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).
Fields of papers published in Journal of Personalized Medicine
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.
About Journal of Personalized Medicine
The 6.8k papers published in Journal of Personalized Medicine in the last decades have received a total of 61.9k indexed citations . Papers published in Journal of Personalized Medicine usually cover Health Informatics (65 papers), Otorhinolaryngology (141 papers), Biological Psychiatry (76 papers), Surgery (1.3k papers) and Cancer Research (421 papers) specifically the topics of Cancer Genomics and Diagnostics (177 papers), Pharmacogenetics and Drug Metabolism (150 papers), Radiomics and Machine Learning in Medical Imaging (129 papers), BRCA gene mutations in cancer (125 papers), COVID-19 Clinical Research Studies (123 papers), Genomics and Rare Diseases (109 papers), Long-Term Effects of COVID-19 (108 papers) and Asthma and respiratory diseases (102 papers). The most active scholars publishing in Journal of Personalized Medicine are Jun Wu, Melanie Swan, И. Н. Григорьева, Peng Zhang, Maged N. Kamel Boulos, Mukesh Verma, Richard E. Frye, Hiroshi Maeda, David R. Gater and Francine Durocher.
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.