Journal of Personalized Medicine

6.2k papers and 43.4k indexed citations i.

About

The 6.2k papers published in Journal of Personalized Medicine in the last decades have received a total of 43.4k indexed citations. Papers published in Journal of Personalized Medicine usually cover Surgery (1.3k papers), Pulmonary and Respiratory Medicine (923 papers) and Molecular Biology (829 papers) specifically the topics of Cancer Genomics and Diagnostics (179 papers), Pharmacogenetics and Drug Metabolism (141 papers) and Radiomics and Machine Learning in Medical Imaging (138 papers). The most active scholars publishing in Journal of Personalized Medicine are Jun Wu, Melanie Swan, Mukesh Verma, Maged N. Kamel Boulos, Peng Zhang, Hiroshi Maeda, Toshifumi Yokota, Lynnette Nathalie Lyzwinski, Richard E. Frye and Susanne B. Haga.

In The Last Decade

Fields of papers published in Journal of Personalized Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Personalized Medicine. 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 Journal of Personalized Medicine.

Countries where authors publish in Journal of Personalized Medicine

Since Specialization
Citations

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