Neuro-endocrinology letters

215 papers and 973 indexed citations i.

About

The 215 papers published in Neuro-endocrinology letters in the last decades have received a total of 973 indexed citations. Papers published in Neuro-endocrinology letters usually cover Endocrinology, Diabetes and Metabolism (45 papers), Physiology (27 papers) and Surgery (23 papers) specifically the topics of Growth Hormone and Insulin-like Growth Factors (16 papers), Pituitary Gland Disorders and Treatments (15 papers) and Stress Responses and Cortisol (15 papers). The most active scholars publishing in Neuro-endocrinology letters are Helmuth Nyborg, Khavinson VKh, Jan W. Raczkowski, Kristina Melkersson, Marek Pawlikowski, Vincent Geenen, Jean‐Jacques Legros, M Srámka, A. Rodríguez and Jiří Masopust.

In The Last Decade

Fields of papers published in Neuro-endocrinology letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Neuro-endocrinology letters. 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 Neuro-endocrinology letters.

Countries where authors publish in Neuro-endocrinology letters

Since Specialization
Citations

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