Chemical Biology & Drug Design

3.0k papers and 53.4k indexed citations i.

About

The 3.0k papers published in Chemical Biology & Drug Design in the last decades have received a total of 53.4k indexed citations. Papers published in Chemical Biology & Drug Design usually cover Molecular Biology (1.7k papers), Organic Chemistry (865 papers) and Computational Theory and Mathematics (475 papers) specifically the topics of Computational Drug Discovery Methods (475 papers), Synthesis and biological activity (376 papers) and Synthesis and Biological Evaluation (193 papers). The most active scholars publishing in Chemical Biology & Drug Design are Ricardo L. Mancera, Neha S. Gandhi, David P. Fairlie, David J. Craik, Spiros Liras, David A. Price, Ehud Gazit, Yair Porat, Woody Sherman and Jason E. Gestwicki.

In The Last Decade

Fields of papers published in Chemical Biology & Drug Design

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Chemical Biology & Drug Design. 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 Chemical Biology & Drug Design.

Countries where authors publish in Chemical Biology & Drug Design

Since Specialization
Citations

This map shows the geographic impact of research published in Chemical Biology & Drug Design. 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 Chemical Biology & Drug Design with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chemical Biology & Drug Design 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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2025