Drug Discovery Today Disease Models

433 papers and 4.8k indexed citations i.

About

The 433 papers published in Drug Discovery Today Disease Models in the last decades have received a total of 4.8k indexed citations. Papers published in Drug Discovery Today Disease Models usually cover Molecular Biology (162 papers), Physiology (60 papers) and Pulmonary and Respiratory Medicine (52 papers) specifically the topics of Receptor Mechanisms and Signaling (28 papers), Asthma and respiratory diseases (21 papers) and Cardiac electrophysiology and arrhythmias (18 papers). The most active scholars publishing in Drug Discovery Today Disease Models are Jan M. Deussing, Agnes B. Fogo, Haichun Yang, Yiqin Zuo, George F. Koob, Herbert H. Lipowsky, Bernard W. Balleine, Sean B. Ostlund, Donatella Donati and Rebeca Rico-Hesse.

In The Last Decade

Fields of papers published in Drug Discovery Today Disease Models

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Drug Discovery Today Disease Models. 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 Discovery Today Disease Models.

Countries where authors publish in Drug Discovery Today Disease Models

Since Specialization
Citations

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