Ujjaini Dasgupta

493 total citations
24 papers, 337 citations indexed

About

Ujjaini Dasgupta is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Ujjaini Dasgupta has authored 24 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Ujjaini Dasgupta's work include Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Ujjaini Dasgupta is often cited by papers focused on Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Ujjaini Dasgupta collaborates with scholars based in India, United States and Australia. Ujjaini Dasgupta's co-authors include Avinash Bajaj, Sanjay Pal, Devashish Mehta, Sandeep Kumar, Ravi Datta Sharma, Satinder S. Rawat, Jairaj Acharya, U. Rajendra Acharya, Kunio Nagashima and Aasheesh Srivastava and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Neuron.

In The Last Decade

Ujjaini Dasgupta

23 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ujjaini Dasgupta India 11 219 52 42 38 36 24 337
Takashi Ohgita Japan 11 205 0.9× 34 0.7× 29 0.7× 34 0.9× 28 0.8× 35 415
Pan Fang China 13 511 2.3× 60 1.2× 46 1.1× 78 2.1× 35 1.0× 16 621
Urmimala Chatterjee Sweden 11 243 1.1× 113 2.2× 21 0.5× 25 0.7× 21 0.6× 17 456
Yalan Tang China 12 379 1.7× 58 1.1× 19 0.5× 22 0.6× 41 1.1× 16 604
Elsa Zacco Italy 15 448 2.0× 37 0.7× 24 0.6× 29 0.8× 17 0.5× 29 614
Wilfrid Dieryck France 14 282 1.3× 40 0.8× 47 1.1× 16 0.4× 57 1.6× 24 464
Eva Hrabárová Slovakia 13 282 1.3× 37 0.7× 80 1.9× 69 1.8× 53 1.5× 29 474
Annamária Marton Hungary 13 265 1.2× 39 0.8× 27 0.6× 31 0.8× 67 1.9× 28 542
Di Bei United States 12 153 0.7× 70 1.3× 33 0.8× 54 1.4× 39 1.1× 16 448
Carla M. Koehler United States 12 482 2.2× 20 0.4× 53 1.3× 22 0.6× 23 0.6× 13 627

Countries citing papers authored by Ujjaini Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Ujjaini Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ujjaini Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ujjaini Dasgupta. A scholar is included among the top collaborators of Ujjaini 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 Ujjaini Dasgupta. Ujjaini 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.
Mehta, Devashish, et al.. (2025). Docetaxel-conjugated bile acid-derived nanomicelles can inhibit tumour progression with reduced toxicity. Nanoscale Advances. 7(7). 2003–2010.
2.
Yadav, Poonam, Viviani Nardini, Ruchira Chakraborty, et al.. (2024). Engineered nanomicelles inhibit the tumour progression via abrogating the prostaglandin-mediated immunosuppression. Journal of Controlled Release. 368. 548–565. 5 indexed citations
3.
Mehta, Devashish, et al.. (2024). Unveiling the Role of Mechanistic Target of Rapamycin Kinase (MTOR) Signaling in Cancer Progression and the Emergence of MTOR Inhibitors as Therapeutic Strategies. ACS Pharmacology & Translational Science. 7(12). 3758–3779. 7 indexed citations
4.
5.
Bajaj, Avinash, et al.. (2024). Insights into molecular mechanisms of chemotherapy resistance in cancer. Translational Oncology. 42. 101901–101901. 24 indexed citations
6.
Mandal, Susmita, Gayatri Vishwakarma, S. V. S. Deo, et al.. (2023). Unique sphingolipid signature identifies luminal and triple‐negative breast cancer subtypes. International Journal of Cancer. 152(11). 2410–2423. 6 indexed citations
7.
Dasgupta, Ujjaini, et al.. (2023). Prediction of transcript structure and concentration using RNA-Seq data. Briefings in Bioinformatics. 24(2). 3 indexed citations
8.
Mehta, Devashish, Poonam Yadav, Aasheesh Srivastava, et al.. (2022). Hydrogel-mediated topical delivery of steroids can effectively alleviate psoriasis via attenuating the autoimmune responses. Nanoscale. 14(10). 3834–3848. 21 indexed citations
9.
Bajaj, Avinash, et al.. (2022). Ceramide Kinase (CERK) Emerges as a Common Therapeutic Target for Triple Positive and Triple Negative Breast Cancer Cells. Cancers. 14(18). 4496–4496. 10 indexed citations
10.
Kumar, Sandeep, Sanjay Pal, Jyoti Thakur, et al.. (2021). Nonimmunogenic Hydrogel-Mediated Delivery of Antibiotics Outperforms Clinically Used Formulations in Mitigating Wound Infections. ACS Applied Materials & Interfaces. 13(37). 44041–44053. 9 indexed citations
11.
Gupta, Siddhi, Arnab Mukhopadhyay, Dipankar Malakar, et al.. (2021). Alternative splicing of ceramide synthase 2 alters levels of specific ceramides and modulates cancer cell proliferation and migration in Luminal B breast cancer subtype. Cell Death and Disease. 12(2). 171–171. 21 indexed citations
12.
Pal, Sanjay, Vijay Soni, Sandeep Kumar, et al.. (2021). A hydrogel-based implantable multidrug antitubercular formulation outperforms oral delivery. Nanoscale. 13(31). 13225–13230. 7 indexed citations
13.
Pal, Sanjay, Devashish Mehta, Ujjaini Dasgupta, & Avinash Bajaj. (2021). Advances in engineering of low molecular weight hydrogels for chemotherapeutic applications. Biomedical Materials. 16(2). 24102–24102. 18 indexed citations
14.
Dasgupta, Ujjaini, et al.. (2021). Alternative splicing of CERS2 promotes cell proliferation and migration in luminal B subtype breast cancer cells. Oncoscience. 8. 50–52. 2 indexed citations
15.
16.
Sreekanth, Vedagopuram, Sandeep Kumar, Sanjay Pal, et al.. (2020). Bile Acid Tethered Docetaxel‐Based Nanomicelles Mitigate Tumor Progression through Epigenetic Changes. Angewandte Chemie International Edition. 60(10). 5394–5399. 17 indexed citations
17.
Kumar, Sandeep, Jyoti Thakur, Kavita Yadav, et al.. (2019). Cholic Acid-Derived Amphiphile which Combats Gram-Positive Bacteria-Mediated Infections via Disintegration of Lipid Clusters. ACS Biomaterials Science & Engineering. 5(9). 4764–4775. 25 indexed citations
18.
Acharya, Jairaj, Ujjaini Dasgupta, Satinder S. Rawat, et al.. (2008). Cell-Nonautonomous Function of Ceramidase in Photoreceptor Homeostasis. Neuron. 57(1). 69–79. 46 indexed citations
19.
Dasgupta, Ujjaini, Bharat L. Dixit, Melissa Rusch, Scott B. Selleck, & Inge The. (2007). Functional conservation of the human EXT1 tumor suppressor gene and its Drosophila homolog tout velu. Development Genes and Evolution. 217(8). 555–561. 3 indexed citations
20.
Dasgupta, Ujjaini, Mukesh Jain, Akhilesh K. Tyagi, & Jitendra P. Khurana. (2005). Regulatory elements for light-dependent and organ-specific expression of Arabidopsis thaliana PSBO1 gene encoding 33kDa polypeptide of the oxygen-evolving complex. Plant Science. 168(6). 1633–1642. 5 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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