Clara Collart
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- TGF-β signaling in diseases
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- DNA Repair Mechanisms
- Pluripotent Stem Cells Research
- Congenital heart defects research
Papers in
-
- TGF-β signaling in diseases 4
- Kruppel-like factors research 3
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
- Congenital heart defects research 2
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
-
- Microtubule and mitosis dynamics 2
- Co-authors
- James C. Smith (10 shared papers)Philip Zegerman (2 shared papers)Kristin Verschueren (4 shared papers)Danny Huylebroeck (4 shared papers)L Nelles (3 shared papers)Gunther Wuytens (2 shared papers)Jacques Remacle (2 shared papers)H Kraft (1 shared paper)
- Journals
- Development (3 papers)PLoS Genetics (2 papers)Developmental Cell (1 paper)Journal of Biological Chemistry (1 paper)Genes to Cells (1 paper)
- Partner nations
- United KingdomBelgiumSwitzerland
In The Last Decade
Clara Collart
13 papers receiving 842 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 717
- Aging 18
- Cancer Research 88
- Cell Biology 95
- Developmental Neuroscience 20
Countries citing papers authored by Clara Collart
This map shows the geographic impact of Clara Collart'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 Clara Collart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Collart more than expected).
Fields of papers citing papers by Clara Collart
This network shows the impact of papers produced by Clara Collart. 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 Clara Collart. The network helps show where Clara Collart may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Collart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 414 | |
| 2 | 2013 | 169 | |
| 3 | 2014 | 81 | |
| 4 | 2011 | 34 | |
| 5 | 2006 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2007 | 23 | |
| 8 | 2001 | 18 | |
| 9 | 2005 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2005 | 12 | |
| 12 | 2009 | 5 | |
| 13 | 2005 | 1 |
About Clara Collart
Clara Collart is a scholar working on Molecular Biology, Cell Biology, Genetics, Aging and Plant Science, having authored 13 papers that have together received 849 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Kruppel-like factors research (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (2 papers), Congenital heart defects research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (717 citations), Aging (18 citations), Cancer Research (88 citations), Cell Biology (95 citations) and Developmental Neuroscience (20 citations). Clara Collart has collaborated with scholars based in United Kingdom, Belgium and Switzerland. Frequent co-authors include James C. Smith, Philip Zegerman, Kristin Verschueren, Danny Huylebroeck, L Nelles, Gunther Wuytens, Jacques Remacle, H Kraft, Ming-Tsan Su and Rolf Bodmer. Their work appears in journals such as Development, PLoS Genetics, Developmental Cell, Journal of Biological Chemistry and Genes to Cells.
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.