Tetrahedron Asymmetry

10.4k papers and 222.9k indexed citations i.

About

The 10.4k papers published in Tetrahedron Asymmetry in the last decades have received a total of 222.9k indexed citations. Papers published in Tetrahedron Asymmetry usually cover Organic Chemistry (8.1k papers), Molecular Biology (4.4k papers) and Spectroscopy (2.5k papers) specifically the topics of Asymmetric Synthesis and Catalysis (4.1k papers), Chemical Synthesis and Analysis (2.0k papers) and Synthetic Organic Chemistry Methods (2.0k papers). The most active scholars publishing in Tetrahedron Asymmetry are Carlos Cativiela, Carmén Nájera, Stephen G. Davies, Marı́a D. Dı́az-de-Villegas, Miguel Yus, Oleg I. Kolodiazhnyi, Diego J. Ramón, George W. J. Fleet, Martin Wills and Gabriela Guillena.

In The Last Decade

Fields of papers published in Tetrahedron Asymmetry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Tetrahedron Asymmetry. 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 Tetrahedron Asymmetry.

Countries where authors publish in Tetrahedron Asymmetry

Since Specialization
Citations

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