Expert Opinion on Drug Delivery

2.1k papers and 94.3k indexed citations i.

About

The 2.1k papers published in Expert Opinion on Drug Delivery in the last decades have received a total of 94.3k indexed citations. Papers published in Expert Opinion on Drug Delivery usually cover Pharmaceutical Science (666 papers), Molecular Biology (621 papers) and Biomaterials (486 papers) specifically the topics of Advanced Drug Delivery Systems (457 papers), Nanoparticle-Based Drug Delivery (387 papers) and RNA Interference and Gene Delivery (343 papers). The most active scholars publishing in Expert Opinion on Drug Delivery are Weiyuan John Kao, Vladimir R. Muzykantov, Yao Fu, William M. Pardridge, Anisha D’Souza, Ranjita Shegokar, Mansoor M. Amiji, Darrell Sleep, Alfred Fahr and Xiangli Liu.

In The Last Decade

Fields of papers published in Expert Opinion on Drug Delivery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Expert Opinion on Drug Delivery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Expert Opinion on Drug Delivery.

Countries where authors publish in Expert Opinion on Drug Delivery

Since Specialization
Citations

This map shows the geographic impact of research published in Expert Opinion on Drug Delivery. 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 papers published in Expert Opinion on Drug Delivery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Expert Opinion on Drug Delivery more than expected).

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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2025