Amino Acids

4.7k papers and 142.9k indexed citations i.

About

The 4.7k papers published in Amino Acids in the last decades have received a total of 142.9k indexed citations. Papers published in Amino Acids usually cover Molecular Biology (2.5k papers), Physiology (798 papers) and Cell Biology (767 papers) specifically the topics of Amino Acid Enzymes and Metabolism (509 papers), Chemical Synthesis and Analysis (386 papers) and Polyamine Metabolism and Applications (370 papers). The most active scholars publishing in Amino Acids are Guoyao Wu, Rodney L. Levine, Earl R. Stadtman, Christian Hermans, Nathalie Verbruggen, Yulong Yin, Hideo Kimura, P. Kamoun, Roger C. Harris and Zhaolai Dai.

In The Last Decade

Fields of papers published in Amino Acids

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Amino Acids. 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 Amino Acids.

Countries where authors publish in Amino Acids

Since Specialization
Citations

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