J E de Vries
Impact in
- Immunology top 0.02%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
- Immunology and Allergy top 0.05%
- Allergic Rhinitis and Sensitization
Papers in
- Immunology 163
- Immune Cell Function and Interaction 102
- T-cell and B-cell Immunology 101
- Immunotherapy and Immune Responses 49
- Immunodeficiency and Autoimmune Disorders 22
- T-cell and Retrovirus Studies 12
-
- Monoclonal and Polyclonal Antibodies Research 53
- Co-authors
- René de Waal Malefyt (23 shared papers)Carl G. Figdor (22 shared papers)Hergen Spits (53 shared papers)Hans Yssel (31 shared papers)Mike Bigler (10 shared papers)J S Abrams (5 shared papers)Hervé Groux (6 shared papers)Gregorio Aversa (37 shared papers)
- Journals
- The Journal of Immunology (65 papers)The Journal of Experimental Medicine (17 papers)European Journal of Immunology (13 papers)International Journal of Cancer (9 papers)International Immunology (6 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
J E de Vries
197 papers receiving 26.1k citations
J E de Vries's Hit Papers
Peers
Comparison fields: 5 of 156
- Immunology 17.6k
- Immunology and Allergy 2.7k
- Oncology 3.6k
- Dermatology 1.2k
- Hematology 1.4k
Countries citing papers authored by J E de Vries
This map shows the geographic impact of J E 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 J E 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 J E de Vries more than expected).
Fields of papers citing papers by J E de Vries
This network shows the impact of papers produced by J E 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 J E de Vries. The network helps show where J E de Vries may publish in the future.
Co-authors
The 25 scholars most cited alongside J E de Vries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin 10(IL-10) inhibits cytokine synthesis by human monocytes: an autoregulatory role of IL-10 produced by monocytes. Hit paper breakdown → | 1991 | 3238 |
| 2 | A CD4+T-cell subset inhibits antigen-specific T-cell responses and prevents colitis Hit paper breakdown → | 1997 | 2953 |
| 3 | Interleukin 10 (IL-10) and viral IL-10 strongly reduce antigen-specific human T cell proliferation by diminishing the antigen-presenting capacity of monocytes via downregulation of class II major histocompatibility complex expression. Hit paper breakdown → | 1991 | 1685 |
| 4 | Interleukin 13 induces interleukin 4-independent IgG4 and IgE synthesis and CD23 expression by human B cells. Hit paper breakdown → | 1993 | 906 |
| 5 | Interleukin 13, an interleukin 4-like cytokine that acts on monocytes and B cells, but not on T cells Hit paper breakdown → | 1994 | 759 |
| 6 | The X-linked lymphoproliferative-disease gene product SAP regulates signals induced through the co-receptor SLAM Hit paper breakdown → | 1998 | 750 |
| 7 | Interleukin-10 induces a long-term antigen-specific anergic state in human CD4+ T cells. Hit paper breakdown → | 1996 | 673 |
| 8 | Effects of IL-13 on phenotype, cytokine production, and cytotoxic function of human monocytes. Comparison with IL-4 and modulation by IFN-gamma or IL-10. Hit paper breakdown → | 1993 | 553 |
| 9 | Direct effects of IL-10 on subsets of human CD4+ T cell clones and resting T cells. Specific inhibition of IL-2 production and proliferation Hit paper breakdown → | 1993 | 526 |
| 10 | 1986 | 443 | |
| 11 | 1995 | 414 | |
| 12 | 1998 | 374 | |
| 13 | Serum-free medium for generation and propagation of functional human cytotoxic and helper T cell clones Hit paper breakdown → | 1984 | 346 |
| 14 | 1992 | 345 | |
| 15 | 1994 | 334 | |
| 16 | 1998 | 334 | |
| 17 | 1995 | 321 | |
| 18 | Inhibitory and stimulatory effects of IL-10 on human CD8+ T cells. | 1998 | 299 |
| 19 | 1990 | 298 | |
| 20 | 1991 | 280 |
About J E de Vries
J E de Vries is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Immunology and Allergy, having authored 199 papers that have together received 27.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (102 papers), T-cell and B-cell Immunology (101 papers), Monoclonal and Polyclonal Antibodies Research (53 papers), Immunotherapy and Immune Responses (49 papers), Immunodeficiency and Autoimmune Disorders (22 papers), CAR-T cell therapy research (16 papers), Glycosylation and Glycoproteins Research (15 papers) and T-cell and Retrovirus Studies (12 papers). The work is most often cited by research in Immunology (17.6k citations), Immunology and Allergy (2.7k citations), Oncology (3.6k citations), Dermatology (1.2k citations) and Hematology (1.4k citations). J E de Vries has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include René de Waal Malefyt, Carl G. Figdor, Hergen Spits, Hans Yssel, Mike Bigler, J S Abrams, Hervé Groux, Gregorio Aversa, Maria Grazia Roncarolo and Gérard Zurawski. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, European Journal of Immunology, International Journal of Cancer and International Immunology.
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.