Mariëtte J.V. Hoffer
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 10
- Genomics and Rare Diseases 4
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- Prenatal Screening and Diagnostics 17
- Fetal and Pediatric Neurological Disorders 9
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
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- Lipid metabolism and disorders 5
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- Lipoproteins and Cardiovascular Health 7
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- Congenital heart defects research 6
- Co-authors
- Louis M. HavekesRune R. FrantsClaudia RuivenkampGijs W.E. SantenMarjolein KriekJohan T. den DunnenChristi J. van AsperenYu Sun
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Clinical Chemistry (2 papers)Fertility and Sterility (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mariëtte J.V. Hoffer
39 papers receiving 834 citations
Peers
Comparison fields: 5 of 85
- Genetics 335
- Pediatrics, Perinatology and Child Health 221
- Endocrinology, Diabetes and Metabolism 155
- Cardiology and Cardiovascular Medicine 128
- Cancer Research 83
Countries citing papers authored by Mariëtte J.V. Hoffer
This map shows the geographic impact of Mariëtte J.V. Hoffer'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 Mariëtte J.V. Hoffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariëtte J.V. Hoffer more than expected).
Fields of papers citing papers by Mariëtte J.V. Hoffer
This network shows the impact of papers produced by Mariëtte J.V. Hoffer. 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 Mariëtte J.V. Hoffer. The network helps show where Mariëtte J.V. Hoffer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mariëtte J.V. Hoffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 48 | |
| 9 | 2019 | 39 | |
| 10 | 2017 | 30 | |
| 11 | 2013 | 57 | |
| 12 | 2011 | 4 | |
| 13 | 2002 | 45 | |
| 14 | 1998 | 25 | |
| 15 | 1996 | 63 | |
| 16 | 1996 | 5 | |
| 17 | 1996 | 24 | |
| 18 | 1994 | 10 | |
| 19 | 1993 | 23 | |
| 20 | 1989 | 36 |
About Mariëtte J.V. Hoffer
Mariëtte J.V. Hoffer is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 851 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (17 papers), Genomic variations and chromosomal abnormalities (10 papers), Fetal and Pediatric Neurological Disorders (9 papers), Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Congenital heart defects research (6 papers), Lipid metabolism and disorders (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Genetics (335 citations), Pediatrics, Perinatology and Child Health (221 citations) and Endocrinology, Diabetes and Metabolism (155 citations). Mariëtte J.V. Hoffer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Louis M. Havekes, Rune R. Frants, Claudia Ruivenkamp, Gijs W.E. Santen, Marjolein Kriek, Johan T. den Dunnen, Christi J. van Asperen, Yu Sun, Terry Vrijenhoek and Anton F. H. Stalenhoef. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Clinical Chemistry and Fertility and Sterility.
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.