Countries where authors publish in Journal of Muscle Foods
Since Specialization
Citations
This map shows the geographic impact of research published in Journal of Muscle Foods. 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 Muscle Foods 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 Muscle Foods more than expected).
Fields of papers published in Journal of Muscle Foods
This network shows the impact of papers published in Journal of Muscle Foods. 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 Muscle Foods.
About Journal of Muscle Foods
The 592 papers published in Journal of Muscle Foods in the last decades have received a total of 9.9k indexed citations . Papers published in Journal of Muscle Foods usually cover Animal Science and Zoology (549 papers), Food Science (189 papers), Small Animals (43 papers), Aquatic Science (37 papers) and Insect Science (52 papers) specifically the topics of Meat and Animal Product Quality (537 papers), Animal Nutrition and Physiology (241 papers), Protein Hydrolysis and Bioactive Peptides (70 papers), Advanced Chemical Sensor Technologies (63 papers), Sensory Analysis and Statistical Methods (55 papers), Muscle metabolism and nutrition (44 papers), Animal Behavior and Welfare Studies (41 papers) and Pharmacological Effects and Assays (37 papers). The most active scholars publishing in Journal of Muscle Foods are C. Faustman, R. G. Cassens, Shai Barbut, A. Ouali, M.S. BREWER, F. K. McKeith, Curtis L. Kastner, Gabriel Monin, Matia B. Solomon and J. Claus.
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.