Ann Schellens
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- TGF-β signaling in diseases 4
- Cancer-related gene regulation 2
- Kruppel-like factors research 1
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- Neurobiology and Insect Physiology Research 2
- Co-authors
- Danny Huylebroeck (5 shared papers)Leo A. van Grunsven (3 shared papers)Korneel Hens (2 shared papers)Karine Verschueren (2 shared papers)Jason Clements (1 shared paper)Patrick Callaerts (2 shared papers)Kristin Verschueren (3 shared papers)Andrea Conidi (1 shared paper)
- Journals
- Journal of Neurogenetics (1 paper)Human Molecular Genetics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Genes to Cells (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- BelgiumNetherlandsPoland
In The Last Decade
Ann Schellens
7 papers receiving 136 citations
Peers
Comparison fields: 5 of 43
- Aging 12
- Cellular and Molecular Neuroscience 30
- Molecular Biology 99
- Cancer Research 13
- Developmental Neuroscience 3
Countries citing papers authored by Ann Schellens
This map shows the geographic impact of Ann Schellens'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 Ann Schellens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Schellens more than expected).
Fields of papers citing papers by Ann Schellens
This network shows the impact of papers produced by Ann Schellens. 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 Ann Schellens. The network helps show where Ann Schellens may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Schellens, 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 | 2008 | 49 | |
| 2 | SIP1 (Smad interacting protein 1) and deltaEF1 (delta-crystallin enhancer binding factor) are structurally similar transcriptional repressors. | 2001 | 30 |
| 3 | 2009 | 24 | |
| 4 | 2006 | 12 | |
| 5 | 2005 | 12 | |
| 6 | 2001 | 11 | |
| 7 | A conserved role for the Drosophila Pax6 homolog Eyeless in differentiation and function of insulin-producing neurons | 2009 | 1 |
About Ann Schellens
Ann Schellens is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 7 papers that have together received 139 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Cancer-related gene regulation (2 papers), Neurobiology and Insect Physiology Research (2 papers), Plant Molecular Biology Research (1 paper), Circadian rhythm and melatonin (1 paper), Kruppel-like factors research (1 paper), Cancer Cells and Metastasis (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Aging (12 citations), Cellular and Molecular Neuroscience (30 citations), Molecular Biology (99 citations), Cancer Research (13 citations) and Developmental Neuroscience (3 citations). Ann Schellens has collaborated with scholars based in Belgium, Netherlands and Poland. Frequent co-authors include Danny Huylebroeck, Leo A. van Grunsven, Korneel Hens, Karine Verschueren, Jason Clements, Patrick Callaerts, Kristin Verschueren, Andrea Conidi, Andrew Stubbs and Maarten van Dinther. Their work appears in journals such as Journal of Neurogenetics, Human Molecular Genetics, Proceedings of the National Academy of Sciences, Genes to Cells and Molecular Cancer Research.
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.