Aniruddha Roy

2.4k total citations · 1 hit paper
51 papers, 2.0k citations indexed

About

Aniruddha Roy is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Aniruddha Roy has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomaterials, 21 papers in Biomedical Engineering and 11 papers in Molecular Biology. Recurrent topics in Aniruddha Roy's work include Nanoparticle-Based Drug Delivery (20 papers), Nanoplatforms for cancer theranostics (16 papers) and Wound Healing and Treatments (5 papers). Aniruddha Roy is often cited by papers focused on Nanoparticle-Based Drug Delivery (20 papers), Nanoplatforms for cancer theranostics (16 papers) and Wound Healing and Treatments (5 papers). Aniruddha Roy collaborates with scholars based in India, Canada and United Kingdom. Aniruddha Roy's co-authors include Shyh‐Dar Li, Mark J. Ernsting, Mami Murakami, Swati Sharma, Gautam Singhvi, Elijus Undzys, Vamshi Krishna Rapalli, Pramod Upadhyay, Sangeeta Bhaskar and Manu Smriti Singh and has published in prestigious journals such as Biomaterials, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Aniruddha Roy

46 papers receiving 2.0k citations

Hit Papers

Factors controlling the pharmacokinetics, biodistribution... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aniruddha Roy India 22 921 823 612 305 229 51 2.0k
Chunmeng Sun China 27 686 0.7× 985 1.2× 757 1.2× 246 0.8× 334 1.5× 70 2.1k
Nina Filipczak United States 23 864 0.9× 720 0.9× 1.0k 1.7× 203 0.7× 198 0.9× 44 2.2k
Raj Kumar Thapa South Korea 29 938 1.0× 1.1k 1.3× 614 1.0× 291 1.0× 259 1.1× 57 2.2k
Xinru You China 30 918 1.0× 859 1.0× 900 1.5× 172 0.6× 247 1.1× 61 2.4k
Giuseppina Bozzuto Italy 17 737 0.8× 490 0.6× 1.1k 1.8× 309 1.0× 233 1.0× 35 2.4k
Edgar Pérez‐Herrero Spain 16 771 0.8× 760 0.9× 707 1.2× 158 0.5× 130 0.6× 21 1.9k
Yiping Hu China 10 1.1k 1.2× 780 0.9× 991 1.6× 317 1.0× 219 1.0× 22 2.5k
Yan Shen China 31 966 1.0× 900 1.1× 992 1.6× 424 1.4× 112 0.5× 114 2.6k
Upendra Bulbake India 10 787 0.9× 525 0.6× 905 1.5× 403 1.3× 261 1.1× 12 1.9k
Jianhong Yang China 24 652 0.7× 426 0.5× 629 1.0× 340 1.1× 188 0.8× 77 1.8k

