Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry

5.2k indexed citations
published 2007

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Countries where authors are citing Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry

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This map shows the geographic impact of Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry. 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 Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry more than expected).

Fields of papers citing Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry.

About Identification of Essential Oil Components By Gas Chromatography/Mass Spectrometry

This paper, published in 2007, received 5.2k indexed citations . Written by Robert P. Adams covering the research area of Spectroscopy. It is primarily cited by scholars working on Food Science (3.4k citations), Plant Science (3.4k citations), Molecular Biology (1.4k citations), Insect Science (634 citations) and Biochemistry (514 citations).

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/w72725731.

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