Disease Models & Mechanisms

2.1k papers and 67.9k indexed citations i.

About

The 2.1k papers published in Disease Models & Mechanisms in the last decades have received a total of 67.9k indexed citations. Papers published in Disease Models & Mechanisms usually cover Molecular Biology (1.1k papers), Genetics (318 papers) and Cell Biology (303 papers) specifically the topics of Muscle Physiology and Disorders (118 papers), Zebrafish Biomedical Research Applications (111 papers) and Mitochondrial Function and Pathology (105 papers). The most active scholars publishing in Disease Models & Mechanisms are Paul L. Huang, Janine T. Erler, Thomas R. Cox, Paolo Bonaldo, Marco Sandri, Jean E. Vance, Tracey A. Rouault, Katharina Timper, Jens C. Brüning and Saverio Cinti.

In The Last Decade

Fields of papers published in Disease Models & Mechanisms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Disease Models & Mechanisms. 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 Disease Models & Mechanisms.

Countries where authors publish in Disease Models & Mechanisms

Since Specialization
Citations

This map shows the geographic impact of research published in Disease Models & Mechanisms. 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 Disease Models & Mechanisms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Disease Models & Mechanisms 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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2025