Endocrinology Diabetes and Metabolism Case Reports

862 papers and 4.4k indexed citations i.

About

The 862 papers published in Endocrinology Diabetes and Metabolism Case Reports in the last decades have received a total of 4.4k indexed citations. Papers published in Endocrinology Diabetes and Metabolism Case Reports usually cover Endocrinology, Diabetes and Metabolism (492 papers), Surgery (289 papers) and Molecular Biology (148 papers) specifically the topics of Pituitary Gland Disorders and Treatments (202 papers), Adrenal and Paraganglionic Tumors (124 papers) and Neuroendocrine Tumor Research Advances (105 papers). The most active scholars publishing in Endocrinology Diabetes and Metabolism Case Reports are Ashley Grossman, Claire Higham, P. Hulse, Prashanth Rawla, Jeffrey Pradeep Raj, Sathyajit S. Bandaru, Peter Trainer, Paul Lorigan, Anantha Vellipuram and Elizabeth George.

In The Last Decade

Fields of papers published in Endocrinology Diabetes and Metabolism Case Reports

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Endocrinology Diabetes and Metabolism Case Reports. 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 Endocrinology Diabetes and Metabolism Case Reports.

Countries where authors publish in Endocrinology Diabetes and Metabolism Case Reports

Since Specialization
Citations

This map shows the geographic impact of research published in Endocrinology Diabetes and Metabolism Case Reports. 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 Endocrinology Diabetes and Metabolism Case Reports with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endocrinology Diabetes and Metabolism Case Reports more than expected).

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.

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