RA Feelders

8 papers and 361 indexed citations i.

About

RA Feelders is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, RA Feelders has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 2 papers in Cancer Research. Recurrent topics in RA Feelders’s work include Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (5 papers) and Cancer, Hypoxia, and Metabolism (2 papers). RA Feelders is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (5 papers) and Cancer, Hypoxia, and Metabolism (2 papers). RA Feelders collaborates with scholars based in The Netherlands, Italy and United States. RA Feelders's co-authors include J. A. M. J. L. Janssen, WW de Herder, AJ van der Lely, J Feenstra, Wouter W. de Herder, Sebastian Neggers, A. J. van der Lely, Leo J. Hofland, Ginette Gunz and Marily Theodoropoulou and has published in prestigious journals such as The Lancet, European Journal of Endocrinology and Endocrine Related Cancer.

In The Last Decade

Co-authorship network of co-authors of RA Feelders i

Fields of papers citing papers by RA Feelders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by RA Feelders. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by RA Feelders. The network helps show where RA Feelders may publish in the future.

Countries citing papers authored by RA Feelders

Since Specialization
Citations

This map shows the geographic impact of RA Feelders's 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 RA Feelders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RA Feelders 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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2025