Drug Testing and Analysis

2.4k papers and 39.1k indexed citations

About

The 2.4k papers published in Drug Testing and Analysis in the last decades have received a total of 39.1k indexed citations. Papers published in Drug Testing and Analysis usually cover Toxicology (855 papers), Endocrinology, Diabetes and Metabolism (692 papers) and Pharmacology (527 papers) specifically the topics of Forensic Toxicology and Drug Analysis (852 papers), Hormonal and reproductive studies (653 papers) and Psychedelics and Drug Studies (301 papers). The most active scholars publishing in Drug Testing and Analysis are Mario Thevis, Wilhelm Schänzer, Hans Geyer, John Kelly, Andreas Thomas, Simon D. Brandt, Volker Auwärter, Tiia Kuuranne, Simon Elliott and Kristían Línnet.

In The Last Decade

Drug Testing and Analysis

2.3k papers receiving 37.3k citations

Countries where authors publish in Drug Testing and Analysis

Since Specialization
Citations

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

Fields of papers published in Drug Testing and Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Drug Testing and Analysis. 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 Drug Testing and Analysis.

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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