Philippe Delannoy
- Molecular Biology top 1%
- Immunology top 1%
- Organic Chemistry top 1%
- Cell Biology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Anne Harduin‐LepersMarie‐Ange Krzewinski‐RecchiSylvain JulienSophie Groux‐DegrootePierre J. MarieMarie BobowskiAurélie CazetBénédicte Samyn-Petit
- Topics
- Glycosylation and Glycoproteins Research (100 papers)Carbohydrate Chemistry and Synthesis (30 papers)Galectins and Cancer Biology (24 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Philippe Delannoy
121 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.9k
- Immunology 1.9k
- Organic Chemistry 1.2k
- Cell Biology 894
- Radiology, Nuclear Medicine and Imaging 724
Countries citing papers authored by Philippe Delannoy
This map shows the geographic impact of Philippe Delannoy'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 Philippe Delannoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Delannoy more than expected).
Fields of papers citing papers by Philippe Delannoy
This network shows the impact of papers produced by Philippe Delannoy. 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 Philippe Delannoy. The network helps show where Philippe Delannoy may publish in the future.
Co-authorship network of co-authors of Philippe Delannoy
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Delannoy. A scholar is included among the top collaborators of Philippe Delannoy 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 Philippe Delannoy. Philippe Delannoy 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 | 13 | |
| 3 | 30 | |
| 4 | Tools and techniques to identify and capture sialoglycans | 1 |
| 5 | 41 | |
| 6 | 31 | |
| 7 | 80 | |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 86 | |
| 11 | 19 | |
| 12 | 138 | |
| 13 | Structure-function analysis of the human sialyltransferase ST3Gal I - Role of N-glycosylation and a novel conserved sialylmotif | 1 |
| 14 | 30 | |
| 15 | 82 | |
| 16 | 30 | |
| 17 | 31 | |
| 18 | 46 | |
| 19 | 14 | |
| 20 | 25 |
About Philippe Delannoy
Philippe Delannoy is a scholar working on Cell Biology, Molecular Biology and Biotechnology, having authored 121 papers that have together received 6.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (100 papers), Carbohydrate Chemistry and Synthesis (30 papers) and Galectins and Cancer Biology (24 papers). The work is most often cited by research in Immunology (1.9k citations), Molecular Biology (4.9k citations) and Biotechnology (480 citations). Philippe Delannoy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Anne Harduin‐Lepers, Marie‐Ange Krzewinski‐Recchi, Sylvain Julien, Sophie Groux‐Degroote, Pierre J. Marie, Marie Bobowski, Aurélie Cazet, Bénédicte Samyn-Petit, Verónica Vallejo‐Ruiz and Xuefen Le Bourhis. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.