Drug Metabolism and Personalized Therapy

281 papers and 1.7k indexed citations i.

About

The 281 papers published in Drug Metabolism and Personalized Therapy in the last decades have received a total of 1.7k indexed citations. Papers published in Drug Metabolism and Personalized Therapy usually cover Pharmacology (82 papers), Molecular Biology (55 papers) and Oncology (53 papers) specifically the topics of Pharmacogenetics and Drug Metabolism (71 papers), Drug Transport and Resistance Mechanisms (38 papers) and Pharmacological Effects and Toxicity Studies (17 papers). The most active scholars publishing in Drug Metabolism and Personalized Therapy are Mehran Alavi, Mehrdad Hamidi, Adrián LLerena, Ann K. Daly, Ingrid Fricke-Galindo, Marisol López, Prasad Neerati, Prasanth S. Ariyannur, Joseph Boni and Richat Abbas.

In The Last Decade

Fields of papers published in Drug Metabolism and Personalized Therapy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Drug Metabolism and Personalized Therapy

Since Specialization
Citations

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