Drugs in R&D

935 papers and 13.4k indexed citations i.

About

The 935 papers published in Drugs in R&D in the last decades have received a total of 13.4k indexed citations. Papers published in Drugs in R&D usually cover Molecular Biology (141 papers), Oncology (119 papers) and Pharmacology (116 papers) specifically the topics of Pharmaceutical studies and practices (46 papers), Antibiotics Pharmacokinetics and Efficacy (42 papers) and Pharmacological Effects and Toxicity Studies (38 papers). The most active scholars publishing in Drugs in R&D are David S. Wishart, Jürgen Frevert, Christine Röder, Melanie J. Thomson, Beniamino Palmieri, Tommaso Iannitti, Daoming Qiu, Peter N. Kao, Adrian L. Lopresti and Christine Leong.

In The Last Decade

Fields of papers published in Drugs in R&D

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Drugs in R&D. 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 Drugs in R&D.

Countries where authors publish in Drugs in R&D

Since Specialization
Citations

This map shows the geographic impact of research published in Drugs in R&D. 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 Drugs in R&D with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drugs in R&D 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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