Frontiers in Pharmacology

23.4k papers and 416.1k indexed citations i.

About

The 23.4k papers published in Frontiers in Pharmacology in the last decades have received a total of 416.1k indexed citations. Papers published in Frontiers in Pharmacology usually cover Molecular Biology (8.9k papers), Oncology (2.6k papers) and Pharmacology (2.5k papers) specifically the topics of Pharmacological Effects of Natural Compounds (920 papers), Computational Drug Discovery Methods (681 papers) and Neuroscience and Neuropharmacology Research (656 papers). The most active scholars publishing in Frontiers in Pharmacology are Martins Ekor, Susan Hua, Sigrid A. Langhans, Miquéias Lopes‐Pacheco, Sherry Y. Wu, Majambu Mbikay, Ryan T. Kendall, Salvatore Salomone, Michael Heinrich and Geoffrey Burnstock.

In The Last Decade

Fields of papers published in Frontiers in Pharmacology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Frontiers in Pharmacology

Since Specialization
Citations

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