Drug Metabolism and Pharmacokinetics

1.5k papers and 29.9k indexed citations i.

About

The 1.5k papers published in Drug Metabolism and Pharmacokinetics in the last decades have received a total of 29.9k indexed citations. Papers published in Drug Metabolism and Pharmacokinetics usually cover Pharmacology (602 papers), Oncology (593 papers) and Molecular Biology (432 papers) specifically the topics of Pharmacogenetics and Drug Metabolism (542 papers), Drug Transport and Resistance Mechanisms (540 papers) and Pharmacological Effects and Toxicity Studies (179 papers). The most active scholars publishing in Drug Metabolism and Pharmacokinetics are Tsutomu Shimada, Shinsaku Naito, Masuhiro Nishimura, Ger J. Vusse, Yuichi Sugiyama, Teruko Imai, Tsuyoshi Yokoi, Stephen Curry, Kazuhide Iwasaki and F. Peter Guengerich.

In The Last Decade

Fields of papers published in Drug Metabolism and Pharmacokinetics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Drug Metabolism and Pharmacokinetics

Since Specialization
Citations

This map shows the geographic impact of research published in Drug Metabolism and Pharmacokinetics. 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 and Pharmacokinetics 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 and Pharmacokinetics 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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