Peter W. de Leeuw
- Cardiology and Cardiovascular Medicine top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Nutrition and Dietetics top 0.5%
- Co-authors
- Abraham A. KroonW. H. BirkenhägerRobert FagardJan A. StaessenLutgarde ThijsChoudomir NachevChristopher J. BulpittGastone Leonetti
- Topics
- Blood Pressure and Hypertension Studies (94 papers)Hormonal Regulation and Hypertension (45 papers)Heart Rate Variability and Autonomic Control (31 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismFamily Practice
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Peter W. de Leeuw
236 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cardiology and Cardiovascular Medicine 7.3k
- Endocrinology, Diabetes and Metabolism 2.2k
- Surgery 1.5k
- Pulmonary and Respiratory Medicine 1.3k
- Nutrition and Dietetics 1.3k
Countries citing papers authored by Peter W. de Leeuw
This map shows the geographic impact of Peter W. de Leeuw'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 Peter W. de Leeuw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. de Leeuw more than expected).
Fields of papers citing papers by Peter W. de Leeuw
This network shows the impact of papers produced by Peter W. de Leeuw. 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 Peter W. de Leeuw. The network helps show where Peter W. de Leeuw may publish in the future.
Co-authorship network of co-authors of Peter W. de Leeuw
This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. de Leeuw. A scholar is included among the top collaborators of Peter W. de Leeuw 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 Peter W. de Leeuw. Peter W. de Leeuw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 83 | |
| 3 | 28 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 56 | |
| 7 | 0 | |
| 8 | How to kickstart a national biobanking infrastructure – experiences and prospects of BBMRI-NL | 0 |
| 9 | 104 | |
| 10 | 244 | |
| 11 | 127 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 147 | |
| 16 | 84 | |
| 17 | 58 | |
| 18 | 50 | |
| 19 | 80 | |
| 20 | 14 |
About Peter W. de Leeuw
Peter W. de Leeuw is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 245 papers that have together received 11.4k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (94 papers), Hormonal Regulation and Hypertension (45 papers) and Heart Rate Variability and Autonomic Control (31 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.3k citations), Endocrinology, Diabetes and Metabolism (2.2k citations) and Family Practice (225 citations). Peter W. de Leeuw has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Abraham A. Kroon, W. H. Birkenhäger, Robert Fagard, Jan A. Staessen, Lutgarde Thijs, Choudomir Nachev, Christopher J. Bulpitt, Gastone Leonetti, Luís M. Ruilope and Giuseppe Mancia. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.