Countries where authors publish in Physiological Genomics
Since Specialization
Citations
This map shows the geographic impact of research published in Physiological Genomics. 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 Physiological Genomics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Physiological Genomics more than expected).
Fields of papers published in Physiological Genomics
This network shows the impact of papers published in Physiological Genomics. 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 Physiological Genomics.
About Physiological Genomics
The 2.5k papers published in Physiological Genomics in the last decades have received a total of 99.9k indexed citations . Papers published in Physiological Genomics usually cover Genetics (528 papers), Endocrine and Autonomic Systems (94 papers), Cardiology and Cardiovascular Medicine (346 papers), Molecular Biology (810 papers) and Aging (20 papers) specifically the topics of Genetic Associations and Epidemiology (148 papers), Genetic Mapping and Diversity in Plants and Animals (131 papers), Muscle Physiology and Disorders (122 papers), Renin-Angiotensin System Studies (114 papers), Genetic and phenotypic traits in livestock (108 papers), Blood Pressure and Hypertension Studies (86 papers), Genetics and Physical Performance (79 papers) and Gene expression and cancer classification (74 papers). The most active scholars publishing in Physiological Genomics are Mingyu Liang, Massimo Bionaz, Isaac Edery, Robin L. Davisson, Juan J. Loor, Lauren G. Koch, Steven L. Britton, Qin M. Chen, Bina Joe and Anthony J. Maltagliati.
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.