Clara Collart
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- TGF-β signaling in diseases
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- DNA Repair Mechanisms
- Pluripotent Stem Cells Research
- Congenital heart defects research
Papers in
-
- Kruppel-like factors research 4
- TGF-β signaling in diseases 4
- Developmental Biology and Gene Regulation 4
- Congenital heart defects research 3
- RNA Research and Splicing 3
- 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)Danny Huylebroeck (4 shared papers)Kristin Verschueren (4 shared papers)L Nelles (3 shared papers)Jacques Remacle (2 shared papers)Gunther Wuytens (2 shared papers)Ming-Tsan Su (1 shared paper)
- Journals
- Development (3 papers)PLoS Genetics (2 papers)Science (1 paper)Journal of Biological Chemistry (1 paper)BMC Developmental Biology (1 paper)
- Partner nations
- United KingdomBelgiumSwitzerland
In The Last Decade
Clara Collart
13 papers receiving 836 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 733
- Aging 18
- Cancer Research 99
- Cell Biology 97
- 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 | 413 | |
| 2 | 2013 | 167 | |
| 3 | 2014 | 79 | |
| 4 | 2011 | 34 | |
| 5 | 2006 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2007 | 23 | |
| 8 | 2001 | 18 | |
| 9 | 2005 | 15 | |
| 10 | 2005 | 12 | |
| 11 | 2021 | 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 844 indexed citations. Recurring topics across this work include Kruppel-like factors research (4 papers), TGF-β signaling in diseases (4 papers), Developmental Biology and Gene Regulation (4 papers), Congenital heart defects research (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (733 citations), Aging (18 citations), Cancer Research (99 citations), Cell Biology (97 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, Danny Huylebroeck, Kristin Verschueren, L Nelles, Jacques Remacle, Gunther Wuytens, Ming-Tsan Su, Betty S. Baker and Przemko Tylżanowski. Their work appears in journals such as Development, PLoS Genetics, Science, Journal of Biological Chemistry and BMC Developmental Biology.
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.