2× 132 1.0× 87 0.8× 137 1.4× 93 1.3× 13 609
Mylène Ferrand France 7 312 1.1× 116 0.9× 132 1.2× 40 0.4× 54 0.8× 7 479
Hélène Lallet-Daher France 7 307 1.1× 99 0.8× 58 0.5× 39 0.4× 48 0.7× 7 451
Connor S.R. Jankowski United States 12 528 1.8× 113 0.9× 92 0.9× 50 0.5× 62 0.9× 16 722
Marin L. Gantner United States 11 377 1.3× 111 0.8× 112 1.0× 43 0.4× 69 1.0× 18 671
Katja Höpker Germany 11 425 1.5× 90 0.7× 35 0.3× 131 1.4× 52 0.7× 17 644
Khoosheh Khayati United States 8 234 0.8× 65 0.5× 100 0.9× 54 0.6× 182 2.5× 11 417
Shlomit Boguslavsky Canada 9 417 1.4× 114 0.9× 44 0.4× 173 1.8× 26 0.4× 9 559
Saara Forsström Finland 4 536 1.9× 191 1.5× 38 0.4× 49 0.5× 94 1.3× 5 720

Countries citing papers authored by Nupur Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Nupur Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nupur Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Nupur Dasgupta. A scholar is included among the top collaborators of Nupur Dasgupta 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 Nupur Dasgupta. Nupur Dasgupta 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.
Zahedi, Kamyar, Sharon Barone, Negah Rahmati, et al.. (2020). Ablation of polyamine catabolic enzymes provokes Purkinje cell damage, neuroinflammation, and severe ataxia. Journal of Neuroinflammation. 17(1). 301–301. 12 indexed citations
2.
Woodle, E. Steve, Simon Tremblay, Paul Brailey, et al.. (2019). Proteasomal adaptations underlying carfilzomib-resistance in human bone marrow plasma cells. American Journal of Transplantation. 20(2). 399–410. 22 indexed citations
3.
Bolte, Craig, Nupur Dasgupta, Akanksha Sharma, et al.. (2019). The forkhead box F1 transcription factor inhibits collagen deposition and accumulation of myofibroblasts during liver fibrosis. Biology Open. 8(2). 14 indexed citations
4.
Chhipa, Rishi Raj, Qiang Fan, Jane L. Anderson, et al.. (2018). AMP kinase promotes glioblastoma bioenergetics and tumour growth. Nature Cell Biology. 20(7). 823–835. 104 indexed citations
5.
Pauciulo, Michael W., Nupur Dasgupta, Patricia Pastura, et al.. (2018). Hypoxia-induced Pulmonary Hypertension in Different Mouse Strains: Relation to Transcriptome. American Journal of Respiratory Cell and Molecular Biology. 60(1). 106–116. 16 indexed citations
6.
Moore, Vicky, Nupur Dasgupta, Sabzali Javadov, et al.. (2018). The Effects of PPAR Stimulation on Cardiac Metabolic Pathways in Barth Syndrome Mice. Frontiers in Pharmacology. 9. 318–318. 32 indexed citations
7.
8.
Liou, Benjamin, Yanyan Peng, Ronghua Li, et al.. (2016). Modulating ryanodine receptors with dantrolene attenuates neuronopathic phenotype in Gaucher disease mice. Human Molecular Genetics. 25(23). ddw322–ddw322. 32 indexed citations
9.
Dasgupta, Nupur, Yongping Xu, Ronghua Li, et al.. (2015). Neuronopathic Gaucher disease: dysregulated mRNAs and miRNAs in brain pathogenesis and effects of pharmacologic chaperone treatment in a mouse model. Human Molecular Genetics. 24(24). ddv404–ddv404. 42 indexed citations
10.
Dasgupta, Nupur, et al.. (2015). Paired-like Homeodomain Transcription factor 2 expression by breast cancer bone marrow disseminated tumor cells is associated with early recurrent disease development. Breast Cancer Research and Treatment. 153(3). 507–517. 10 indexed citations
11.
Dasgupta, Nupur, et al.. (2015). miRNAs in mtDNA-less cell mitochondria. Cell Death Discovery. 1(1). 15004–15004. 38 indexed citations
12.
Roychoudhury, Jayeeta, Jason Clark, Mark Wunderlich, et al.. (2015). MEIS1 regulates an HLF–oxidative stress axis in MLL-fusion gene leukemia. Blood. 125(16). 2544–2552. 23 indexed citations
13.
Oh, Sunghee, Seongho Song, Nupur Dasgupta, & Gregory A. Grabowski. (2014). The analytical landscape of static and temporal dynamics in transcriptome data. Frontiers in Genetics. 5. 35–35. 24 indexed citations
14.
Dasgupta, Nupur, Yongping Xu, Sunghee Oh, et al.. (2013). Gaucher Disease: Transcriptome Analyses Using Microarray or mRNA Sequencing in a Gba1 Mutant Mouse Model Treated with Velaglucerase alfa or Imiglucerase. PLoS ONE. 8(10). e74912–e74912. 15 indexed citations
15.
Sun, Ying, Wujuan Zhang, Yongping Xu, et al.. (2013). Substrate Compositional Variation with Tissue/Region and Gba1 Mutations in Mouse Models–Implications for Gaucher Disease. PLoS ONE. 8(3). e57560–e57560. 39 indexed citations
16.
Yan, Cong, et al.. (2012). Gene Profile of Myeloid-Derived Suppressive Cells from the Bone Marrow of Lysosomal Acid Lipase Knock-Out Mice. PLoS ONE. 7(2). e30701–e30701. 18 indexed citations
17.
Dasgupta, Nupur, Mark A. Watson, Timothy P. Fleming, et al.. (2009). TWIST1 and PITX2 expression in bone marrow of women with clinical stage II/III breast cancer identifies patients at risk for the development of early metastatic disease.. Cancer Research. 69(2_Supplement). 108–108. 1 indexed citations
18.
Dasgupta, Nupur, et al.. (2007). An Evolutionarily Conserved Presynaptic Protein Is Required for Isoflurane Sensitivity in Caenorhabditis elegans . Anesthesiology. 107(6). 971–982. 23 indexed citations
19.
Dasgupta, Nupur, et al.. (2007). Hypoxic Preconditioning Requires the Apoptosis Protein CED-4 in C. elegans. Current Biology. 17(22). 1954–1959. 35 indexed citations
20.
Dasgupta, Nupur. (1955). Significance of serological reactions in syphilis.. PubMed. 25(8). 316–9. 1 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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