Nadia Bougarne
- Molecular Biology
- Epidemiology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Co-authors
- Karolien De BosscherBart StaelsSofie DesmetJulie DeckersDavid RayGuy HaegemanWim Vanden BergheRené Delgado
- Topics
- NF-κB Signaling Pathways (11 papers)Cytokine Signaling Pathways and Interactions (8 papers)Estrogen and related hormone effects (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismComplementary and alternative medicineCancer Research
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Nadia Bougarne
22 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 605
- Epidemiology 221
- Physiology 213
- Endocrinology, Diabetes and Metabolism 204
- Genetics 199
Countries citing papers authored by Nadia Bougarne
This map shows the geographic impact of Nadia Bougarne'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 Nadia Bougarne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Bougarne more than expected).
Fields of papers citing papers by Nadia Bougarne
This network shows the impact of papers produced by Nadia Bougarne. 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 Nadia Bougarne. The network helps show where Nadia Bougarne may publish in the future.
Co-authorship network of co-authors of Nadia Bougarne
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Bougarne. A scholar is included among the top collaborators of Nadia Bougarne 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 Nadia Bougarne. Nadia Bougarne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | Molecular Actions of PPARα in Lipid Metabolism and Inflammationbreakdown → | 601 |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 44 | |
| 10 | 29 | |
| 11 | 28 | |
| 12 | The increasing complexity of glucocorticoid receptor signaling and regulation | 3 |
| 13 | 5 | |
| 14 | 62 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 53 | |
| 18 | 94 | |
| 19 | 20 | |
| 20 | 76 |
About Nadia Bougarne
Nadia Bougarne is a scholar working on Cancer Research, Applied Microbiology and Biotechnology and Oncology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (11 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (204 citations), Complementary and alternative medicine (97 citations) and Cancer Research (173 citations). Nadia Bougarne has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Karolien De Bosscher, Bart Staels, Sofie Desmet, Julie Deckers, David Ray, Guy Haegeman, Wim Vanden Berghe, René Delgado, Dagmar García-Rivera and Ilse M. Beck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.
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.