Jacqueline de Graaf
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Epidemiology top 2%
- Co-authors
- Anton F. H. StalenhoefPierre N.M. DemackerAllan D. SnidermanJan C.M. HendriksHeidi L.M. Hak-LemmersJohn J.P. KasteleinM.P.C. HectorsSuzanne Holewijn
- Topics
- Lipoproteins and Cardiovascular Health (53 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (44 papers)Lipid metabolism and disorders (25 papers)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Jacqueline de Graaf
155 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Surgery 3.2k
- Endocrinology, Diabetes and Metabolism 2.7k
- Cardiology and Cardiovascular Medicine 1.8k
- Molecular Biology 1.1k
- Epidemiology 1.1k
Countries citing papers authored by Jacqueline de Graaf
This map shows the geographic impact of Jacqueline de Graaf'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 Jacqueline de Graaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline de Graaf more than expected).
Fields of papers citing papers by Jacqueline de Graaf
This network shows the impact of papers produced by Jacqueline de Graaf. 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 Jacqueline de Graaf. The network helps show where Jacqueline de Graaf may publish in the future.
Co-authorship network of co-authors of Jacqueline de Graaf
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline de Graaf. A scholar is included among the top collaborators of Jacqueline de Graaf 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 Jacqueline de Graaf. Jacqueline de Graaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 9 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 35 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 37 | |
| 9 | 94 | |
| 10 | 97 | |
| 11 | 118 | |
| 12 | 156 | |
| 13 | 35 | |
| 14 | 15 | |
| 15 | 18 | |
| 16 | 28 | |
| 17 | 20 | |
| 18 | Who does become an internist? | 2 |
| 19 | 93 | |
| 20 | 59 |
About Jacqueline de Graaf
Jacqueline de Graaf is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Family Practice, having authored 156 papers that have together received 7.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (53 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (44 papers) and Lipid metabolism and disorders (25 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Biochemistry (500 citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Jacqueline de Graaf has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Anton F. H. Stalenhoef, Pierre N.M. Demacker, Allan D. Sniderman, Jan C.M. Hendriks, Heidi L.M. Hak-Lemmers, John J.P. Kastelein, M.P.C. Hectors, Suzanne Holewijn, Patrick Couture and Ken Williams. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.