This map shows the geographic impact of research published in Adipocyte. 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 Adipocyte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adipocyte more than expected).
This network shows the impact of papers published in Adipocyte. 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 Adipocyte.
About Adipocyte
The 540 papers published in Adipocyte in the last decades have received a total of 11.4k indexed citations . Papers published in Adipocyte usually cover Physiology (271 papers), Biochemistry (45 papers), Epidemiology (214 papers), Endocrine and Autonomic Systems (19 papers) and Genetics (28 papers) specifically the topics of Adipose Tissue and Metabolism (269 papers), Adipokines, Inflammation, and Metabolic Diseases (204 papers), Peroxisome Proliferator-Activated Receptors (52 papers), Lipid metabolism and biosynthesis (45 papers), Cardiovascular Disease and Adiposity (30 papers), Mesenchymal stem cell research (28 papers), Regulation of Appetite and Obesity (17 papers) and MicroRNA in disease regulation (13 papers). The most active scholars publishing in Adipocyte are Harold Erickson, Bing Y. Chen, Christian Wolfrum, Eva Degerman, Tae‐Hwa Chun, MARGARETA E. NYMAN, Emilia Heimann, Yu‐Hua Tseng, Kristy L. Townsend and Sean L. McGee.
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.