Meenal Datta

4.6k total citations · 2 hit papers
42 papers, 2.6k citations indexed

About

Meenal Datta is a scholar working on Cell Biology, Immunology and Oncology. According to data from OpenAlex, Meenal Datta has authored 42 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 13 papers in Immunology and 12 papers in Oncology. Recurrent topics in Meenal Datta's work include Cellular Mechanics and Interactions (9 papers), Immune cells in cancer (9 papers) and Glioma Diagnosis and Treatment (7 papers). Meenal Datta is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), Immune cells in cancer (9 papers) and Glioma Diagnosis and Treatment (7 papers). Meenal Datta collaborates with scholars based in United States, France and Puerto Rico. Meenal Datta's co-authors include Rakesh K. Jain, Dai Fukumura, Vasileios Askoxylakis, Jessica A. Carr, Daniel Franke, Moungi G. Bawendi, Justin R. Caram, Oliver T. Bruns†, Collin F. Perkinson and Hadi T. Nia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Meenal Datta

37 papers receiving 2.6k citations

Hit Papers

Shortwave infrared fluorescence imaging with the clinical... 2018 2026 2020 2023 2018 2019 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Shortwave infrared fluorescence imaging with the clinically approved near-infrared dye indocyanine green
    2018 565 citations Jessica A. Carr, Daniel Franke et al. Proceedings of the National Academy of Sciences profile →
  2. Losartan treatment enhances chemotherapy efficacy and reduces ascites in ovarian cancer models by normalizing the tumor stroma
    2019 198 citations Hadi T. Nia, Ashwin S. Kumar et al. Proceedings of the National Academy of Sciences profile →

Peers

Meenal Datta
Mahaveer S. Bhojani United States
Jason R. Gunn United States
Dorothy A. Sipkins United States
Fotios Mpekris Cyprus
Daisy W.J. van der Schaft Netherlands
Cheng Dong United States
Juwell W. Wu United States
Jay F. Dorsey United States
Marjan Rafat United States
Trevor D. McKee Canada
Mahaveer S. Bhojani United States
Meenal Datta
Citations per year, relative to Meenal Datta Meenal Datta (= 1×) peers Mahaveer S. Bhojani

Countries citing papers authored by Meenal Datta

Since Specialization
Citations

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

Fields of papers citing papers by Meenal Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meenal Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Meenal Datta. A scholar is included among the top collaborators of Meenal 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 Meenal Datta. Meenal 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.
Nia, Hadi T., Meenal Datta, Ashwin S. Kumar, et al.. (2025). Solid Stress Estimations via Intraoperative 3D Navigation in Patients with Brain Tumors. Clinical Cancer Research. 31(16). 3571–3580. 1 indexed citations
2.
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Senapati, Satyajyoti, et al.. (2024). A Mem-dELISA platform for dual color and ultrasensitive digital detection of colocalized proteins on extracellular vesicles. Biosensors and Bioelectronics. 267. 116848–116848. 5 indexed citations
4.
Datta, Meenal, Laura E. Via, Véronique Dartois, et al.. (2024). Normalizing granuloma vasculature and matrix improves drug delivery and reduces bacterial burden in tuberculosis-infected rabbits. Proceedings of the National Academy of Sciences. 121(14). e2321336121–e2321336121. 10 indexed citations
5.
Datta, Meenal, et al.. (2024). Simulating the impact of tumor mechanical forces on glymphatic networks in the brain parenchyma. Biomechanics and Modeling in Mechanobiology. 23(6). 2229–2241. 6 indexed citations
6.
Zhang, Zhumin, et al.. (2024). Ratiometric near-infrared fluorescent probe for nitroreductase activity enables 3D imaging of hypoxic cells within intact tumor spheroids. Chemical Science. 15(10). 3633–3639. 18 indexed citations
7.
Datta, Meenal, Laura E. Via, James W. Baish, et al.. (2024). Mathematical model of oxygen, nutrient, and drug transport in tuberculosis granulomas. PLoS Computational Biology. 20(2). e1011847–e1011847. 6 indexed citations
8.
Datta, Meenal, et al.. (2024). Single-cell mechanical assay unveils viscoelastic similarities in normal and neoplastic brain cells. Biophysical Journal. 123(9). 1098–1105. 5 indexed citations
9.
Datta, Meenal, Laura E. Via, Véronique Dartois, et al.. (2024). Leveraging insights from cancer to improve tuberculosis therapy. Trends in Molecular Medicine. 31(1). 11–20. 3 indexed citations
10.
Li, Jun, et al.. (2024). Novel 3-D Macrophage Spheroid Model Reveals Reciprocal Regulation of Immunomechanical Stress and Mechano-Immunological Response. Cellular and Molecular Bioengineering. 17(5). 329–344. 3 indexed citations
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Dong, Xinyue, Jun Ren, Zohreh Amoozgar, et al.. (2023). Anti-VEGF therapy improves EGFR-vIII-CAR-T cell delivery and efficacy in syngeneic glioblastoma models in mice. Journal for ImmunoTherapy of Cancer. 11(3). e005583–e005583. 79 indexed citations
13.
Zhang, Sue, et al.. (2023). The peritumor microenvironment: physics and immunity. Trends in cancer. 9(8). 609–623. 28 indexed citations
14.
Nia, Hadi T., Meenal Datta, Giorgio Seano, et al.. (2020). In vivo compression and imaging in mouse brain to measure the effects of solid stress. Nature Protocols. 15(8). 2321–2340. 28 indexed citations
15.
Carr, Jessica A., Daniel Franke, Justin R. Caram, et al.. (2018). Shortwave infrared fluorescence imaging with the clinically approved near-infrared dye indocyanine green. Proceedings of the National Academy of Sciences. 115(17). 4465–4470. 565 indexed citations breakdown →
16.
Nia, Hadi T., Meenal Datta, Giorgio Seano, et al.. (2018). Quantifying solid stress and elastic energy from excised or in situ tumors. Nature Protocols. 13(5). 1091–1105. 69 indexed citations
17.
Zhang, Na, Jie Chen, Gino B. Ferraro, et al.. (2017). Anti-VEGF treatment improves neurological function in tumors of the nervous system. Experimental Neurology. 299(Pt B). 326–333. 16 indexed citations
18.
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Datta, Meenal, Laura E. Via, Wei Chen, et al.. (2015). Mathematical Model of Oxygen Transport in Tuberculosis Granulomas. Annals of Biomedical Engineering. 44(4). 863–872. 29 indexed citations
20.
Ma, Averil, et al.. (1995). T cells, but not B cells, are required for bowel inflammation in interleukin 2-deficient mice.. The Journal of Experimental Medicine. 182(5). 1567–1572. 111 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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