Simple Selection Criteria for Drug-like Chemical Matter

924 indexed citations

Abstract

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About

This paper, published in 2001, received 924 indexed citations. Written by Ingo Muegge, Sarah L. Heald and David R. Brittelli covering the research area of Environmental Chemistry, Computational Theory and Mathematics and Spectroscopy. It is primarily cited by scholars working on Organic Chemistry (434 citations), Computational Theory and Mathematics (407 citations) and Molecular Biology (363 citations). Published in Journal of Medicinal Chemistry.

Countries where authors are citing Simple Selection Criteria for Drug-like Chemical Matter

Specialization
Citations

This map shows the geographic impact of Simple Selection Criteria for Drug-like Chemical Matter. 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 Simple Selection Criteria for Drug-like Chemical Matter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simple Selection Criteria for Drug-like Chemical Matter more than expected).

Fields of papers citing Simple Selection Criteria for Drug-like Chemical Matter

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Simple Selection Criteria for Drug-like Chemical Matter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Simple Selection Criteria for Drug-like Chemical Matter.

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.

This paper is also available at doi.org/10.1021/jm015507e.

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