R. A. Geerdink

1.4k citations
33 papers · 1.0k indexed · h-index 16

R. A. Geerdink

31 papers receiving 936 citations

Peers

R. A. Geerdink
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 365
  • Surgery 283
  • Epidemiology 245
  • Molecular Biology 232
  • Oncology 221
Replace S Sukumar with:
S Sukumar United States
Tan Tominaga Japan
F. Matzkies Germany
O. Klein Israel
Andrea Di Domenicantonio Italy
Jody Ginsberg Canada
Motoyuki Masai Japan
Hasnain Khandwala Canada
M Grußendorf Germany
Hugo Studer Switzerland
R. A. Geerdink relative to S Sukumar United States S Sukumar's profile →
Citations per field
00.5×5.1×
S Sukumar · 1×
Citations per year

Countries citing papers authored by R. A. Geerdink

Since Specialization
Citations

This map shows the geographic impact of R. A. Geerdink'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 R. A. Geerdink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. A. Geerdink more than expected).

Fields of papers citing papers by R. A. Geerdink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Geerdink. 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 R. A. Geerdink. The network helps show where R. A. Geerdink may publish in the future.

Co-authorship network of co-authors of R. A. Geerdink

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Geerdink. A scholar is included among the top collaborators of R. A. Geerdink 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 R. A. Geerdink. R. A. Geerdink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 83
2 13
3 16
4 1
5 310
6 28
7
The clinical implications of a positive calcitonin test for C-cell hyperplasia in genetically unaffected members of an MEN2A kindred.
25
8 26
9 41
10 40
11 56
12 9
13
Serum proteins and red cell enzymes in Trio and Wajana Indians from Surinam.
13
14
Blood groups and immunoglobulin groups in Trio and Wajana Indians from Surinam.
21
15 14
16 34
17 1
18
Hereditary elliptocytosis and hyperhaemolysis. A comparative study of 6 families with 145 patients.
11
19 9
20 22

About R. A. Geerdink

R. A. Geerdink is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Diabetes and associated disorders (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (365 citations), Complementary and Manual Therapy (18 citations) and Oncology (221 citations). R. A. Geerdink has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include A Struyvenberg, Rudy M. Landsvater, Edward V. Glanville, Jo W.M. Höppener, Cornelis J.M. Lips, Hans Kristian Ploos van Amstel, Geert H. Blijham, Mireille J. de Wit, Frits A. Beemer and Thea M. Vroom. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Diabetes Care.

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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