G. Smets

663 citations
27 papers · 539 · h-index 16

Impact in

Papers in

G. Smets

27 papers receiving 502 citations

Peers

G. Smets
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 168
  • Biochemistry 39
  • Genetics 170
  • Reproductive Medicine 47
  • Behavioral Neuroscience 18
Replace D. T. Lincoln with:
D. T. Lincoln Australia
James A. Gurr United States
Masanori Murakoshi Japan
Darrell A. Austin United States
Dale A. Freeman United States
W. J. Salsgiver United States
Gülen Türkeri France
Virginia Pearce United States
Roger Lachance Canada
Françoise Gasnier France
G. Smets relative to D. T. Lincoln Australia D. T. Lincoln's profile →
Citations per field
00.5×4.7×
D. T. Lincoln · 1×
Citations per year

Countries citing papers authored by G. Smets

Since Specialization
Citations

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

Fields of papers citing papers by G. Smets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Smets, 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. Smets Line = papers co-authored together G. Smets links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198268
2 198853
3 199740
4 199838
5 198831
6 199028
7 200327
8 198127
9 199827
10 198725
11 199520
12 198920
13 200319
14
Liarozole potentiates the all-trans-retinoic acid-induced structural remodelling in human breast carcinoma MCF-7 cells in vitro.
199616
15 200215
16 199115
17 200313
18 198012
19 199212
20 19877

About G. Smets

G. Smets is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Organic Chemistry, having authored 27 papers that have together received 539 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Retinoids in leukemia and cellular processes (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Diabetes Management and Research (3 papers), Quinazolinone synthesis and applications (3 papers), Diabetes and associated disorders (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Biochemistry (39 citations), Genetics (170 citations), Reproductive Medicine (47 citations) and Behavioral Neuroscience (18 citations). G. Smets has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include W Gepts, L. Vanhaelst, Μ. Borgers, M. Van De Winkel, Daniël Pipeleers, Walter Wouters, B. Velkeniers, E. L. Hooghe‐Peters, Alexandra Belayew and Frans C. S. Ramaekers. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Histochemistry & Cytochemistry, British Journal of Cancer, Progress in Histochemistry and Cytochemistry and Endocrinology.

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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