Benoît De Crombrugghe
- Molecular Biology top 0.05%
- Genetics top 0.05%
- Rheumatology top 0.02%
- Cancer Research top 0.1%
- Oncology top 0.5%
- Co-authors
- Richard R. BehringerZhaoping ZhangJian Min DengKazuhisa NakashimaVéronique LefebvreSankar N. MaityIra PastanHaruhiko Akiyama
- Topics
- Cell Adhesion Molecules Research (61 papers)RNA Research and Splicing (51 papers)Osteoarthritis Treatment and Mechanisms (39 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Benoît De Crombrugghe
259 papers receiving 33.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 23.1k
- Genetics 8.7k
- Rheumatology 7.4k
- Cancer Research 4.9k
- Oncology 4.0k
Countries citing papers authored by Benoît De Crombrugghe
This map shows the geographic impact of Benoît De Crombrugghe'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 Benoît De Crombrugghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît De Crombrugghe more than expected).
Fields of papers citing papers by Benoît De Crombrugghe
This network shows the impact of papers produced by Benoît De Crombrugghe. 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 Benoît De Crombrugghe. The network helps show where Benoît De Crombrugghe may publish in the future.
Co-authorship network of co-authors of Benoît De Crombrugghe
This figure shows the co-authorship network connecting the top 25 collaborators of Benoît De Crombrugghe. A scholar is included among the top collaborators of Benoît De Crombrugghe 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 Benoît De Crombrugghe. Benoît De Crombrugghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 33 | |
| 3 | 257 | |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 75 | |
| 7 | 163 | |
| 8 | 104 | |
| 9 | 74 | |
| 10 | 78 | |
| 11 | A new long form of SOX5, SOX6, and SOX9 are co-expressed in chondrocytes and cooperatively activate the type ii collagen gene | 1 |
| 12 | 140 | |
| 13 | SOX9 Is a Potent Activator of the Chondrocyte-Specific Enhancer of the Proα1(II) Collagen Genebreakdown → | 934 |
| 14 | 72 | |
| 15 | 41 | |
| 16 | 26 | |
| 17 | 149 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | 27 |
About Benoît De Crombrugghe
Benoît De Crombrugghe is a scholar working on Immunology and Allergy, Rheumatology and Cancer Research, having authored 261 papers that have together received 34.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (61 papers), RNA Research and Splicing (51 papers) and Osteoarthritis Treatment and Mechanisms (39 papers). The work is most often cited by research in Immunology and Allergy (3.5k citations), Rheumatology (7.4k citations) and Molecular Biology (23.1k citations). Benoît De Crombrugghe has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Richard R. Behringer, Zhaoping Zhang, Jian Min Deng, Kazuhisa Nakashima, Véronique Lefebvre, Sankar N. Maity, Ira Pastan, Haruhiko Akiyama, Sankar Adhya and Heidi Eberspaecher. Their work appears in journals such as Nature, Science and Cell.
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.