Imran Rizvi

7.2k total citations · 2 hit papers
93 papers, 6.0k citations indexed

About

Imran Rizvi is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Imran Rizvi has authored 93 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Biomedical Engineering, 48 papers in Pulmonary and Respiratory Medicine and 22 papers in Oncology. Recurrent topics in Imran Rizvi's work include Nanoplatforms for cancer theranostics (50 papers), Photodynamic Therapy Research Studies (47 papers) and Cancer Cells and Metastasis (17 papers). Imran Rizvi is often cited by papers focused on Nanoplatforms for cancer theranostics (50 papers), Photodynamic Therapy Research Studies (47 papers) and Cancer Cells and Metastasis (17 papers). Imran Rizvi collaborates with scholars based in United States, France and Türkiye. Imran Rizvi's co-authors include Tayyaba Hasan, Jonathan P. Celli, Bryan Q. Spring, Brian W. Pogue, Conor L. Evans, Kimberley S. Samkoe, Sarika Verma, Brittany P. Rickard, Suzanne E. Fenton and Utkan Demirci and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Imran Rizvi

90 papers receiving 5.9k citations

Hit Papers

Imaging and Photodynamic Therapy: Mechanisms, Monitoring,... 2010 2026 2015 2020 2010 2021 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imran Rizvi United States 37 4.3k 3.0k 1.8k 897 829 93 6.0k
Xianzhong Zhang China 44 2.7k 0.6× 636 0.2× 1.8k 1.0× 1.9k 2.1× 1.4k 1.7× 220 7.7k
Guangyu Zhu China 48 1.9k 0.4× 628 0.2× 2.4k 1.4× 1.7k 1.9× 1.6k 2.0× 194 7.2k
Barbara W. Henderson United States 45 8.0k 1.9× 9.2k 3.0× 3.8k 2.1× 2.0k 2.2× 491 0.6× 90 11.7k
Dongwon Yoo United States 31 1.7k 0.4× 1.6k 0.5× 1.9k 1.1× 1.3k 1.5× 400 0.5× 108 6.5k
Daniel N. Slatkin United States 34 2.2k 0.5× 2.8k 0.9× 1.6k 0.9× 691 0.8× 164 0.2× 99 6.8k
Rui Tian China 46 6.2k 1.4× 1.3k 0.4× 3.6k 2.0× 2.5k 2.7× 672 0.8× 99 9.1k
Gang Niu United States 55 3.5k 0.8× 1.5k 0.5× 1.8k 1.0× 2.6k 2.9× 2.1k 2.5× 140 9.2k
Yongyi Zeng China 40 2.4k 0.6× 889 0.3× 1.5k 0.9× 2.4k 2.7× 736 0.9× 222 6.2k
Jun Zhao China 44 1.1k 0.3× 1.0k 0.3× 1.4k 0.8× 1.7k 1.9× 1.4k 1.7× 256 6.4k
Zhantong Wang United States 55 5.8k 1.4× 1.0k 0.3× 3.6k 2.1× 2.5k 2.8× 600 0.7× 94 8.8k

Countries citing papers authored by Imran Rizvi

Since Specialization
Citations

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

Fields of papers citing papers by Imran Rizvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Rizvi

