Biochemical Pharmacology

29.5k papers and 968.7k indexed citations i.

About

The 29.5k papers published in Biochemical Pharmacology in the last decades have received a total of 968.7k indexed citations. Papers published in Biochemical Pharmacology usually cover Molecular Biology (15.5k papers), Oncology (4.7k papers) and Pharmacology (4.0k papers) specifically the topics of Pharmacogenetics and Drug Metabolism (3.1k papers), Drug Transport and Resistance Mechanisms (2.6k papers) and Receptor Mechanisms and Signaling (2.0k papers). The most active scholars publishing in Biochemical Pharmacology are William H. Prusoff, Yung-Chi Cheng, George L. Ellman, Robert M. Featherstone, K. Diane Courtney, Bharat B. Aggarwal, Erik De Clercq, Karl Walter Bock, Barry Halliwell and Jeffrey P. Johnston.

In The Last Decade

Fields of papers published in Biochemical Pharmacology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Biochemical Pharmacology. 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 Biochemical Pharmacology.

Countries where authors publish in Biochemical Pharmacology

Since Specialization
Citations

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