Jean‐Paul De Backer
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cognitive Neuroscience
- Co-authors
- Georges VauquelinJacques De KeyserGuy EbingerPatrick VanderheydenAndré ConventsFrederik FierensMinh Tâm LêFrank Roels
- Topics
- Receptor Mechanisms and Signaling (32 papers)Neuropeptides and Animal Physiology (18 papers)Neuroscience and Neuropharmacology Research (13 papers)
In The Last Decade
Jean‐Paul De Backer
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 692
- Cellular and Molecular Neuroscience 644
- Cardiology and Cardiovascular Medicine 197
- Endocrinology, Diabetes and Metabolism 124
- Cognitive Neuroscience 94
Countries citing papers authored by Jean‐Paul De Backer
This map shows the geographic impact of Jean‐Paul De Backer'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 Jean‐Paul De Backer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Paul De Backer more than expected).
Fields of papers citing papers by Jean‐Paul De Backer
This network shows the impact of papers produced by Jean‐Paul De Backer. 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 Jean‐Paul De Backer. The network helps show where Jean‐Paul De Backer may publish in the future.
Co-authorship network of co-authors of Jean‐Paul De Backer
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Paul De Backer. A scholar is included among the top collaborators of Jean‐Paul De Backer 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 Jean‐Paul De Backer. Jean‐Paul De Backer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 29 | |
| 4 | 25 | |
| 5 | 41 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | 81 | |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 52 | |
| 15 | 15 | |
| 16 | 38 | |
| 17 | 60 | |
| 18 | 103 | |
| 19 | 5 | |
| 20 | 12 |
About Jean‐Paul De Backer
Jean‐Paul De Backer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Neuropeptides and Animal Physiology (18 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (644 citations), Molecular Biology (692 citations) and Cardiology and Cardiovascular Medicine (197 citations). Jean‐Paul De Backer has collaborated with scholars based in Belgium, Hungary and France. Frequent co-authors include Georges Vauquelin, Jacques De Keyser, Guy Ebinger, Patrick Vanderheyden, André Convents, Frederik Fierens, Minh Tâm Lê, Frank Roels, Heidi Demaegdt and Isabelle Van Liefde. Their work appears in journals such as Biochemical Journal, Brain Research and Biochemical and Biophysical Research Communications.
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.