Frans Stellaard
- Surgery top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Epidemiology top 2%
- Physiology top 2%
- Co-authors
- Folkert KuipersG. PaumgartnerDirk‐Jan ReijngoudHenkjan J. VerkadeRoel J. VonkRick HavingaTheo BoerDieter Lütjohann
- Topics
- Drug Transport and Resistance Mechanisms (59 papers)Diet and metabolism studies (34 papers)Cholesterol and Lipid Metabolism (30 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Frans Stellaard
181 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 143
- Surgery 2.2k
- Oncology 1.5k
- Molecular Biology 1.1k
- Epidemiology 1.1k
- Physiology 864
Countries citing papers authored by Frans Stellaard
This map shows the geographic impact of Frans Stellaard'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 Frans Stellaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frans Stellaard more than expected).
Fields of papers citing papers by Frans Stellaard
This network shows the impact of papers produced by Frans Stellaard. 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 Frans Stellaard. The network helps show where Frans Stellaard may publish in the future.
Co-authorship network of co-authors of Frans Stellaard
This figure shows the co-authorship network connecting the top 25 collaborators of Frans Stellaard. A scholar is included among the top collaborators of Frans Stellaard 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 Frans Stellaard. Frans Stellaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 106 | |
| 2 | 169 | |
| 3 | 43 | |
| 4 | 81 | |
| 5 | 70 | |
| 6 | Hyperthyroidism decreases plasma HDL cholesterol by inhibition of hepatic ABCA1 expression | 1 |
| 7 | 25 | |
| 8 | 46 | |
| 9 | 67 | |
| 10 | 24 | |
| 11 | 299 | |
| 12 | Cafestol, the cholesterol-raising factor in boiled coffee, increases serum cholesterol levels in apolipoprotein E*3-Leiden transgenic mice by suppression of bile acid synthesis | 3 |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 67 | |
| 16 | European interlaboratory comparison of breath (CO2)-C-13 analysis | 2 |
| 17 | The canalicular bile salt exporting protein BSEP is not expressed in patients with progressive familial intrahepatic cholestasis type 2. | 8 |
| 18 | 47 | |
| 19 | 9 | |
| 20 | 19 |
About Frans Stellaard
Frans Stellaard is a scholar working on Clinical Biochemistry, Gastroenterology and Oncology, having authored 185 papers that have together received 5.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (59 papers), Diet and metabolism studies (34 papers) and Cholesterol and Lipid Metabolism (30 papers). The work is most often cited by research in Gastroenterology (440 citations), Clinical Biochemistry (451 citations) and Oncology (1.5k citations). Frans Stellaard has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Folkert Kuipers, G. Paumgartner, Dirk‐Jan Reijngoud, Henkjan J. Verkade, Roel J. Vonk, Rick Havinga, Theo Boer, Dieter Lütjohann, Renze Boverhof and Henderik W. Frijlink. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.