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Rizvi. A scholar is included among the top collaborators of Imran Rizvi 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 Imran Rizvi. Imran Rizvi 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.
Rickard, Brittany P., Marta Overchuk, Mateus Prates Mori, et al.. (2025). Chronic PFAS exposure induces chemotherapy resistance by promoting mitochondria-related alterations in ovarian cancer cells. Environmental Research. 284. 122211–122211. 1 indexed citations
2.
Rickard, Brittany P., Marta Overchuk, Xianming Tan, et al.. (2025). Photodynamic priming overcomes platinum resistance from short‐term exposure to select perfluoroalkyl substances in endometrial cancer cell lines. Photochemistry and Photobiology. 101(5). 1177–1198.
3.
Zahid, Mohammad U., Shubhankar Nath, Tayyaba Hasan, et al.. (2024). Fractionated photoimmunotherapy stimulates an anti-tumour immune response: an integrated mathematical and in vitro study. British Journal of Cancer. 131(8). 1378–1386.
4.
Rickard, Brittany P., Marta Overchuk, Vesna A. Chappell, et al.. (2023). Methods to Evaluate Changes in Mitochondrial Structure and Function in Cancer. Cancers. 15(9). 2564–2564. 13 indexed citations
5.
Rickard, Brittany P., Xianming Tan, Suzanne E. Fenton, & Imran Rizvi. (2022). Select Per- and Polyfluoroalkyl Substances (PFAS) Induce Resistance to Carboplatin in Ovarian Cancer Cell Lines. International Journal of Molecular Sciences. 23(9). 5176–5176. 20 indexed citations
6.
Rickard, Brittany P., Imran Rizvi, & Suzanne E. Fenton. (2021). Per- and poly-fluoroalkyl substances (PFAS) and female reproductive outcomes: PFAS elimination, endocrine-mediated effects, and disease. Toxicology. 465. 153031–153031. 217 indexed citations breakdown →
7.
Conrad, Christina, Kaitlin Moore, William J. Polacheck, Imran Rizvi, & Giuliano Scarcelli. (2021). Mechanical Modulation of Ovarian Cancer Tumor Nodules Under Flow. IEEE Transactions on Biomedical Engineering. 69(1). 294–301. 7 indexed citations
8.
Anbil, Sriram, Michael Pigula, Huang‐Chiao Huang, et al.. (2020). Vitamin D Receptor Activation and Photodynamic Priming Enables Durable Low-dose Chemotherapy. Molecular Cancer Therapeutics. 19(6). 1308–1319. 39 indexed citations
9.
Nath, Shubhankar, Michael Pigula, Amjad Khan, et al.. (2020). Flow-induced Shear Stress Confers Resistance to Carboplatin in an Adherent Three-Dimensional Model for Ovarian Cancer: A Role for EGFR-Targeted Photoimmunotherapy Informed by Physical Stress. Journal of Clinical Medicine. 9(4). 924–924. 41 indexed citations
10.
Nath, Shubhankar, et al.. (2019). Cancer Cell‐targeted and Activatable Photoimmunotherapy Spares T Cells in a 3D Coculture Model. Photochemistry and Photobiology. 96(2). 295–300. 19 indexed citations
11.
Conrad, Christina, Kelsey M. Gray, Kimberly M. Stroka, Imran Rizvi, & Giuliano Scarcelli. (2019). Mechanical Characterization of 3D Ovarian Cancer Nodules Using Brillouin Confocal Microscopy. Cellular and Molecular Bioengineering. 12(3). 215–226. 32 indexed citations
12.
Huang, Huang‐Chiao, Yan Baglo, Imran Rizvi, et al.. (2017). Mechanism-informed Repurposing of Minocycline Overcomes Resistance to Topoisomerase Inhibition for Peritoneal Carcinomatosis. Molecular Cancer Therapeutics. 17(2). 508–520. 27 indexed citations
13.
Huang, Huang‐Chiao, Imran Rizvi, Sriram Anbil, et al.. (2017). Photodynamic Priming Mitigates Chemotherapeutic Selection Pressures and Improves Drug Delivery. Cancer Research. 78(2). 558–571. 84 indexed citations
14.
Huang, Huang‐Chiao, Srivalleesha Mallidi, Chun-Te Chiang, et al.. (2016). Photodynamic Therapy Synergizes with Irinotecan to Overcome Compensatory Mechanisms and Improve Treatment Outcomes in Pancreatic Cancer. Cancer Research. 76(5). 1066–1077. 118 indexed citations
15.
Rizvi, Imran, Jonathan P. Celli, Conor L. Evans, et al.. (2010). Synergistic Enhancement of Carboplatin Efficacy with Photodynamic Therapy in a Three-Dimensional Model for Micrometastatic Ovarian Cancer. Cancer Research. 70(22). 9319–9328. 153 indexed citations
16.
Rahmanzadeh, Ramtin, Prakash Rai, Jonathan P. Celli, et al.. (2010). Ki-67 as a Molecular Target for Therapy in an In vitro Three-Dimensional Model for Ovarian Cancer. Cancer Research. 70(22). 9234–9242. 64 indexed citations
17.
Celli, Jonathan P., Imran Rizvi, Conor L. Evans, Adnan O. Abu‐Yousif, & Tayyaba Hasan. (2010). 3D Ovarian Cancer Models: Imaging and Therapeutic Combinations. 11(4). 3 indexed citations
18.
Chang, Sung K., Imran Rizvi, Nicolas Solban, & Tayyaba Hasan. (2008). In vivo Optical Molecular Imaging of Vascular Endothelial Growth Factor for Monitoring Cancer Treatment. Clinical Cancer Research. 14(13). 4146–4153. 52 indexed citations
19.
Laubach, Hans‐Joachim, Sung K. Chang, Seonkyung Lee, et al.. (2008). In-vivo singlet oxygen dosimetry of clinical 5-aminolevulinic acid photodynamic therapy. Journal of Biomedical Optics. 13(5). 50504–50504. 35 indexed citations
20.
Hamblin, Michael R., et al.. (2003). Pegylation of charged polymer-photosensitiser conjugates: effects on photodynamic efficacy. British Journal of Cancer. 89(5). 937–943. 55 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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