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 577 papers published in Adipocyte in the last decades have received a total of 12.1k indexed citations . Papers published in Adipocyte usually cover Physiology (355 papers), Epidemiology (251 papers), Endocrine and Autonomic Systems (47 papers), Rehabilitation (36 papers) and Biochemistry (41 papers) specifically the topics of Adipose Tissue and Metabolism (338 papers), Adipokines, Inflammation, and Metabolic Diseases (234 papers), Cardiovascular Disease and Adiposity (75 papers), Regulation of Appetite and Obesity (42 papers), Lipid metabolism and biosynthesis (41 papers), Mesenchymal stem cell research (36 papers), Diet and metabolism studies (32 papers) and Exercise and Physiological Responses (31 papers). The most active scholars publishing in Adipocyte are Harold Erickson, Christian Wolfrum, Bing Chen, Tsuguhito Ota, Liang Xu, Victoria Catalán, Amaia Rodrı́guez, Gema Frühbeck, Javier Gómez‐Ambrosi and Tae‐Hwa Chun.
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.