Pooja Mehta

2.1k total citations
32 papers, 1.4k citations indexed

About

Pooja Mehta is a scholar working on Oncology, Biomedical Engineering and Immunology. According to data from OpenAlex, Pooja Mehta has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Biomedical Engineering and 6 papers in Immunology. Recurrent topics in Pooja Mehta's work include Cancer Cells and Metastasis (13 papers), 3D Printing in Biomedical Research (8 papers) and Mathematical Biology Tumor Growth (5 papers). Pooja Mehta is often cited by papers focused on Cancer Cells and Metastasis (13 papers), 3D Printing in Biomedical Research (8 papers) and Mathematical Biology Tumor Growth (5 papers). Pooja Mehta collaborates with scholars based in United States, India and United Kingdom. Pooja Mehta's co-authors include Geeta Mehta, Shreya Raghavan, Eric N. Horst, Maria R. Ward, Niwa Ali, Abul K. Abbas, Michael D. Rosenblum, Yu L. Lei, Yuying Xie and Michael E. Bregenzer and has published in prestigious journals such as Immunity, The Journal of Immunology and PLoS ONE.

In The Last Decade

Pooja Mehta

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Mehta United States 15 468 409 376 284 167 32 1.4k
Witold W. Kilarski Switzerland 19 663 1.4× 262 0.6× 608 1.6× 189 0.7× 145 0.9× 44 1.5k
Esther N. Arwert United Kingdom 11 901 1.9× 536 1.3× 848 2.3× 310 1.1× 352 2.1× 15 2.1k
Stephan Niland Germany 22 448 1.0× 236 0.6× 895 2.4× 228 0.8× 396 2.4× 42 1.9k
Janusz Franco‐Barraza United States 21 643 1.4× 218 0.5× 468 1.2× 185 0.7× 300 1.8× 26 1.3k
Cinzia Zucchini Italy 19 178 0.4× 225 0.6× 416 1.1× 141 0.5× 160 1.0× 51 1.2k
Coert Margadant Netherlands 23 278 0.6× 283 0.7× 902 2.4× 141 0.5× 185 1.1× 39 2.1k
Shadmehr Demehri United States 29 1.0k 2.2× 927 2.3× 868 2.3× 236 0.8× 170 1.0× 92 3.2k
Douglas P. Dyer United Kingdom 17 403 0.9× 497 1.2× 438 1.2× 102 0.4× 79 0.5× 29 1.3k
Stephanie K. Watkins United States 12 346 0.7× 933 2.3× 628 1.7× 120 0.4× 315 1.9× 14 1.7k
Maria Angelica Selim United States 21 401 0.9× 232 0.6× 380 1.0× 82 0.3× 63 0.4× 53 1.3k