Countries citing papers authored by Aniruddha Roy

Since Specialization
Citations

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

Fields of papers citing papers by Aniruddha Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniruddha Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Aniruddha Roy. A scholar is included among the top collaborators of Aniruddha Roy 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 Aniruddha Roy. Aniruddha Roy 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.
Verma, Vivek, et al.. (2025). Engineering an Injectable Scaffold with Enhanced ECM Mimicry for Cell Delivery and Tissue Regeneration. ACS Biomaterials Science & Engineering. 11(10). 6052–6067.
2.
3.
Mohanty, Ajeet Kumar, et al.. (2025). Design, Synthesis and in vitro Evaluation of Primaquine and Diaminoquinazoline Hybrid Molecules Against the Malaria Parasite. Chemistry - An Asian Journal. 20(6). e202401366–e202401366.
4.
Desai, Vaibhavi Meghraj, Srimonti Dutta, Priti Pal, et al.. (2025). Harnessing cold atmospheric plasma for skin cancer: a non-invasive breakthrough in plasma medicine. Drug Discovery Today. 30(11). 104491–104491.
5.
Priya, Sakshi, Vivek Verma, Aniruddha Roy, & Gautam Singhvi. (2025). Surface-engineered hyaluronic acid-coated lyotropic liquid crystalline nanoparticles for CD44-targeting of 3-Acetyl-11-keto-β-boswellic acid in rheumatoid arthritis treatment. Journal of Nanobiotechnology. 23(1). 725–725.
6.
Roy, Aniruddha, et al.. (2024). The Power of Synergism: A Novel Drug Combination for Improved Therapy of Glioblastoma. Advanced Therapeutics. 7(6). 3 indexed citations
7.
Paul, Milan, et al.. (2024). Synergistic Chemo-Immunotherapy Using pH-Responsive Nanoparticles in Breast Cancer Treatment: In Vitro and In Vivo Studies. Molecular Pharmaceutics. 21(12). 6270–6289. 2 indexed citations
8.
Rapalli, Vamshi Krishna, et al.. (2023). Apremilast loaded lyotropic liquid crystalline nanoparticles embedded hydrogel for improved permeation and skin retention: An effective approach for psoriasis treatment. Biomedicine & Pharmacotherapy. 162. 114634–114634. 30 indexed citations
11.
Sharma, Swati, et al.. (2023). Development and evaluation of a simvastatin-loaded biopolymeric scaffold for improved angiogenesis and healing of diabetic wounds. Journal of Drug Delivery Science and Technology. 87. 104832–104832. 8 indexed citations
12.
Waghule, Tejashree, et al.. (2023). Exploring temozolomide encapsulated PEGylated liposomes and lyotropic liquid crystals for effective treatment of glioblastoma: in-vitro, cell line, and pharmacokinetic studies. European Journal of Pharmaceutics and Biopharmaceutics. 186. 18–29. 15 indexed citations
13.
Paul, Milan, et al.. (2023). Overcoming drug resistance with a docetaxel and disulfiram loaded pH-sensitive nanoparticle. Journal of Controlled Release. 356. 93–114. 25 indexed citations
14.
Roy, Aniruddha, et al.. (2022). pH-Responsive Nanoparticles for Multidimensional Combined Chemo-Immunotherapy of Cancer. Journal of Pharmaceutical Sciences. 111(8). 2353–2368. 8 indexed citations
15.
Sharma, Swati, et al.. (2022). Chitosan, chondroitin sulfate, and hyaluronic acid based in-situ forming scaffold for efficient cell grafting. International Journal of Biological Macromolecules. 225. 938–951. 8 indexed citations
16.
Sharma, Swati, et al.. (2020). Disulfiram potentiates docetaxel cytotoxicity in breast cancer cells through enhanced ROS and autophagy. Pharmacological Reports. 72(6). 1749–1765. 26 indexed citations
17.
Sharma, Swati, et al.. (2020). A comprehensive review of the strategies to improve oral drug absorption with special emphasis on the cellular and molecular mechanisms. Journal of Drug Delivery Science and Technology. 61. 102178–102178. 18 indexed citations
18.
Roy, Aniruddha, et al.. (2018). Tumor heterogeneity and nanoparticle-mediated tumor targeting: the importance of delivery system personalization. Drug Delivery and Translational Research. 8(5). 1508–1526. 39 indexed citations
19.
Roy, Aniruddha, Yucheng Zhao, Yang Yang, et al.. (2017). Selective targeting and therapy of metastatic and multidrug resistant tumors using a long circulating podophyllotoxin nanoparticle. Biomaterials. 137. 11–22. 35 indexed citations
20.
Roy, Aniruddha, Manu Smriti Singh, Pramod Upadhyay, & Sangeeta Bhaskar. (2013). Nanoparticle mediated co-delivery of paclitaxel and a TLR-4 agonist results in tumor regression and enhanced immune response in the tumor microenvironment of a mouse model. International Journal of Pharmaceutics. 445(1-2). 171–180. 63 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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