Jan-Maarten Wit
- Pediatrics, Perinatology and Child Health top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Co-authors
- S.P. Verloove-VanhorickEmily BrugmanStef van BuurenMachteld J. RoedeA.M. FredriksBart BoersmaRonald BrandA. Lya den Ouden
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Infant Development and Preterm Care (4 papers)Birth, Development, and Health (4 papers)
- Cited by
- Pediatrics, Perinatology and Child HealthEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- NetherlandsUnited KingdomFrance
In The Last Decade
Jan-Maarten Wit
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Pediatrics, Perinatology and Child Health 841
- Public Health, Environmental and Occupational Health 350
- Molecular Biology 339
- Endocrinology, Diabetes and Metabolism 329
- Genetics 320
Countries citing papers authored by Jan-Maarten Wit
This map shows the geographic impact of Jan-Maarten Wit'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 Jan-Maarten Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan-Maarten Wit more than expected).
Fields of papers citing papers by Jan-Maarten Wit
This network shows the impact of papers produced by Jan-Maarten Wit. 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 Jan-Maarten Wit. The network helps show where Jan-Maarten Wit may publish in the future.
Co-authorship network of co-authors of Jan-Maarten Wit
This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Maarten Wit. A scholar is included among the top collaborators of Jan-Maarten Wit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan-Maarten Wit. Jan-Maarten Wit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 82 | |
| 3 | 169 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 85 | |
| 7 | Catch-up growth: definition, mechanisms, and models. | 92 |
| 8 | 47 | |
| 9 | 7 | |
| 10 | 64 | |
| 11 | 14 | |
| 12 | Continuing Positive Secular Growth Change in the Netherlands 1955–1997breakdown → | 910 |
| 13 | 17 | |
| 14 | 56 | |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 36 | |
| 18 | 79 | |
| 19 | 43 |
About Jan-Maarten Wit
Jan-Maarten Wit is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Infant Development and Preterm Care (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (841 citations), Endocrinology, Diabetes and Metabolism (329 citations) and Nutrition and Dietetics (267 citations). Jan-Maarten Wit has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include S.P. Verloove-Vanhorick, Emily Brugman, Stef van Buuren, Machteld J. Roede, A.M. Fredriks, Bart Boersma, Ronald Brand, A. Lya den Ouden, Sylvia Veen and N.C.M. Theunissen. Their work appears in journals such as Nucleic Acids Research, PEDIATRICS and The American Journal of 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.