Jacqueline de Graaf

18.2k citations
156 papers · 7.2k indexed · 3 hit papers · h-index 47

Jacqueline de Graaf

155 papers receiving 7.0k citations

Hit Papers

Homozygous autosomal dominan...3081991202620022014200400600

Peers

Jacqueline de Graaf
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
Replace Jiří Fröhlich with:
Jiří Fröhlich Canada
Joseph P. McConnell United States
Maurizio Averna Italy
Klaus G. Parhofer Germany
Željko Reiner Croatia
Kwang Kon Koh South Korea
D. J. Betteridge United Kingdom
Dennis L. Sprecher United States
Niki Katsiki Greece
G. Russell Warnick United States
Jacqueline de Graaf relative to Jiří Fröhlich Canada Jiří Fröhlich's profile →
Citations per field
00.5×1.5×
Jiří Fröhlich · 1×
Citations per year

Countries citing papers authored by Jacqueline de Graaf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jacqueline de Graaf Line = papers co-authored together Jacqueline de Graaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20229
3 202027
4 20208
5 202035
6 20193
7 201921
8 201737
9 201494
10 201197
11 2011118
12 2011156
13 200935
14 200915
15 200818
16 200628
17 200620
18
Who does become an internist?
20042
19 200293
20 199859

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.

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