Rupsa Datta

2.0k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Rupsa Datta is a scholar working on Molecular Biology, Biophysics and Biomedical Engineering. According to data from OpenAlex, Rupsa Datta has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Biophysics and 8 papers in Biomedical Engineering. Recurrent topics in Rupsa Datta's work include Advanced Fluorescence Microscopy Techniques (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Neuroscience and Neural Engineering (4 papers). Rupsa Datta is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers) and Neuroscience and Neural Engineering (4 papers). Rupsa Datta collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Rupsa Datta's co-authors include Melissa C. Skala, Amani A. Gillette, Enrico Gratton, Tiffany M. Heaster, Joe T. Sharick, Steven C. George, Agua Sobrino, Alba Alfonso‐García, Duc T. T. Phan and Mónica Romero-López and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

In The Last Decade

Rupsa Datta

21 papers receiving 1.4k citations

Hit Papers

Fluorescence lifetime imaging microscopy: fundamentals an... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupsa Datta United States 13 554 550 423 166 127 23 1.4k
Ron A. Hoebe Netherlands 20 849 1.5× 323 0.6× 481 1.1× 122 0.7× 139 1.1× 48 1.7k
Felix Bestvater Germany 19 745 1.3× 199 0.4× 274 0.6× 180 1.1× 135 1.1× 43 1.4k
Michael Prummer Switzerland 19 638 1.2× 357 0.6× 194 0.5× 143 0.9× 80 0.6× 33 1.5k
Suman Ranjit United States 21 728 1.3× 330 0.6× 551 1.3× 63 0.4× 160 1.3× 43 1.5k
Shaoying Lu United States 24 823 1.5× 364 0.7× 176 0.4× 312 1.9× 92 0.7× 49 1.7k
Per Niklas Hedde United States 19 584 1.1× 213 0.4× 409 1.0× 97 0.6× 70 0.6× 45 1.3k
Elena A. Dubikovskaya Switzerland 15 602 1.1× 434 0.8× 177 0.4× 79 0.5× 133 1.0× 23 1.3k
Tiffany M. Heaster United States 11 358 0.6× 394 0.7× 348 0.8× 153 0.9× 109 0.9× 16 974
Jonathan V. Rocheleau Canada 29 1.4k 2.5× 803 1.5× 249 0.6× 217 1.3× 90 0.7× 67 2.7k
Chiara Stringari France 22 1.0k 1.8× 518 0.9× 858 2.0× 117 0.7× 216 1.7× 48 2.2k

Countries citing papers authored by Rupsa Datta

Since Specialization
Citations

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

Fields of papers citing papers by Rupsa Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupsa Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Rupsa Datta. A scholar is included among the top collaborators of Rupsa Datta 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 Rupsa Datta. Rupsa Datta 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.
Datta, Rupsa, Veronika Miskolci, Emily C. Britt, et al.. (2025). Single cell autofluorescence imaging reveals immediate metabolic shifts of neutrophils with activation across biological systems. Frontiers in Immunology. 16. 1617993–1617993.
2.
Wagner, Andrew S., Frances M. Smith, David A. Bennin, et al.. (2025). GATA1-deficient human pluripotent stem cells generate neutrophils with improved antifungal immunity that is mediated by the integrin CD18. PLoS Pathogens. 21(2). e1012654–e1012654. 1 indexed citations
3.
Datta, Rupsa, et al.. (2025). Mitochondrial metabolism is rapidly re-activated in mature neutrophils to support stimulation-induced response. Frontiers in Immunology. 16. 1572927–1572927.
4.
Gillette, Amani A., et al.. (2024). Perspectives on label-free microscopy of heterogeneous and dynamic biological systems. Journal of Biomedical Optics. 29(S2). S22702–S22702. 1 indexed citations
5.
Geiger, Peter, Rupsa Datta, Anne Marie Singh, et al.. (2024). Micro blood analysis technology (μBAT): multiplexed analysis of neutrophil phenotype and function from microliter whole blood samples. Lab on a Chip. 24(17). 4198–4210. 1 indexed citations
6.
Datta, Rupsa, José M. Ayuso, Anna Huttenlocher, et al.. (2024). Naive primary neutrophils play a dual role in the tumor microenvironment. iScience. 27(9). 110632–110632. 4 indexed citations
7.
Datta, Rupsa, Sharanya Sivanand, Allison N. Lau, et al.. (2022). Interactions with stromal cells promote a more oxidized cancer cell redox state in pancreatic tumors. Science Advances. 8(3). eabg6383–eabg6383. 20 indexed citations
8.
Datta, Rupsa, et al.. (2021). Recent innovations in fluorescence lifetime imaging microscopy for biology and medicine. Journal of Biomedical Optics. 26(7). 39 indexed citations
9.
Datta, Rupsa, Tiffany M. Heaster, Joe T. Sharick, Amani A. Gillette, & Melissa C. Skala. (2020). Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications. Journal of Biomedical Optics. 25(7). 1–1. 535 indexed citations breakdown →
10.
Pointer, Kelli B., et al.. (2020). Metabolic mapping of glioblastoma stem cells reveals NADH fluxes associated with glioblastoma phenotype and survival. Journal of Biomedical Optics. 25(3). 1–1. 12 indexed citations
11.
Polyzos, Aris, Do Yup Lee, Rupsa Datta, et al.. (2019). Metabolic Reprogramming in Astrocytes Distinguishes Region-Specific Neuronal Susceptibility in Huntington Mice. Cell Metabolism. 29(6). 1258–1273.e11. 112 indexed citations
12.
Bhattacharjee, Arunima, Rupsa Datta, Enrico Gratton, & Allon I. Hochbaum. (2017). Metabolic fingerprinting of bacteria by fluorescence lifetime imaging microscopy. Scientific Reports. 7(1). 3743–3743. 38 indexed citations
13.
Datta, Rupsa, et al.. (2016). Label-free imaging of metabolism and oxidative stress in human induced pluripotent stem cell-derived cardiomyocytes. Biomedical Optics Express. 7(5). 1690–1690. 42 indexed citations
14.
Fahrmann, Johannes F., Rupsa Datta, Chiara Stringari, et al.. (2016). Metabolic changes associated with methionine stress sensitivity in MDA-MB-468 breast cancer cells. Cancer & Metabolism. 4(1). 9–9. 61 indexed citations
15.
Datta, Rupsa, et al.. (2016). Automated detection and analysis of depolarization events in human cardiomyocytes using MaDEC. Computers in Biology and Medicine. 75. 109–117. 1 indexed citations
16.
Sobrino, Agua, Duc T. T. Phan, Rupsa Datta, et al.. (2016). 3D microtumors in vitro supported by perfused vascular networks. Scientific Reports. 6(1). 31589–31589. 305 indexed citations
17.
Alfonso‐García, Alba, Tim Smith, Rupsa Datta, et al.. (2016). Label-free identification of macrophage phenotype by fluorescence lifetime imaging microscopy. Journal of Biomedical Optics. 21(4). 46005–46005. 51 indexed citations
19.
Datta, Rupsa, Alba Alfonso‐García, Rachel Cinco, & Enrico Gratton. (2015). Fluorescence lifetime imaging of endogenous biomarker of oxidative stress. Scientific Reports. 5(1). 9848–9848. 105 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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