Harold W. de Valk
- Endocrinology, Diabetes and Metabolism top 0.5%
- Obstetrics and Gynecology top 0.5%
- Surgery top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Genetics top 5%
- Co-authors
- Gerard H.A. VisserInge M. EversAnneloes KerssenJan WesterinkMarieke de VriesD.W. ErkelensFrancjan J. van SpronsenM. Castro Cabezas
- Topics
- Diabetes Management and Research (47 papers)Gestational Diabetes Research and Management (37 papers)Diabetes Treatment and Management (25 papers)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Harold W. de Valk
112 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 1.5k
- Obstetrics and Gynecology 1.2k
- Surgery 831
- Pediatrics, Perinatology and Child Health 587
- Genetics 410
Countries citing papers authored by Harold W. de Valk
This map shows the geographic impact of Harold W. de Valk'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 Harold W. de Valk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold W. de Valk more than expected).
Fields of papers citing papers by Harold W. de Valk
This network shows the impact of papers produced by Harold W. de Valk. 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 Harold W. de Valk. The network helps show where Harold W. de Valk may publish in the future.
Co-authorship network of co-authors of Harold W. de Valk
This figure shows the co-authorship network connecting the top 25 collaborators of Harold W. de Valk. A scholar is included among the top collaborators of Harold W. de Valk 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 Harold W. de Valk. Harold W. de Valk 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 | 2 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 24 | |
| 6 | 27 | |
| 7 | 95 | |
| 8 | 6 | |
| 9 | 35 | |
| 10 | 6 | |
| 11 | 35 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 72 | |
| 17 | 41 | |
| 18 | Een kinderziekte op de volwassen leeftijd: fenylketonurie | 1 |
| 19 | 0 | |
| 20 | 173 |
About Harold W. de Valk
Harold W. de Valk is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 117 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (47 papers), Gestational Diabetes Research and Management (37 papers) and Diabetes Treatment and Management (25 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Endocrinology, Diabetes and Metabolism (1.5k citations) and Clinical Biochemistry (277 citations). Harold W. de Valk has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Gerard H.A. Visser, Inge M. Evers, Anneloes Kerssen, Jan Westerink, Marieke de Vries, D.W. Erkelens, Francjan J. van Spronsen, M. Castro Cabezas, Carol C. Shoulders and Hans Jansen. Their work appears in journals such as Journal of Clinical Investigation, Annals of Internal Medicine and PLoS ONE.
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.