Countries where authors publish in Endocrine Journal
Since Specialization
Citations
This map shows the geographic impact of research published in Endocrine Journal. 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 Endocrine Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endocrine Journal more than expected).
This network shows the impact of papers published in Endocrine Journal. 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 Endocrine Journal.
About Endocrine Journal
The 3.9k papers published in Endocrine Journal in the last decades have received a total of 71.8k indexed citations . Papers published in Endocrine Journal usually cover Endocrinology, Diabetes and Metabolism (2.1k papers), Endocrine and Autonomic Systems (214 papers), Reproductive Medicine (245 papers), Behavioral Neuroscience (84 papers) and Genetics (646 papers) specifically the topics of Growth Hormone and Insulin-like Growth Factors (565 papers), Pituitary Gland Disorders and Treatments (482 papers), Thyroid Disorders and Treatments (417 papers), Thyroid Cancer Diagnosis and Treatment (380 papers), Pancreatic function and diabetes (284 papers), Adrenal and Paraganglionic Tumors (251 papers), Metabolism, Diabetes, and Cancer (245 papers) and Hormonal Regulation and Hypertension (233 papers). The most active scholars publishing in Endocrine Journal are Akira Miyauchi, Yasuhiro Ito, Seong‐Su Moon, Hironobu Sasano, Kazue Takano, Toru Takano, Takeshi Usui, Akihiro Miya, Kozo Hashimoto and Yuji Taketani.
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.