Luc Aerts

1.5k citations
35 papers · 1.1k · h-index 18

Impact in

Papers in

Luc Aerts

33 papers receiving 1.1k citations

Peers

Luc Aerts
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 301
  • Pediatrics, Perinatology and Child Health 367
  • Physical and Theoretical Chemistry 144
  • Endocrinology, Diabetes and Metabolism 172
  • Surgery 326
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Eun Hee Cho South Korea
John O’Mullane Ireland
Tatsuya Ishii Japan
Vinay Narwal India
Aixia Zhang China
E. Melvin Gindler United States
Grégoire Leclair Canada
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Madhukar Saxena India
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Citations per field
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Citations per year

Countries citing papers authored by Luc Aerts

Since Specialization
Citations

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

Fields of papers citing papers by Luc Aerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978200
2 1990168
3 1977103
4 200964
5 201262
6 201955
7
The endocrine pancreas during pregnancy and lactation in the rat.
198347
8 201841
9 199339
10 198532
11 201429
12 198128
13 199124
14 198323
15 197920
16 201320
17 198017
18 200917
19
Islet transplantation in diabetic pregnant rats normalizes glucose homeostasis in their offspring.
199217
20 202216

About Luc Aerts

Luc Aerts is a scholar working on Materials Chemistry, Surgery, Genetics, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (11 papers), Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (10 papers), Birth, Development, and Health (8 papers), Gestational Diabetes Research and Management (6 papers), Crystallography and molecular interactions (6 papers), Freezing and Crystallization Processes (4 papers) and Food Chemistry and Fat Analysis (4 papers). The work is most often cited by research in Obstetrics and Gynecology (301 citations), Pediatrics, Perinatology and Child Health (367 citations), Physical and Theoretical Chemistry (144 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Surgery (326 citations). Luc Aerts has collaborated with scholars based in Belgium, Ireland and Germany. Frequent co-authors include F.A. Van Assche, F. De Prins, Kathleen Holemans, Luc Quéré, Andréas Redl, Dario Braga, Fabrizia Grepioni, Johan Wouters, H. Berghmans and R. Koningsveld. Their work appears in journals such as Journal of Endocrinology, CrystEngComm, Diabetologia, Communications Chemistry and Particulate Science And Technology.

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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