Jan Freark de Boer
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Surgery top 5%
- Cholesterol and Lipid Metabolism 24
- Pediatric Hepatobiliary Diseases and Treatments 12
- Lipoproteins and Cardiovascular Health 6
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 33
- Clinical Biochemistry top 5%
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 18
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- Peroxisome Proliferator-Activated Receptors 10
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- Liver Diseases and Immunity 5
- Co-authors
- Uwe J.F. TietgeWijtske AnnemaFolkert KuipersAlbert K. GroenVincent W. BloksMarleen SchonewilleRobin P. F. DullaartArne Dikkers
- Journals
- Journal of Lipid Research (7 papers)Atherosclerosis (6 papers)Current Opinion in Lipidology (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jan Freark de Boer
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 479
- Surgery 891
- Oncology 543
- Clinical Biochemistry 121
- Epidemiology 480
Countries citing papers authored by Jan Freark de Boer
This map shows the geographic impact of Jan Freark de Boer'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 Jan Freark de Boer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Freark de Boer more than expected).
Fields of papers citing papers by Jan Freark de Boer
This network shows the impact of papers produced by Jan Freark de Boer. 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 Jan Freark de Boer. The network helps show where Jan Freark de Boer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Freark de Boer, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 3 | |
| 14 | 2016 | 116 | |
| 15 | 2016 | 52 | |
| 16 | 2014 | 10 | |
| 17 | 2013 | 25 | |
| 18 | 2011 | 21 | |
| 19 | 2011 | 32 | |
| 20 | 2009 | 33 |
About Jan Freark de Boer
Jan Freark de Boer is a scholar working on Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (33 papers), Cholesterol and Lipid Metabolism (24 papers), Liver Disease Diagnosis and Treatment (18 papers), Pediatric Hepatobiliary Diseases and Treatments (12 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Liver Diseases and Immunity (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Surgery (891 citations) and Oncology (543 citations). Jan Freark de Boer has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Uwe J.F. Tietge, Wijtske Annema, Folkert Kuipers, Albert K. Groen, Vincent W. Bloks, Marleen Schonewille, Robin P. F. Dullaart, Arne Dikkers, Justina C. Wolters and Jan Albert Kuivenhoven. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, Current Opinion in Lipidology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Gastroenterology.
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.