Nienke de Graeff
- Rheumatology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Nephrology top 5%
- Molecular Biology
- Surgery
- Co-authors
- Nico WulffraatLiza McCannSebastiaan J. VastertTadej AvčinMichael W. BeresfordBrian M. FeldmanSylvia KamphuisPaul Brogan
- Topics
- Biomedical Ethics and Regulation (5 papers)CRISPR and Genetic Engineering (5 papers)Autoimmune and Inflammatory Disorders Research (4 papers)
- Cited by
- NephrologyRheumatologyHematology
- Journals
- Nature MedicineNature MethodsPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Nienke de Graeff
21 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Rheumatology 253
- Pulmonary and Respiratory Medicine 249
- Nephrology 196
- Molecular Biology 156
- Surgery 148
Countries citing papers authored by Nienke de Graeff
This map shows the geographic impact of Nienke de Graeff'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 Nienke de Graeff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nienke de Graeff more than expected).
Fields of papers citing papers by Nienke de Graeff
This network shows the impact of papers produced by Nienke de Graeff. 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 Nienke de Graeff. The network helps show where Nienke de Graeff may publish in the future.
Co-authorship network of co-authors of Nienke de Graeff
This figure shows the co-authorship network connecting the top 25 collaborators of Nienke de Graeff. A scholar is included among the top collaborators of Nienke de Graeff 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 Nienke de Graeff. Nienke de Graeff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Clinical applications of human organoidsbreakdown → | 49 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 59 | |
| 13 | 8 | |
| 14 | [Culturally sensitive communication in end-of-life care: the care for Muslim patients as an example]. | 2 |
| 15 | 92 | |
| 16 | 127 | |
| 17 | 12 | |
| 18 | End-of-life practices: Ensuring ‘quality of dying’ during withdrawal of life-sustaining measures | 0 |
| 19 | 2 | |
| 20 | 45 |
About Nienke de Graeff
Nienke de Graeff is a scholar working on Business and International Management, Hematology and Nephrology, having authored 24 papers that have together received 745 indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (5 papers), CRISPR and Genetic Engineering (5 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). The work is most often cited by research in Nephrology (196 citations), Rheumatology (253 citations) and Hematology (104 citations). Nienke de Graeff has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Nico Wulffraat, Liza McCann, Sebastiaan J. Vastert, Tadej Avčin, Michael W. Beresford, Brian M. Feldman, Sylvia Kamphuis, Paul Brogan, Pavla Doležalová and Noortje Groot. Their work appears in journals such as Nature Medicine, Nature Methods and Philosophical Transactions of the Royal Society B Biological Sciences.
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.