A. De Vos

5.9k citations
80 papers · 4.2k · h-index 36

Impact in

Papers in

A. De Vos

76 papers receiving 3.9k citations

Peers

A. De Vos
Comparison fields: 5 of 109
  • Reproductive Medicine 931
  • Pediatrics, Perinatology and Child Health 1.3k
  • Public Health, Environmental and Occupational Health 1.2k
  • Genetics 821
  • Endocrinology, Diabetes and Metabolism 460
Replace Talia Eldar‐Geva with:
Talia Eldar‐Geva Israel
José Cara United States
Akira Iwase Japan
Josie McConnell United Kingdom
Florin Grigorescu France
Dwight W. Warren United States
Izhar Ben‐Shlomo Israel
Michael R. Christie United Kingdom
Ruti Parvari Israel
Jennifer H. Steel United Kingdom
A. De Vos relative to Talia Eldar‐Geva Israel Talia Eldar‐Geva's profile →
Citations per field
00.5×3.2×
Talia Eldar‐Geva · 1×
Citations per year

Countries citing papers authored by A. De Vos

Since Specialization
Citations

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

Fields of papers citing papers by A. De Vos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997363
2 1995292
3 2003174
4 1999165
5 1995148
6 1993139
7 2005134
8 2007133
9 2009127
10 1999124
11 1996113
12 2010111
13 199899
14 199895
15 200194
16 200289
17 200088
18 201686
19 199885
20 199885

About A. De Vos

A. De Vos is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Genetics and Molecular Biology, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (29 papers), Prenatal Screening and Diagnostics (21 papers), Sperm and Testicular Function (14 papers), Assisted Reproductive Technology and Twin Pregnancy (11 papers), Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Reproductive Medicine (931 citations), Pediatrics, Perinatology and Child Health (1.3k citations), Public Health, Environmental and Occupational Health (1.2k citations), Genetics (821 citations) and Endocrinology, Diabetes and Metabolism (460 citations). A. De Vos has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include H. Van de Velde, André Van Steirteghem, Daniël Pipeleers, Hubert Joris, Frans Schuit, Greta Verheyen, Paul Devroey, C. Staessen, Harry Heimberg and A. Van Steirteghem. Their work appears in journals such as Human Reproduction, Prenatal Diagnosis, Fertility and Sterility, Journal of Assisted Reproduction and Genetics and Human Genetics.

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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