Countries where authors publish in Fish physiology
Since Specialization
Citations
This map shows the geographic impact of research published in Fish physiology. 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 Fish physiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fish physiology more than expected).
This network shows the impact of papers published in Fish physiology. 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 Fish physiology.
About Fish physiology
The 459 papers published in Fish physiology in the last decades have received a total of 36.5k indexed citations . Papers published in Fish physiology usually cover Aquatic Science (186 papers), Physiology (73 papers), Nature and Landscape Conservation (164 papers), Ecology (228 papers) and Endocrine and Autonomic Systems (20 papers) specifically the topics of Physiological and biochemical adaptations (201 papers), Aquaculture Nutrition and Growth (164 papers), Fish Ecology and Management Studies (112 papers), Reproductive biology and impacts on aquatic species (72 papers), Aquaculture disease management and microbiota (57 papers), Fish biology, ecology, and behavior (55 papers), Ichthyology and Marine Biology (47 papers) and Environmental Toxicology and Ecotoxicology (33 papers). The most active scholars publishing in Fish physiology are J. R. Brett, F. E. J. Fry, W. E. Ricker, T. D. D. Groves, David Randall, C. C. Lindsey, J. H. S. Blaxter, William S. Hoar, Yoshitaka Nagahama and Edward M. Donaldson.
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.