Drug Metabolism Reviews

1.3k papers and 66.5k indexed citations i.

About

The 1.3k papers published in Drug Metabolism Reviews in the last decades have received a total of 66.5k indexed citations. Papers published in Drug Metabolism Reviews usually cover Pharmacology (628 papers), Molecular Biology (435 papers) and Oncology (278 papers) specifically the topics of Pharmacogenetics and Drug Metabolism (581 papers), Drug Transport and Resistance Mechanisms (242 papers) and Mechanisms of Drug-Induced Hepatotoxicity (115 papers). The most active scholars publishing in Drug Metabolism Reviews are Slobodan Rendić, Donna D. Zhang, Frederick J. Di Carlo, Emily Shacter, Ulrich Klotz, Daniel M. Ziegler, Stephen S. Hecht, Edward T. Morgan, Sten Orrenius and Barbara S. Berlett.

In The Last Decade

Fields of papers published in Drug Metabolism Reviews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Drug Metabolism Reviews. 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 Drug Metabolism Reviews.

Countries where authors publish in Drug Metabolism Reviews

Since Specialization
Citations

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