Countries where authors publish in Endocrine Pathology
Since Specialization
Citations
This map shows the geographic impact of research published in Endocrine Pathology. 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 Pathology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endocrine Pathology more than expected).
This network shows the impact of papers published in Endocrine Pathology. 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 Pathology.
About Endocrine Pathology
The 1.4k papers published in Endocrine Pathology in the last decades have received a total of 25.8k indexed citations . Papers published in Endocrine Pathology usually cover Endocrinology, Diabetes and Metabolism (767 papers), Neurology (221 papers), Oncology (333 papers), Cancer Research (161 papers) and Surgery (431 papers) specifically the topics of Thyroid Cancer Diagnosis and Treatment (396 papers), Pituitary Gland Disorders and Treatments (304 papers), Neuroendocrine Tumor Research Advances (296 papers), Adrenal and Paraganglionic Tumors (203 papers), Neuroblastoma Research and Treatments (173 papers), Cancer, Hypoxia, and Metabolism (135 papers), Lung Cancer Research Studies (98 papers) and Head and Neck Anomalies (95 papers). The most active scholars publishing in Endocrine Pathology are Yuri E. Nikiforov, Özgür Mete, L. Sylvia, Ricardo V. Lloyd, Virginia A. LiVolsi, Alfred K. Lam, Mauro Papotti, Zubair Baloch, Kálmán Kovács and Stefano La Rosa.
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.