Peter de Vries
- Immunology top 10%
- Molecular Biology
- Oncology top 10%
- Hematology top 5%
- Genetics top 10%
- Co-authors
- Jack W. SingerEugene MaraskovskyStewart D. LymanM P BeckmannTim Vanden BosDouglas E. WilliamsKathleen S. PichaFrederick A. Fletcher
- Topics
- Magnetic confinement fusion research (6 papers)Superconducting Materials and Applications (6 papers)T-cell and B-cell Immunology (4 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- CellSHILAP Revista de lepidopterologíaClinical Cancer Research
- Partner nations
- United StatesFranceGermany
In The Last Decade
Peter de Vries
18 papers receiving 884 citations
Peers
Comparison fields: 5 of 87
- Immunology 270
- Molecular Biology 257
- Oncology 245
- Hematology 239
- Genetics 98
Countries citing papers authored by Peter de Vries
This map shows the geographic impact of Peter 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 Peter 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 Peter de Vries more than expected).
Fields of papers citing papers by Peter de Vries
This network shows the impact of papers produced by Peter 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 Peter de Vries. The network helps show where Peter de Vries may publish in the future.
Co-authorship network of co-authors of Peter de Vries
This figure shows the co-authorship network connecting the top 25 collaborators of Peter de Vries. A scholar is included among the top collaborators of Peter 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 Peter de Vries. Peter 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 | 2 | |
| 2 | 14 | |
| 3 | 144 | |
| 4 | 18 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | MHD instabilities in JET Hybrid Scenario with the ITER Like Wall | 0 |
| 8 | Quality in E-learning: user experiences in China | 0 |
| 9 | 23 | |
| 10 | 23 | |
| 11 | 124 | |
| 12 | 39 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | 444 | |
| 20 | Identification of murine haemopoietic stem cells with monoclonal antibodies | 1 |
About Peter de Vries
Peter de Vries is a scholar working on Nuclear and High Energy Physics, Hematology and Immunology, having authored 20 papers that have together received 920 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (6 papers), Superconducting Materials and Applications (6 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (239 citations), Immunology (270 citations) and Genetics (98 citations). Peter de Vries has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Jack W. Singer, Eugene Maraskovsky, Stewart D. Lyman, M P Beckmann, Tim Vanden Bos, Douglas E. Williams, Kathleen S. Picha, Frederick A. Fletcher, Hilary J. McKenna and Ken Brasel. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and Clinical Cancer Research.
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.