SLAS DISCOVERY

2.5k papers and 59.7k indexed citations

About

The 2.5k papers published in SLAS DISCOVERY in the last decades have received a total of 59.7k indexed citations. Papers published in SLAS DISCOVERY usually cover Molecular Biology (1.7k papers), Oncology (342 papers) and Computational Theory and Mathematics (295 papers) specifically the topics of Computational Drug Discovery Methods (295 papers), Receptor Mechanisms and Signaling (247 papers) and Monoclonal and Polyclonal Antibodies Research (217 papers). The most active scholars publishing in SLAS DISCOVERY are Kevin R. Oldenburg, Thomas D.Y. Chung, Ji-Hu Zhang, Richard M. Eglen, Fang Ye, Xiaohua Douglas Zhang, John Strelow, John C. Owicki, Manfred Kubbies and Eric Chatelain.

In The Last Decade

SLAS DISCOVERY

2.4k papers receiving 57.2k citations

Countries where authors publish in SLAS DISCOVERY

Since Specialization
Citations

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

Fields of papers published in SLAS DISCOVERY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in SLAS DISCOVERY. 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 SLAS DISCOVERY.

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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2026