Endocrine Related Cancer

2.4k papers and 107.6k indexed citations i.

About

The 2.4k papers published in Endocrine Related Cancer in the last decades have received a total of 107.6k indexed citations. Papers published in Endocrine Related Cancer usually cover Oncology (897 papers), Molecular Biology (869 papers) and Endocrinology, Diabetes and Metabolism (733 papers) specifically the topics of Neuroendocrine Tumor Research Advances (387 papers), Estrogen and related hormone effects (369 papers) and Thyroid Cancer Diagnosis and Treatment (343 papers). The most active scholars publishing in Endocrine Related Cancer are Mingzhao Xing, Mitch Dowsett, Anton Wellstein, Sandra W. McLeskey, Marc Lacroix, Paul M. Harari, Ashley Grossman, A. E. Wakeling, John Mendelsohn and Wouter W. de Herder.

In The Last Decade

Fields of papers published in Endocrine Related Cancer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Endocrine Related Cancer. 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 Related Cancer.

Countries where authors publish in Endocrine Related Cancer

Since Specialization
Citations

This map shows the geographic impact of research published in Endocrine Related Cancer. 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 Related Cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endocrine Related Cancer 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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