Sonia Pandey

50 total papers · 1.1k total citations
40 papers, 863 citations indexed

About

Sonia Pandey is a scholar working on Pharmaceutical Science, Molecular Biology and Dermatology. According to data from OpenAlex, Sonia Pandey has authored 40 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pharmaceutical Science, 10 papers in Molecular Biology and 6 papers in Dermatology. Recurrent topics in Sonia Pandey's work include Drug Solubulity and Delivery Systems (13 papers), Advanced Drug Delivery Systems (11 papers) and Advancements in Transdermal Drug Delivery (11 papers). Sonia Pandey is often cited by papers focused on Drug Solubulity and Delivery Systems (13 papers), Advanced Drug Delivery Systems (11 papers) and Advancements in Transdermal Drug Delivery (11 papers). Sonia Pandey collaborates with scholars based in India and United States. Sonia Pandey's co-authors include Purnima Tripathi, Arti Gupta, Rishikesh Gupta, Peeyush Bhardwaj, Furqan A. Maulvi, Hetal Patel, Shrikant Joshi, Dinesh O. Shah, Dinesh Shah and Ditixa T. Desai and has published in prestigious journals such as International Journal of Pharmaceutics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Colloids and Surfaces B Biointerfaces.

In The Last Decade

Sonia Pandey

37 papers receiving 821 citations

Hit Papers

Niosomes: A review on nio... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sonia Pandey 487 196 119 106 97 40 863
Dalia S. Shaker 531 1.1× 176 0.9× 155 1.3× 143 1.3× 77 0.8× 34 957
Brice Moulari 346 0.7× 178 0.9× 195 1.6× 113 1.1× 67 0.7× 32 914
Vivek Ghate 532 1.1× 239 1.2× 152 1.3× 150 1.4× 65 0.7× 39 1.0k
Norazlinaliza Salim 362 0.7× 148 0.8× 155 1.3× 115 1.1× 78 0.8× 40 837
Punit P. Shah 491 1.0× 136 0.7× 77 0.6× 186 1.8× 73 0.8× 26 819
R. K. Khar 706 1.4× 181 0.9× 118 1.0× 70 0.7× 47 0.5× 45 1.0k
Jyotsana Madan 483 1.0× 162 0.8× 78 0.7× 75 0.7× 46 0.5× 44 870
Mohamed M. Badran 563 1.2× 255 1.3× 247 2.1× 161 1.5× 62 0.6× 37 1.0k
P K Lakshmi 418 0.9× 199 1.0× 65 0.5× 92 0.9× 103 1.1× 43 852
Lyda Halbaut 555 1.1× 175 0.9× 136 1.1× 125 1.2× 33 0.3× 51 1.0k

Countries citing papers authored by Sonia Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Pandey

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

All Works

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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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