Growth Hormone & IGF Research

1.5k papers and 28.2k indexed citations i.

About

The 1.5k papers published in Growth Hormone & IGF Research in the last decades have received a total of 28.2k indexed citations. Papers published in Growth Hormone & IGF Research usually cover Endocrinology, Diabetes and Metabolism (1.2k papers), Molecular Biology (493 papers) and Genetics (284 papers) specifically the topics of Growth Hormone and Insulin-like Growth Factors (1.2k papers), Pituitary Gland Disorders and Treatments (244 papers) and Metabolism, Diabetes, and Cancer (210 papers). The most active scholars publishing in Growth Hormone & IGF Research are Jan Frystyk, Anders Juul, Cheryl A. Conover, Pamela U. Freda, Pinchas Cohen, John J. Kopchick, Zvi Laron, Lois E. H. Smith, Naoki Hattori and Michael J. Waters.

In The Last Decade

Fields of papers published in Growth Hormone & IGF Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Growth Hormone & IGF Research. 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 Growth Hormone & IGF Research.

Countries where authors publish in Growth Hormone & IGF Research

Since Specialization
Citations

This map shows the geographic impact of research published in Growth Hormone & IGF Research. 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 Growth Hormone & IGF Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Growth Hormone & IGF Research 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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