Sanket Shah

1.1k total citations · 1 hit paper
16 papers, 884 citations indexed

About

Sanket Shah is a scholar working on Biomaterials, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, Sanket Shah has authored 16 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 7 papers in Molecular Biology and 6 papers in Pharmaceutical Science. Recurrent topics in Sanket Shah's work include Nanoparticle-Based Drug Delivery (7 papers), Polysaccharides and Plant Cell Walls (3 papers) and Drug Solubulity and Delivery Systems (3 papers). Sanket Shah is often cited by papers focused on Nanoparticle-Based Drug Delivery (7 papers), Polysaccharides and Plant Cell Walls (3 papers) and Drug Solubulity and Delivery Systems (3 papers). Sanket Shah collaborates with scholars based in India, United States and Denmark. Sanket Shah's co-authors include Mangal S. Nagarsenker, Vivek Dhawan, René Holm, Yvonne Perrie, Ankitkumar S. Jain, Rajiv P. Gude, Frank Steiniger, Alfred Fahr, Peeyush N. Goel and Mukul Ashtikar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Drug Delivery Reviews and International Journal of Pharmaceutics.

In The Last Decade

Sanket Shah

15 papers receiving 871 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Liposomes: Advancements and innovation in the manufacturing process

2020 524 citations Sanket Shah, Vivek Dhawan et al. Advanced Drug Delivery Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanket Shah India	9	367	287	247	210	88	16	884
Marwa A. Sallam Egypt	19	350 1.0×	251 0.9×	283 1.1×	186 0.9×	145 1.6×	34	1.0k
Diana Guimarães Portugal	7	470 1.3×	373 1.3×	181 0.7×	260 1.2×	62 0.7×	12	1.0k
Eman Alaaeldin Egypt	15	380 1.0×	288 1.0×	183 0.7×	162 0.8×	122 1.4×	30	980
Xiaomeng Tang China	18	392 1.1×	196 0.7×	230 0.9×	182 0.9×	108 1.2×	38	945
Usamah Sayed Jordan	3	356 1.0×	284 1.0×	174 0.7×	198 0.9×	48 0.5×	4	818
Rajan Swami India	16	365 1.0×	293 1.0×	208 0.8×	166 0.8×	44 0.5×	38	849
Chien Ngoc Nguyen Vietnam	17	270 0.7×	262 0.9×	303 1.2×	204 1.0×	39 0.4×	40	854
Leonardo Delello Di Filippo Brazil	18	323 0.9×	245 0.9×	158 0.6×	224 1.1×	49 0.6×	54	871
Pooja Hurkat India	18	307 0.8×	335 1.2×	384 1.6×	148 0.7×	44 0.5×	25	996

Countries citing papers authored by Sanket Shah

Since Specialization

Citations

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

Fields of papers citing papers by Sanket Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanket Shah

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

All Works

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16 of 16 papers shown

Holm, René, et al.. (2025). Detailed physicochemical characterization of charged and neutral LeciPlex®: loading efficiency and in vitro activity of Voriconazole and Amphotericin B. International Journal of Pharmaceutics. 681. 125880–125880.

Khamiakova, Tatsiana, et al.. (2024). Can We Simplify Liposome Manufacturing Using a Complex DoE Approach?. Pharmaceutics. 16(9). 1159–1159. 3 indexed citations

Holm, René, Sanket Shah, Ujwala Shinde, et al.. (2024). Impact of formulation parameters on self-assembled liposomes (LeciPlex® III): A detailed investigation. International Journal of Pharmaceutics. 657. 124147–124147. 2 indexed citations

Shah, Neelam G., et al.. (2023). Exploring Palmitoylated Arabinogalactan in Solid Lipid Nanoparticles: Formulation Design and in vitro Assessment for Hepatospecific Targeting. Drug Delivery Letters. 13(2). 92–102. 1 indexed citations

Koehl, Niklas J., et al.. (2021). Lipid Based Formulations in Hard Gelatin and HPMC Capsules: a Physical Compatibility Study. Pharmaceutical Research. 38(8). 1439–1454. 6 indexed citations

Shah, Sanket, Vivek Dhawan, René Holm, Mangal S. Nagarsenker, & Yvonne Perrie. (2020). Liposomes: Advancements and innovation in the manufacturing process. Advanced Drug Delivery Reviews. 154-155. 102–122. 524 indexed citations breakdown →

Shah, Sanket, et al.. (2016). Influence of Test Parameters on Release Rate of Hydrocortisone from Cream: Study Using Vertical Diffusion Cell. Dissolution Technologies. 23(3). 14–20. 8 indexed citations

Shah, Sanket, Mukul Ashtikar, Ankitkumar S. Jain, et al.. (2015). LeciPlex, invasomes, and liposomes: A skin penetration study. International Journal of Pharmaceutics. 490(1-2). 391–403. 98 indexed citations

Jain, Ankitkumar S., Peeyush N. Goel, Sanket Shah, et al.. (2014). Docetaxel in cationic lipid nanocapsules for enhancedin vivoactivity. Pharmaceutical Development and Technology. 21(1). 76–85. 6 indexed citations

10.

Shah, Sanket, Peeyush N. Goel, Ankitkumar S. Jain, et al.. (2014). Liposomes for targeting hepatocellular carcinoma: Use of conjugated arabinogalactan as targeting ligand. International Journal of Pharmaceutics. 477(1-2). 128–139. 44 indexed citations

11.

Jain, Ankitkumar S., Peeyush N. Goel, Sanket Shah, et al.. (2014). Tamoxifen guided liposomes for targeting encapsulated anticancer agent to estrogen receptor positive breast cancer cells: In vitro and in vivo evaluation. Biomedicine & Pharmacotherapy. 68(4). 429–438. 38 indexed citations

12.

Sivaramakrishnan, H., et al.. (2014). Formulation and Characterization of Solid Dispersion Prepared by Hot Melt Mixing: A Fast Screening Approach for Polymer Selection. PubMed. 2014. 1–13. 20 indexed citations

13.

Shah, Sanket, et al.. (2014). Preclinical Formulations: Insight, Strategies, and Practical Considerations. AAPS PharmSciTech. 15(5). 1307–1323. 51 indexed citations

14.

Dhawan, Vivek, et al.. (2014). Bolaamphiphiles: A Pharmaceutical Review. SHILAP Revista de lepidopterología. 4(Suppl 2). 483–91. 28 indexed citations

15.

Jain, Ankitkumar S., Sanket Shah, Mangal S. Nagarsenker, et al.. (2013). Lipid Colloidal Carriers for Improvement of Anticancer Activity of Orally Delivered Quercetin: Formulation, Characterization and Establishing <I>In Vitro–In Vivo</I> Advantage. Journal of Biomedical Nanotechnology. 9(7). 1230–1240. 32 indexed citations

16.

Shah, Sanket, et al.. (2012). Synthesis, characterization, and in vitro evaluation of palmitoylated arabinogalactan with potential for liver targeting. Carbohydrate Research. 367. 41–47. 23 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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