Divya Pathania

1.5k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Divya Pathania is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Divya Pathania has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Divya Pathania's work include Digital Holography and Microscopy (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and ATP Synthase and ATPases Research (3 papers). Divya Pathania is often cited by papers focused on Digital Holography and Microscopy (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and ATP Synthase and ATPases Research (3 papers). Divya Pathania collaborates with scholars based in United States, Italy and Botswana. Divya Pathania's co-authors include Nouri Neamati, Ralph Weissleder, Melissa Millard, Hakho Lee, Cesar M. Castro, Jongmin Park, Sangmoo Jeong, Jinxia Deng, Hyungsoon Im and Misha Pivovarov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and ACS Nano.

In The Last Decade

Divya Pathania

18 papers receiving 1.3k citations

Hit Papers

Integrated Magneto–Electrochemical Sensor for Exosome Ana... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Pathania United States 15 825 418 262 136 131 18 1.3k
Luis G. Rodríguez United States 16 619 0.8× 250 0.6× 105 0.4× 156 1.1× 126 1.0× 57 1.4k
Roman Mezencev United States 29 1.1k 1.3× 474 1.1× 415 1.6× 238 1.8× 472 3.6× 86 2.4k
Jianfang Chen China 19 627 0.8× 108 0.3× 159 0.6× 164 1.2× 125 1.0× 58 1.1k
Anette Gjörloff Wingren Sweden 24 799 1.0× 353 0.8× 79 0.3× 44 0.3× 261 2.0× 59 1.9k
Stéphanie Bonneau France 20 693 0.8× 493 1.2× 123 0.5× 92 0.7× 43 0.3× 31 1.3k
Yoichi Takakusagi Japan 21 496 0.6× 126 0.3× 126 0.5× 56 0.4× 94 0.7× 67 1.0k
Zhuo Georgia Chen United States 24 621 0.8× 449 1.1× 143 0.5× 75 0.6× 276 2.1× 42 1.7k
Leonhard Möckl Germany 17 730 0.9× 272 0.7× 49 0.2× 167 1.2× 73 0.6× 44 1.4k
Rafał Fudala United States 20 447 0.5× 212 0.5× 76 0.3× 122 0.9× 46 0.4× 82 1.3k
Peixiang Ma China 27 1.4k 1.7× 346 0.8× 95 0.4× 452 3.3× 107 0.8× 95 2.2k

Countries citing papers authored by Divya Pathania

Since Specialization
Citations

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

Fields of papers citing papers by Divya Pathania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Pathania

This figure shows the co-authorship network connecting the top 25 collaborators of Divya Pathania. A scholar is included among the top collaborators of Divya Pathania 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 Divya Pathania. Divya Pathania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Pathania, Divya, Seonki Hong, Misha Pivovarov, et al.. (2019). Point-of-care cervical cancer screening using deep learning-based microholography. Theranostics. 9(26). 8438–8447. 26 indexed citations
2.
Huang, Chen-Han, Yong Il Park, Hsing-Ying Lin, et al.. (2019). Compact and Filter-Free Luminescence Biosensor for Mobile in Vitro Diagnoses. ACS Nano. 13(10). 11698–11706. 26 indexed citations
3.
Giedt, Randy J., et al.. (2018). Single-cell barcode analysis provides a rapid readout of cellular signaling pathways in clinical specimens. Nature Communications. 9(1). 4550–4550. 46 indexed citations
4.
Im, Hyungsoon, Divya Pathania, Aliyah R. Sohani, et al.. (2018). Design and clinical validation of a point-of-care device for the diagnosis of lymphoma via contrast-enhanced microholography and machine learning. Nature Biomedical Engineering. 2(9). 666–674. 54 indexed citations
5.
Min, Jouha, Hyungsoon Im, Matthew J. Allen, et al.. (2018). Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings. ACS Nano. 12(9). 9081–9090. 29 indexed citations
6.
Lin, Hsing-Ying, Chen-Han Huang, Jongmin Park, et al.. (2017). Integrated Magneto-Chemical Sensor For On-Site Food Allergen Detection. ACS Nano. 11(10). 10062–10069. 80 indexed citations
7.
Giedt, Randy J., Paolo Fumene Feruglio, Divya Pathania, et al.. (2016). Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response. Scientific Reports. 6(1). 32985–32985. 49 indexed citations
8.
Pathania, Divya, Hyungsoon Im, Aoife Kilcoyne, et al.. (2016). Holographic Assessment of Lymphoma Tissue (HALT) for Global Oncology Field Applications. Theranostics. 6(10). 1603–1610. 10 indexed citations
9.
Song, Jun Yeob, Christine Leon Swisher, Hyungsoon Im, et al.. (2016). Sparsity-Based Pixel Super Resolution for Lens-Free Digital In-line Holography. Scientific Reports. 6(1). 24681–24681. 33 indexed citations
10.
Im, Hyungsoon, Yong Il Park, Divya Pathania, et al.. (2016). Digital diffraction detection of protein markers for avian influenza. Lab on a Chip. 16(8). 1340–1345. 9 indexed citations
11.
Sanna, Vanna, Nicolino Pala, Salvatore Marceddu, et al.. (2016). Targeted Nanoparticles for the Delivery of Novel Bioactive Molecules to Pancreatic Cancer Cells. Journal of Medicinal Chemistry. 59(11). 5209–5220. 34 indexed citations
12.
Jeong, Sangmoo, Jongmin Park, Divya Pathania, et al.. (2016). Integrated Magneto–Electrochemical Sensor for Exosome Analysis. ACS Nano. 10(2). 1802–1809. 398 indexed citations breakdown →
13.
Im, Hyungsoon, Cesar M. Castro, Huilin Shao, et al.. (2015). Digital diffraction analysis enables low-cost molecular diagnostics on a smartphone. Proceedings of the National Academy of Sciences. 112(18). 5613–5618. 71 indexed citations
14.
Pathania, Divya, Yuting Kuang, Mario Sechi, & Nouri Neamati. (2014). Mechanisms underlying the cytotoxicity of a novel quinazolinedione‐based redox modulator, QD232, in pancreatic cancer cells. British Journal of Pharmacology. 172(1). 50–63. 7 indexed citations
15.
Pathania, Divya, et al.. (2013). Design and discovery of novel quinazolinedione-based redox modulators as therapies for pancreatic cancer. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(1). 332–343. 30 indexed citations
16.
Millard, Melissa, Divya Pathania, Fedora Grande, Shili Xu, & Nouri Neamati. (2011). Small-Molecule Inhibitors of p53-MDM2 Interaction: the 2006-2010 Update. Current Pharmaceutical Design. 17(6). 536–559. 54 indexed citations
17.
Millard, Melissa, et al.. (2010). Preclinical Evaluation of Novel Triphenylphosphonium Salts with Broad-Spectrum Activity. PLoS ONE. 5(10). e13131–e13131. 108 indexed citations
18.
Pathania, Divya, Melissa Millard, & Nouri Neamati. (2009). Opportunities in discovery and delivery of anticancer drugs targeting mitochondria and cancer cell metabolism☆. Advanced Drug Delivery Reviews. 61(14). 1250–1275. 233 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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