Denys Chaume
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Genetics top 10%
- Co-authors
- Marie‐Paule LefrancVéronique GiudicelliAdnan MalikJ. G. BodmerRonald E. BontropWerner MüllerChantal GinestouxM. Lemaître
- Topics
- vaccines and immunoinformatics approaches (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- FranceUnited KingdomNetherlands
In The Last Decade
Denys Chaume
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Immunology 809
- Molecular Biology 527
- Radiology, Nuclear Medicine and Imaging 483
- Oncology 159
- Genetics 128
Countries citing papers authored by Denys Chaume
This map shows the geographic impact of Denys Chaume'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 Denys Chaume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denys Chaume more than expected).
Fields of papers citing papers by Denys Chaume
This network shows the impact of papers produced by Denys Chaume. 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 Denys Chaume. The network helps show where Denys Chaume may publish in the future.
Co-authorship network of co-authors of Denys Chaume
This figure shows the co-authorship network connecting the top 25 collaborators of Denys Chaume. A scholar is included among the top collaborators of Denys Chaume 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 Denys Chaume. Denys Chaume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Retrieving factual data and documents using IMGT-ML in the IMGT information system®. | 1 |
| 3 | IMGT-Choreography for immunogenetics and immunoinformatics. | 72 |
| 4 | Immunogenetics Sequence Annotation: the Strategy of IMGT based on IMGT-ONTOLOGY. | 34 |
| 5 | 265 | |
| 6 | 241 | |
| 7 | IMGT-ONTOLOGY for immunogenetics and immunoinformatics. | 76 |
| 8 | IMGT, the international ImMunoGeneTics information system, http://imgt.cines.fr: the reference in immunoinformatics. | 12 |
| 9 | 304 | |
| 10 | 15 | |
| 11 | IMGT/LIGM-DB: a systematized approach for ImMunoGeneTics database coherence and data distribution improvement. | 14 |
| 12 | 49 | |
| 13 | 117 | |
| 14 | 23 |
About Denys Chaume
Denys Chaume is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (809 citations), Radiology, Nuclear Medicine and Imaging (483 citations) and Genetics (128 citations). Denys Chaume has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Marie‐Paule Lefranc, Véronique Giudicelli, Adnan Malik, J. G. Bodmer, Ronald E. Bontrop, Werner Müller, Chantal Ginestoux, M. Lemaître, Valérie Barbié and S. G. E. Marsh. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Annals of the New York Academy of 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.