CPT Pharmacometrics & Systems Pharmacology

1.3k papers and 21.1k indexed citations i.

About

The 1.3k papers published in CPT Pharmacometrics & Systems Pharmacology in the last decades have received a total of 21.1k indexed citations. Papers published in CPT Pharmacometrics & Systems Pharmacology usually cover Molecular Biology (304 papers), Oncology (266 papers) and Statistics and Probability (258 papers) specifically the topics of Statistical Methods in Clinical Trials (252 papers), Pharmacogenetics and Drug Metabolism (202 papers) and Computational Drug Discovery Methods (155 papers). The most active scholars publishing in CPT Pharmacometrics & Systems Pharmacology are Richard N. Upton, DR Mould, Kaori Ito, Daniel J. Murphy, Bernd Meibohm, Josiah Ryman, MO Karlsson, K Rowland‐Yeo, Andrew C. Hooker and Robert J. Bauer.

In The Last Decade

Fields of papers published in CPT Pharmacometrics & Systems Pharmacology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in CPT Pharmacometrics & Systems 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 CPT Pharmacometrics & Systems Pharmacology.

Countries where authors publish in CPT Pharmacometrics & Systems Pharmacology

Since Specialization
Citations

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