Hormone Research in Paediatrics

3.4k papers and 84.1k indexed citations i.

About

The 3.4k papers published in Hormone Research in Paediatrics in the last decades have received a total of 84.1k indexed citations. Papers published in Hormone Research in Paediatrics usually cover Endocrinology, Diabetes and Metabolism (1.8k papers), Molecular Biology (1.1k papers) and Genetics (875 papers) specifically the topics of Growth Hormone and Insulin-like Growth Factors (948 papers), Sexual Differentiation and Disorders (522 papers) and Birth, Development, and Health (342 papers). The most active scholars publishing in Hormone Research in Paediatrics are Anshu Gupta, Jaime Uribarri, Svend G. Johnsen, Seung Jin Han, Yong Jun Choi, Dae Jung Kim, Sun Young Park, Hae Jin Kim, Kwan Woo Lee and Silva Arslanian.

In The Last Decade

Fields of papers published in Hormone Research in Paediatrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Hormone Research in Paediatrics. 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 Hormone Research in Paediatrics.

Countries where authors publish in Hormone Research in Paediatrics

Since Specialization
Citations

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