Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents

457 indexed citations
published 1993

Countries where authors are citing Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents

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This map shows the geographic impact of Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents. 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 Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents more than expected).

Fields of papers citing Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents.

About Molecular recognition: hydrogen-bonding receptors that function in highly competitive solvents

This paper, published in 1993, received 457 indexed citations . Written by Erkang Fan, Scott A. Van Arman, Scott L. Kincaid and Andrew D. Hamilton covering the research area of Organic Chemistry, Electrochemistry and Physical and Theoretical Chemistry. It is primarily cited by scholars working on Spectroscopy (316 citations), Organic Chemistry (180 citations) and Materials Chemistry (177 citations). Published in Journal of the American Chemical Society.

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/ja00054a066.

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