G Wieringa

16 papers receiving 486 citations

Peers

G Wieringa
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 395
  • Nephrology 15
  • Surgery 74
  • Pediatrics, Perinatology and Child Health 32
  • Cardiology and Cardiovascular Medicine 35
Replace Svetlana Zorić with:
Svetlana Zorić Czechia
Mirta Knoepfelmacher Brazil
Akira Sata Japan
John F. Hennessy United States
Claudia Campusano Chile
Márcia Puñales Brazil
Michael B. Ranke Germany
Toshinaga Yonemoto Japan
Ji Young Joung South Korea
C Augeri Italy
G Wieringa relative to Svetlana Zorić Czechia Svetlana Zorić's profile →
Citations per field
00.5×2.9×
Svetlana Zorić · 1×
Citations per year

Countries citing papers authored by G Wieringa

Since Specialization
Citations

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

Fields of papers citing papers by G Wieringa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G Wieringa. 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 G Wieringa. The network helps show where G Wieringa may publish in the future.

Co-authors

The 25 scholars most cited alongside G Wieringa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G Wieringa Line = papers co-authored together G Wieringa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007131
2 2003123
3 200254
4 200244
5 200734
6 200824
7 200017
8 199916
9 200416
10 201812
11 200010
12 19977
13 19935
14 20003
15 20202
16 20231
17 19831

About G Wieringa

G Wieringa is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Surgery and Molecular Biology, having authored 17 papers that have together received 500 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Health and Medical Research Impacts (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Lipid metabolism and disorders (2 papers), Folate and B Vitamins Research (1 paper), Genomics and Rare Diseases (1 paper) and Potassium and Related Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (395 citations), Nephrology (15 citations), Surgery (74 citations), Pediatrics, Perinatology and Child Health (32 citations) and Cardiology and Cardiovascular Medicine (35 citations). G Wieringa has collaborated with scholars based in United Kingdom, Italy and Czechia. Frequent co-authors include Peter Trainer, Ken Darzy, Ana Pokrajac, Gwen Wark, S M Shalet, H. Rao Gattamaneni, Gianluca Aimaretti, Ezio Ghigo, Stephen M. Shalet and Allen P. Yates. Their work appears in journals such as Clinical Endocrinology, Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Clinical Biochemistry International Journal of Laboratory Medicine, European Journal of Endocrinology and Growth Hormone & IGF Research.

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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