Niek de Vries
- Immunology top 1%
- Rheumatology top 0.5%
- Molecular Biology top 10%
- Cancer Research top 2%
- Epidemiology top 5%
- Co-authors
- Paul P. TakGordon W. DuffAnthony G. WilsonFrancesco S. di GiovineFlemming PociotYuanjia TangNan ShenMarieke E. Doorenspleet
- Topics
- T-cell and B-cell Immunology (39 papers)Monoclonal and Polyclonal Antibodies Research (32 papers)Systemic Lupus Erythematosus Research (24 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Niek de Vries
114 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.9k
- Rheumatology 1.5k
- Molecular Biology 835
- Cancer Research 656
- Epidemiology 553
Countries citing papers authored by Niek de Vries
This map shows the geographic impact of Niek de Vries'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 Niek de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niek de Vries more than expected).
Fields of papers citing papers by Niek de Vries
This network shows the impact of papers produced by Niek de Vries. 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 Niek de Vries. The network helps show where Niek de Vries may publish in the future.
Co-authorship network of co-authors of Niek de Vries
This figure shows the co-authorship network connecting the top 25 collaborators of Niek de Vries. A scholar is included among the top collaborators of Niek de Vries 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 Niek de Vries. Niek de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | A Further Introduction to Dental Sleep Medicine | 2 |
| 5 | 23 | |
| 6 | 27 | |
| 7 | 13 | |
| 8 | 40 | |
| 9 | 181 | |
| 10 | 25 | |
| 11 | 42 | |
| 12 | 157 | |
| 13 | 213 | |
| 14 | 78 | |
| 15 | 22 | |
| 16 | Feasibility study of Flextube reflectometry for localisation of upper airway obstruction in obstructive sleep apnea. | 7 |
| 17 | 30 | |
| 18 | An allelic polymorphism within the human tumor necrosis factor alpha promoter region is strongly associated with HLA A1, B8, and DR3 alleles.breakdown → | 591 |
| 19 | 9 | |
| 20 | Endoscopic sinus surgery for antrochoanal polyps. | 13 |
About Niek de Vries
Niek de Vries is a scholar working on Rheumatology, Immunology and Otorhinolaryngology, having authored 120 papers that have together received 4.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (39 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and Systemic Lupus Erythematosus Research (24 papers). The work is most often cited by research in Rheumatology (1.5k citations), Immunology (1.9k citations) and Cancer Research (656 citations). Niek de Vries has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Paul P. Tak, Gordon W. Duff, Anthony G. Wilson, Francesco S. di Giovine, Flemming Pociot, Yuanjia Tang, Nan Shen, Marieke E. Doorenspleet, Paul L. Klarenbeek and Xiaobing Luo. Their work appears in journals such as The Lancet, Nucleic Acids Research and The Journal of Experimental Medicine.
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.