Jacqueline de Graaf
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- Diabetes, Cardiovascular Risks, and Lipoproteins 44
- Biochemistry top 1%
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- Lipid metabolism and disorders 25
- Cardiovascular Health and Disease Prevention 14
- Surgery top 0.5%
- Lipoproteins and Cardiovascular Health 53
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 13
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- Adipokines, Inflammation, and Metabolic Diseases 22
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- Atherosclerosis and Cardiovascular Diseases 11
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- Innovations in Medical Education 11
- 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
- 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
- Endocrinology, Diabetes and Metabolism 2.7k
- Biochemistry 500
- Cardiology and Cardiovascular Medicine 1.8k
- Surgery 3.2k
- Cancer Research 958
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
The 25 scholars most cited alongside Jacqueline de Graaf, 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 | 2023 | 7 | |
| 2 | 2022 | 9 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 37 | |
| 9 | 2014 | 94 | |
| 10 | 2011 | 97 | |
| 11 | 2011 | 118 | |
| 12 | 2011 | 156 | |
| 13 | 2009 | 35 | |
| 14 | 2009 | 15 | |
| 15 | 2008 | 18 | |
| 16 | 2006 | 28 | |
| 17 | 2006 | 20 | |
| 18 | Who does become an internist? | 2004 | 2 |
| 19 | 2002 | 93 | |
| 20 | 1998 | 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), Lipid metabolism and disorders (25 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers), Cardiovascular Health and Disease Prevention (14 papers), Cancer, Lipids, and Metabolism (13 papers), Atherosclerosis and Cardiovascular Diseases (11 papers) and Innovations in Medical Education (11 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.
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.