Amogh Vaidya

443 total citations · 2 hit papers
13 papers, 294 citations indexed

About

Amogh Vaidya is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, Amogh Vaidya has authored 13 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Genetics. Recurrent topics in Amogh Vaidya's work include RNA Interference and Gene Delivery (9 papers), Lipid Membrane Structure and Behavior (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Amogh Vaidya is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Lipid Membrane Structure and Behavior (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Amogh Vaidya collaborates with scholars based in United States, India and Japan. Amogh Vaidya's co-authors include Samir Mitragotri, Daniel J. Siegwart, Lukas Farbiak, Sumanta Chatterjee, Sean A. Dilliard, Xizhen Lian, Ameeta Ravi Kumar, Smita Zinjarde, Yehui Sun and Mugdha Apte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Amogh Vaidya

10 papers receiving 291 citations

Hit Papers

The interplay of quaternary ammonium lipid structure and ... 2023 2026 2024 2025 2023 2025 25 50 75

Peers

Amogh Vaidya
Amogh Vaidya
Citations per year, relative to Amogh Vaidya Amogh Vaidya (= 1×) peers Richard Wibel

Countries citing papers authored by Amogh Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Amogh Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amogh Vaidya

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

All Works

13 of 13 papers shown
2.
Xiao, Yufen, Xizhen Lian, Yehui Sun, et al.. (2025). High-density brush-shaped polymer lipids reduce anti-PEG antibody binding for repeated administration of mRNA therapeutics. Nature Materials. 24(11). 1840–1851. 21 indexed citations breakdown →
3.
Guerrero, Erick, et al.. (2025). Investigating the functional contributions of phospholipids in selective organ targeting lipid nanoparticles. Biomaterials. 326. 123671–123671. 1 indexed citations
4.
Robinson, Joshua, Di Zhang, Pratima Basak, et al.. (2025). Reducing Complexity in Lipid Nanoparticles: Three-Component Zwitterionic Amino Lipids for Targeted Extrahepatic mRNA Delivery. ACS Biomaterials Science & Engineering. 11(8). 4853–4868.
5.
Kim, Jong Seung, Sumanta Chatterjee, Alan Robertson, et al.. (2025). Mannose-Conjugated Cholesterol Containing Lipid Nanoparticles for Active Targeted mRNA Delivery to Liver Sinusoidal Endothelial and Kupffer Cells. Bioconjugate Chemistry. 36(10). 2181–2196. 1 indexed citations
6.
Vaidya, Amogh, Yun‐Chieh Sung, Vanina Toffessi Tcheuyap, et al.. (2025). Endogenous Targeting of Lipid Nanoparticles to Kidney Tumors. ACS Nano. 19(34). 30860–30871.
7.
Vaidya, Amogh, Stephen D. Moore, Sumanta Chatterjee, et al.. (2024). Expanding RNAi to Kidneys, Lungs, and Spleen via Selective ORgan Targeting (SORT) siRNA Lipid Nanoparticles. Advanced Materials. 36(35). e2313791–e2313791. 34 indexed citations
8.
Wu, Shiying, Yangyang Yang, Xizhen Lian, et al.. (2024). Isosteric 3D Bicyclo[1.1.1]Pentane (BCP) Core-Based Lipids for mRNA Delivery and CRISPR/Cas Gene Editing. Journal of the American Chemical Society. 146(50). 34733–34742. 4 indexed citations
9.
Dilliard, Sean A., Yehui Sun, Yun‐Chieh Sung, et al.. (2023). The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticles. Journal of Controlled Release. 361. 361–372. 85 indexed citations breakdown →
10.
Cheng, Qiang, Lukas Farbiak, Amogh Vaidya, et al.. (2023). In situ production and secretion of proteins endow therapeutic benefit against psoriasiform dermatitis and melanoma. Proceedings of the National Academy of Sciences. 120(52). e2313009120–e2313009120. 11 indexed citations
11.
Vaidya, Amogh & Samir Mitragotri. (2020). Ionic liquid-mediated delivery of insulin to buccal mucosa. Journal of Controlled Release. 327. 26–34. 91 indexed citations
12.
Vaidya, Amogh, et al.. (2017). Selenium nanoparticle-enriched biomass of Yarrowia lipolytica enhances growth and survival of Artemia salina. Enzyme and Microbial Technology. 106. 48–54. 27 indexed citations
13.
Apte, Mugdha, et al.. (2016). Application of nanoparticles derived from marine Staphylococcus lentus in sensing dichlorvos and mercury ions. Colloids and Surfaces A Physicochemical and Engineering Aspects. 501. 1–8. 19 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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