ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure

698 indexed citations
published 2004
Authors
John Delaney
Journal
Journal of Chemical Information and Computer Sciences

Countries where authors are citing ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure

Specialization
Citations

This map shows the geographic impact of ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure. 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 ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure more than expected).

Fields of papers citing ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure.

About ESOL:  Estimating Aqueous Solubility Directly from Molecular Structure

This paper, published in 2004, received 698 indexed citations . Written by John Delaney covering the research area of Materials Chemistry, Computational Theory and Mathematics and Spectroscopy. It is primarily cited by scholars working on Computational Theory and Mathematics (401 citations), Molecular Biology (260 citations) and Materials Chemistry (238 citations). Published in Journal of Chemical Information and Computer Sciences.

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/ci034243x.

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