Ann Schellens

599 total citations
7 papers, 133 citations indexed

About

Ann Schellens is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Ann Schellens has authored 7 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Ann Schellens's work include TGF-β signaling in diseases (4 papers), Cancer-related gene regulation (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Ann Schellens is often cited by papers focused on TGF-β signaling in diseases (4 papers), Cancer-related gene regulation (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Ann Schellens collaborates with scholars based in Belgium, Netherlands and Switzerland. Ann Schellens's co-authors include Danny Huylebroeck, Leo A. van Grunsven, Karine Verschueren, Jason Clements, Korneel Hens, Patrick Callaerts, Kristin Verschueren, Joanna Dzwonek, Anke Klippel and Olena Preobrazhenska and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bone and Joint Surgery and Human Molecular Genetics.

In The Last Decade

Ann Schellens

7 papers receiving 131 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ann Schellens Belgium 6 97 28 19 16 14 7 133
Lakshmi Paniker United States 8 85 0.9× 12 0.4× 28 1.5× 14 0.9× 15 1.1× 12 201
Karen Linnemannstöns Germany 7 133 1.4× 37 1.3× 9 0.5× 15 0.9× 12 0.9× 11 171
Görkem Garipler United States 9 247 2.5× 34 1.2× 11 0.6× 15 0.9× 17 1.2× 11 295
Hélène Polvèche France 10 190 2.0× 42 1.5× 17 0.9× 17 1.1× 11 0.8× 20 239
Rosalind Silverman-Gavrila Canada 10 216 2.2× 14 0.5× 14 0.7× 10 0.6× 20 1.4× 12 317
Paulo S. Pereira Portugal 11 196 2.0× 42 1.5× 10 0.5× 22 1.4× 21 1.5× 22 237
Kathryn Akong United States 8 168 1.7× 47 1.7× 8 0.4× 10 0.6× 7 0.5× 18 263
Sathiyanarayanan Manivannan United States 8 148 1.5× 35 1.3× 7 0.4× 33 2.1× 18 1.3× 21 238
Duygu Koldere Belgium 4 169 1.7× 24 0.9× 11 0.6× 31 1.9× 12 0.9× 4 199
Anupma Jha United States 10 252 2.6× 23 0.8× 15 0.8× 25 1.6× 6 0.4× 13 328

Countries citing papers authored by Ann Schellens

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ann Schellens

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Schellens. A scholar is included among the top collaborators of Ann Schellens 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 Ann Schellens. Ann Schellens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Dzwonek, Joanna, Olena Preobrazhenska, Andrea Conidi, et al.. (2009). Smad3 Is a Key Nonredundant Mediator of Transforming Growth Factor β Signaling in Nme Mouse Mammary Epithelial Cells. Molecular Cancer Research. 7(8). 1342–1353. 24 indexed citations
2.
Clements, Julie, et al.. (2009). A conserved role for the Drosophila Pax6 homolog Eyeless in differentiation and function of insulin-producing neurons. Journal of Neurogenetics. 23. 1 indexed citations
3.
Clements, Jason, et al.. (2008). Conserved role for the Drosophila Pax6 homolog Eyeless in differentiation and function of insulin-producing neurons. Proceedings of the National Academy of Sciences. 105(42). 16183–16188. 46 indexed citations
4.
Peeters, Hilde, Marianne L. Voz, Kristin Verschueren, et al.. (2006). Sesn1 is a novel gene for left–right asymmetry and mediating nodal signaling. Human Molecular Genetics. 15(22). 3369–3377. 11 indexed citations
5.
Collart, Clara, Jacques Remacle, Silvia M.L. Barabino, et al.. (2005). Smicl is a novel Smad interacting protein and cleavage and polyadenylation specificity factor associated protein. Genes to Cells. 10(9). 897–906. 12 indexed citations
6.
Grunsven, Leo A. van, Ann Schellens, Danny Huylebroeck, & Karine Verschueren. (2001). SIP1 (Smad interacting protein 1) and deltaEF1 (delta-crystallin enhancer binding factor) are structurally similar transcriptional repressors.. PubMed. 83-A Suppl 1(Pt 1). S40–7. 29 indexed citations
7.
Grunsven, Leo A. van, Ann Schellens, Danny Huylebroeck, & Karine Verschueren. (2001). SIP1 (Smad Interacting Protein 1) and δEF1 (δ-Crystallin Enhancer Binding Factor) are Structurally Similar Transcriptional Repressors. Journal of Bone and Joint Surgery. 83. S1–40–S1–47. 10 indexed citations

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.

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