Drug Metabolism Letters

380 papers and 4.0k indexed citations i.

About

The 380 papers published in Drug Metabolism Letters in the last decades have received a total of 4.0k indexed citations. Papers published in Drug Metabolism Letters usually cover Pharmacology (159 papers), Molecular Biology (101 papers) and Oncology (72 papers) specifically the topics of Pharmacogenetics and Drug Metabolism (143 papers), Drug Transport and Resistance Mechanisms (49 papers) and Computational Drug Discovery Methods (45 papers). The most active scholars publishing in Drug Metabolism Letters are Zhiyang Zhao, Loren Berry, Elena K. Schneider‐Futschik, Lance Wollenberg, Yan Chang, David E. Moody, Samantha J. Richardson, Ashutosh A. Kulkarni, Mehran F. Moghaddam and Saeed Alghamdi.

In The Last Decade

Fields of papers published in Drug Metabolism Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Drug Metabolism Letters

Since Specialization
Citations

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