Countries citing papers authored by Pooja Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Mehta. A scholar is included among the top collaborators of Pooja Mehta 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 Pooja Mehta. Pooja Mehta 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, Pooja, et al.. (2025). Benchmarking YOLO Variants for Enhanced Blood Cell Detection. International Journal of Imaging Systems and Technology. 35(1). 4 indexed citations
2.
Mehta, Pooja, et al.. (2024). Brain Tumor Detection using YOLO v7 and YOLO v8. 160–165. 2 indexed citations
3.
Kapur, Arvinder, Pooja Mehta, Spencer S. Ericksen, et al.. (2022). Atovaquone: An Inhibitor of Oxidative Phosphorylation as Studied in Gynecologic Cancers. Cancers. 14(9). 2297–2297. 34 indexed citations
4.
Horst, Eric N., et al.. (2022). Injectable three-dimensional tumor microenvironments to study mechanobiology in ovarian cancer. Acta Biomaterialia. 146. 222–234. 7 indexed citations
5.
Bregenzer, Michael E., et al.. (2021). The Role of the Tumor Microenvironment in CSC Enrichment and Chemoresistance: 3D Co-culture Methods. Methods in molecular biology. 2424. 217–245. 4 indexed citations
6.
Raghavan, Shreya, Pooja Mehta, Yuying Xie, Yu L. Lei, & Geeta Mehta. (2020). Abstract B07: Ovarian cancer stem-like cells and alternately activated macrophages reciprocally interact through the WNT pathway to promote protumoral and malignant phenotypes in 3D engineered microenvironments. Clinical Cancer Research. 26(13_Supplement). B07–B07. 2 indexed citations
7.
Mathur, Anubhav, Bahar Zirak, Ian C. Boothby, et al.. (2019). Treg-Cell Control of a CXCL5-IL-17 Inflammatory Axis Promotes Hair-Follicle-Stem-Cell Differentiation During Skin-Barrier Repair. Immunity. 50(3). 655–667.e4. 112 indexed citations
8.
Bregenzer, Michael E., Eric N. Horst, Pooja Mehta, et al.. (2019). Integrated cancer tissue engineering models for precision medicine. PLoS ONE. 14(5). e0216564–e0216564. 64 indexed citations
9.
Bregenzer, Michael E., Eric N. Horst, Pooja Mehta, et al.. (2019). Physiologic Patient Derived 3D Spheroids for Anti-neoplastic Drug Screening to Target Cancer Stem Cells. Journal of Visualized Experiments. 11 indexed citations
10.
Ward, Maria R., Pooja Mehta, Michael E. Bregenzer, et al.. (2019). Engineered 3D Model of Cancer Stem Cell Enrichment and Chemoresistance. Neoplasia. 21(8). 822–836. 48 indexed citations
11.
Raghavan, Shreya, Pooja Mehta, Yuying Xie, Yu L. Lei, & Geeta Mehta. (2019). Ovarian cancer stem cells and macrophages reciprocally interact through the WNT pathway to promote pro-tumoral and malignant phenotypes in 3D engineered microenvironments. Journal for ImmunoTherapy of Cancer. 7(1). 190–190. 177 indexed citations
12.
Mehta, Pooja & Michael D. Rosenblum. (2018). Colitis interruptus: LAGing gut inflammation. Science Immunology. 3(27).
13.
Mehta, Pooja, et al.. (2018). Maduromycosis of Hand: A Rare Form of Chronic Granulomatous Infection with Role of Imaging. Journal of Tropical Diseases. 6(4). 1 indexed citations
14.
Raghavan, Shreya, Pooja Mehta, Maria R. Ward, et al.. (2017). Personalized Medicine–Based Approach to Model Patterns of Chemoresistance and Tumor Recurrence Using Ovarian Cancer Stem Cell Spheroids. Clinical Cancer Research. 23(22). 6934–6945. 71 indexed citations
15.
Shetty, Rohit, et al.. (2017). The impact of dysfunctional tear films and optical aberrations on chronic migraine. Eye and Vision. 4(1). 4–4. 12 indexed citations
16.
Mehta, Pooja, Caymen M. Novak, Shreya Raghavan, Maria R. Ward, & Geeta Mehta. (2017). Self-Renewal and CSCs In Vitro Enrichment: Growth as Floating Spheres. Methods in molecular biology. 1692. 61–75. 30 indexed citations
17.
Nosbaum, Audrey, Nicolas Prevel, Hong-An Truong, et al.. (2016). Cutting Edge: Regulatory T Cells Facilitate Cutaneous Wound Healing. The Journal of Immunology. 196(5). 2010–2014. 303 indexed citations
18.
Mehta, Pooja, Mahesh Prakash, & Niranjan Khandelwal. (2016). Radiological manifestations of hydatid disease and its complications. Tropical parasitology. 6(2). 103–103. 60 indexed citations
19.
Hargrave, Aubrey, et al.. (2015). Metabolic syndrome affects mouse corneal epithelium and nerve morphology. Investigative Ophthalmology & Visual Science. 56(7). 3076–3076. 2 indexed citations
20.
Mallipatna, Ashwin, et al.. (2015). The use of handheld spectral domain optical coherence tomography in pediatric ophthalmology practice: Our experience of 975 infants and children. Indian Journal of Ophthalmology. 63(7). 586–586. 37 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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