Ankit Parikh

1.4k citations
42 papers · 990 indexed · h-index 21

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Curcumin's Biomedical Applications

Papers in

Ankit Parikh

41 papers receiving 964 citations

Peers

Ankit Parikh
Comparison fields: 5 of 115
  • Pharmaceutical Science 189
  • Molecular Medicine 111
  • Biomaterials 164
  • Polymers and Plastics 129
  • Rehabilitation 40
Replace Jonathan J. Magaña with:
Jonathan J. Magaña Mexico
Nannan Gao China
Pengfei Yue China
Isaac H. Caballero‐Florán Mexico
Néstor Mendoza‐Muñoz Mexico
Gábor Katona Hungary
Marí­a Luisa Del Prado-Audelo Mexico
Kampanart Huanbutta Thailand
Sankha Bhattacharya India
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Citations per field
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Citations per year

Countries citing papers authored by Ankit Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankit Parikh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ankit Parikh Line = papers co-authored together Ankit Parikh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 202268
3 201853
4 202048
5 201945
6 201841
7 202041
8 201838
9 201837
10 201637
11 201436
12
Intranasal drug delivery system- A glimpse to become maestro
201136
13 202232
14 201531
15 201730
16 201828
17 201824
18 201423
19 201923
20 201822

About Ankit Parikh

Ankit Parikh is a scholar working on Pharmaceutical Science, Polymers and Plastics, Molecular Medicine, Biomedical Engineering and Organic Chemistry, having authored 42 papers that have together received 990 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (7 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Drug Solubulity and Delivery Systems (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Curcumin's Biomedical Applications (4 papers), Alzheimer's disease research and treatments (3 papers), Conducting polymers and applications (3 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Pharmaceutical Science (189 citations), Molecular Medicine (111 citations), Biomaterials (164 citations), Polymers and Plastics (129 citations) and Rehabilitation (40 citations). Ankit Parikh has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Sanjay Garg, Yunmei Song, Xin‐Fu Zhou, Franklin Afinjuomo, Thomas G. Barclay, Jiacheng Huang, Ankur Jain, Majid Minary‐Jolandan, Walter Voit and Nikolai Petrovsky. Their work appears in journals such as Pharmaceutics, Drug Design Development and Therapy, Journal of Pharmaceutical Sciences, Drug Delivery and Translational Research and Journal of Biomechanics.

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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