C. de Préval
- Immunology top 5%
- T-cell and B-cell Immunology 21
- Immune Cell Function and Interaction 15
- Immunodeficiency and Autoimmune Disorders 6
- Immunotherapy and Immune Responses 6
- Transplantation top 5%
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- Monoclonal and Polyclonal Antibodies Research 22
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 8
- Hematology top 10%
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- Glycosylation and Glycoproteins Research 6
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- Diabetes and associated disorders 6
- Co-authors
- Bernard MachC GriscelliBarbara Lisowska‐GrospierreJack GorskiM. LocheGiovanna AngeliniMichel FougereauHélène Coppin
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
C. de Préval
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Immunology 751
- Transplantation 50
- Radiology, Nuclear Medicine and Imaging 324
- Immunology and Allergy 63
- Hematology 93
Countries citing papers authored by C. de Préval
This map shows the geographic impact of C. de Préval'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 C. de Préval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. de Préval more than expected).
Fields of papers citing papers by C. de Préval
This network shows the impact of papers produced by C. de Préval. 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 C. de Préval. The network helps show where C. de Préval may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. de Préval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 1 | |
| 2 | 2000 | 21 | |
| 3 | 1999 | 35 | |
| 4 | 1999 | 8 | |
| 5 | 1999 | 6 | |
| 6 | 1999 | 6 | |
| 7 | 1999 | 47 | |
| 8 | 1995 | 20 | |
| 9 | 1993 | 29 | |
| 10 | 1992 | 8 | |
| 11 | 1991 | 2 | |
| 12 | 1990 | 45 | |
| 13 | 1990 | 2 | |
| 14 | 1990 | 29 | |
| 15 | 1989 | 4 | |
| 16 | 1989 | 12 | |
| 17 | 1988 | 65 | |
| 18 | 1987 | 4 | |
| 19 | 1981 | 9 | |
| 20 | 1979 | 8 |
About C. de Préval
C. de Préval is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Hematology and Transplantation, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (15 papers), Cell Adhesion Molecules Research (8 papers), Glycosylation and Glycoproteins Research (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Diabetes and associated disorders (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (751 citations), Transplantation (50 citations), Radiology, Nuclear Medicine and Imaging (324 citations), Immunology and Allergy (63 citations) and Hematology (93 citations). C. de Préval has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Bernard Mach, C Griscelli, Barbara Lisowska‐Grospierre, Jack Gorski, M. Loche, Giovanna Angelini, Michel Fougereau, Hélène Coppin, M. Hadam and Alain Bourgois. Their work appears in journals such as Human Immunology, Immunogenetics, The Journal of Immunology, The Journal of Experimental Medicine and Nature.
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.