Letters in Drug Design & Discovery

2.2k papers and 13.2k indexed citations i.

About

The 2.2k papers published in Letters in Drug Design & Discovery in the last decades have received a total of 13.2k indexed citations. Papers published in Letters in Drug Design & Discovery usually cover Organic Chemistry (1.2k papers), Molecular Biology (733 papers) and Computational Theory and Mathematics (366 papers) specifically the topics of Synthesis and biological activity (793 papers), Synthesis and Characterization of Heterocyclic Compounds (405 papers) and Computational Drug Discovery Methods (366 papers). The most active scholars publishing in Letters in Drug Design & Discovery are Xing‐Hai Liu, M. Iqbal Choudhary, David C. Swinney, Ahmet Özdemır, Mehlika Dilek Altıntop, Khalid Mohammed Khan, Jian‐Quan Weng, Cheng‐Xia Tan, Matthias Tacke and Gary Gellerman.

In The Last Decade

Fields of papers published in Letters in Drug Design & Discovery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Letters in Drug Design & Discovery. 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 Letters in Drug Design & Discovery.

Countries where authors publish in Letters in Drug Design & Discovery

Since Specialization
Citations

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