RA Feelders

500 total citations
9 papers, 383 citations indexed

About

RA Feelders is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, RA Feelders has authored 9 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 2 papers in Neurology. Recurrent topics in RA Feelders's work include Pituitary Gland Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (6 papers) and Hormonal Regulation and Hypertension (3 papers). RA Feelders is often cited by papers focused on Pituitary Gland Disorders and Treatments (7 papers), Adrenal and Paraganglionic Tumors (6 papers) and Hormonal Regulation and Hypertension (3 papers). RA Feelders collaborates with scholars based in Netherlands, Italy and Germany. RA Feelders's co-authors include J. A. M. J. L. Janssen, WW de Herder, J Feenstra, AJ van der Lely, Wouter W. de Herder, Sebastian Neggers, A. J. van der Lely, Leo J. Hofland, Peter M. van Koetsveld 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

RA Feelders

8 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
RA Feelders Netherlands	4	339	173	102	45	35	9	383
Laurent Vroonen Belgium	9	329 1.0×	223 1.3×	56 0.5×	58 1.3×	54 1.5×	21	394
U Schoenherr Switzerland	3	400 1.2×	183 1.1×	99 1.0×	30 0.7×	44 1.3×	5	447
Daniel Cuevas-Ramos Mexico	6	348 1.0×	168 1.0×	97 1.0×	48 1.1×	49 1.4×	7	387
Craig E Stiles United Kingdom	9	245 0.7×	145 0.8×	47 0.5×	62 1.4×	64 1.8×	12	291
Anand K. Annamalai United Kingdom	8	175 0.5×	123 0.7×	34 0.3×	20 0.4×	46 1.3×	20	243
Zhi Peng Su China	8	256 0.8×	159 0.9×	81 0.8×	58 1.3×	88 2.5×	10	326
Agata Bałdys‐Waligórska Poland	9	190 0.6×	89 0.5×	49 0.5×	24 0.5×	36 1.0×	30	226
Angela Nesca Italy	10	277 0.8×	131 0.8×	46 0.5×	46 1.0×	4 0.1×	11	328
Karina Hermosillo Reséndiz United States	9	587 1.7×	252 1.5×	270 2.6×	59 1.3×	41 1.2×	11	675
Eva C Coopmans Netherlands	11	333 1.0×	173 1.0×	89 0.9×	24 0.5×	56 1.6×	21	357

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).

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.

Co-authorship network of co-authors of RA Feelders

This figure shows the co-authorship network connecting the top 25 collaborators of RA Feelders. A scholar is included among the top collaborators of RA Feelders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with RA Feelders. RA Feelders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Creemers, Sara G, P. M. van Koetsveld, Wouter W. de Herder, et al.. (2019). MDR1 inhibition increases sensitivity to doxorubicin and etoposide in adrenocortical cancer. Endocrine Related Cancer. 26(3). 367–378. 17 indexed citations

2.

Buitenwerf, Edward, et al.. (2018). Randomized trial comparing phenoxybenzamine and doxazosine for preoperative treatment of patients with a pheochromocytoma (PRESCRIPT). Endocrine Abstracts. 1 indexed citations

3.

Castaño, Justo P., et al.. (2018). Utility of a 3D spheroid cell culture system in neuroendocrine tumors. Endocrine Abstracts. 1 indexed citations

4.

Olderode-Berends, Maran J.W., Rob B. van der Luijt, Mercedes Robledo, et al.. (2017). Homozygous TMEM127 mutations in 2 patients with bilateral pheochromocytomas. Clinical Genetics. 93(5). 1049–1056. 2 indexed citations

5.

Neggers, Sebastian, Wouter W. de Herder, J. A. M. J. L. Janssen, RA Feelders, & A. J. van der Lely. (2009). Combined treatment for acromegaly with long-acting somatostatin analogs and pegvisomant: long-term safety for up to 4.5 years (median 2.2 years) of follow-up in 86 patients. European Journal of Endocrinology. 160(4). 529–533. 94 indexed citations

6.

Florio, Tullio, Federica Barbieri, Renato Spaziante, et al.. (2008). Efficacy of a dopamine-somatostatin chimeric molecule, BIM-23A760, in the control of cell growth from primary cultures of human non-functioning pituitary adenomas: a multi-center study. Endocrine Related Cancer. 15(2). 583–596. 87 indexed citations

7.

Feelders, RA. (2006). Diagnosis of hypercortisolism. 11.

8.

Feenstra, J, et al.. (2005). Combined therapy with somatostatin analogues and weekly pegvisomant in active acromegaly. The Lancet. 365(9471). 1644–1646. 179 indexed citations

9.

Feelders, RA, et al.. (2004). [Acromegaly. Treatment of the causal factor and the oral sequelae].. PubMed. 111(1). 20–2. 2 indexed citations

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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