Natalie De Geest

2.2k total citations
31 papers, 1.6k citations indexed

About

Natalie De Geest is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Natalie De Geest has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Plant Science. Recurrent topics in Natalie De Geest's work include Neurobiology and Insect Physiology Research (8 papers), Developmental Biology and Gene Regulation (7 papers) and CRISPR and Genetic Engineering (6 papers). Natalie De Geest is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Developmental Biology and Gene Regulation (7 papers) and CRISPR and Genetic Engineering (6 papers). Natalie De Geest collaborates with scholars based in Belgium, United States and France. Natalie De Geest's co-authors include Bassem A. Hassan, Peter Paul De Deyn, R. Frank Kooy, Simon Reeve, Charlotte D’Hulst, Debby Van Dam, Jiekun Yan, Johan H. van Es, Hans Clevers and Khalil Kass Youssef and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Natalie De Geest

31 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie De Geest Belgium 22 988 539 285 272 258 31 1.6k
Olivia Bermingham‐McDonogh United States 29 1.5k 1.5× 138 0.3× 244 0.9× 378 1.4× 154 0.6× 42 2.5k
Édouard W. Khandjian Canada 28 1.8k 1.8× 1.0k 1.9× 283 1.0× 117 0.4× 73 0.3× 44 2.3k
Angelika Doetzlhofer United States 18 1.1k 1.1× 112 0.2× 305 1.1× 91 0.3× 171 0.7× 24 1.9k
Jason R. Willer United States 19 1.2k 1.2× 507 0.9× 78 0.3× 97 0.4× 72 0.3× 31 1.8k
Jianyong Shou United States 24 1.2k 1.3× 188 0.3× 129 0.5× 307 1.1× 219 0.8× 41 2.2k
Tyler Ofstad United States 6 346 0.4× 247 0.5× 69 0.2× 414 1.5× 69 0.3× 6 910
Jacqueline Levilliers France 26 2.5k 2.6× 1.5k 2.7× 174 0.6× 280 1.0× 73 0.3× 45 4.1k
Wataru Shoji Japan 23 1.2k 1.2× 133 0.2× 66 0.2× 510 1.9× 115 0.4× 44 1.9k
Anna Szekely United States 14 1.8k 1.8× 470 0.9× 234 0.8× 326 1.2× 103 0.4× 22 2.3k
Andrew D. Bergemann United States 19 1.4k 1.4× 281 0.5× 31 0.1× 1.0k 3.8× 202 0.8× 29 2.2k

Countries citing papers authored by Natalie De Geest

Since Specialization
Citations

This map shows the geographic impact of Natalie De Geest'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 Natalie De Geest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie De Geest more than expected).

Fields of papers citing papers by Natalie De Geest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie De Geest. 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 Natalie De Geest. The network helps show where Natalie De Geest may publish in the future.

Co-authorship network of co-authors of Natalie De Geest

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

All Works

20 of 20 papers shown
1.
Casazza, Andrea, Lawrence Van Helleputte, Péter Pokreisz, et al.. (2022). PhAc-ALGP-Dox, a Novel Anticancer Prodrug with Targeted Activation and Improved Therapeutic Index. Molecular Cancer Therapeutics. 21(4). 568–581. 5 indexed citations
2.
Talón, Irene, Adrian Janiszewski, Juan Song, et al.. (2021). Enhanced chromatin accessibility contributes to X chromosome dosage compensation in mammals. Genome biology. 22(1). 302–302. 18 indexed citations
3.
Pósfai, Eszter, John P. Schell, Adrian Janiszewski, et al.. (2021). Evaluating totipotency using criteria of increasing stringency. Nature Cell Biology. 23(1). 49–60. 132 indexed citations
4.
Oliva, Carlos, Mark Fiers, Radoslaw K. Ejsmont, et al.. (2018). A Temporal Transcriptional Switch Governs Stem Cell Division, Neuronal Numbers, and Maintenance of Differentiation. Developmental Cell. 45(1). 53–66.e5. 29 indexed citations
5.
Koch, Marta, Natalie De Geest, Annelies Claeys, et al.. (2018). A Fat-Facets-Dscam1-JNK Pathway Enhances Axonal Growth in Development and after Injury. Frontiers in Cellular Neuroscience. 11. 416–416. 7 indexed citations
6.
Yan, Jiekun, Annelies Claeys, Natalie De Geest, et al.. (2017). Evolutionary changes in transcription factor coding sequence quantitatively alter sensory organ development and function. eLife. 6. 23 indexed citations
7.
Hu, Shu, Xi Ren, Natalie De Geest, et al.. (2016). The Drosophila neurogenin Tap functionally interacts with the Wnt-PCP pathway to regulate neuronal extension and guidance. Development. 143(15). 2760–2766. 30 indexed citations
8.
Quan, Xiao‐Jiang, Luca Tiberi, Annelies Claeys, et al.. (2016). Post-translational Control of the Temporal Dynamics of Transcription Factor Activity Regulates Neurogenesis. Cell. 164(3). 460–475. 44 indexed citations
9.
Oliva, Carlos, Alessia Soldano, Natalie De Geest, et al.. (2016). Regulation of Drosophila Brain Wiring by Neuropil Interactions via a Slit-Robo-RPTP Signaling Complex. Developmental Cell. 39(2). 267–278. 22 indexed citations
10.
Oliva, Carlos, et al.. (2014). Proper connectivity of Drosophila motion detector neurons requires Atonal function in progenitor cells. Neural Development. 9(1). 4–4. 19 indexed citations
11.
Hauwermeiren, Filip Van, Roosmarijn E. Vandenbroucke, Lynda Grine, et al.. (2014). TNFR1-induced lethal inflammation is mediated by goblet and Paneth cell dysfunction. Mucosal Immunology. 8(4). 828–840. 42 indexed citations
12.
Oliva, Carlos, Natalie De Geest, Mehmet Neset Özel, et al.. (2014). Regulation of branching dynamics by axon-intrinsic asymmetries in Tyrosine Kinase Receptor signaling. eLife. 3. e01699–e01699. 26 indexed citations
13.
Es, Johan H. van, et al.. (2010). Intestinal stem cells lacking the Math1 tumour suppressor are refractory to Notch inhibitors. Nature Communications. 1(1). 18–18. 108 indexed citations
14.
Keymeulen, Alexandra Van, Guilhem Mascré, Khalil Kass Youssef, et al.. (2009). Epidermal progenitors give rise to Merkel cells during embryonic development and adult homeostasis. The Journal of Cell Biology. 187(1). 91–100. 198 indexed citations
15.
Bossuyt, Wouter, Avedis Kazanjian, Natalie De Geest, et al.. (2009). Atonal homolog 1 Is a Tumor Suppressor Gene. PLoS Biology. 7(2). e1000039–e1000039. 89 indexed citations
16.
D’Hulst, Charlotte, Inge Heulens, Judith R. Brouwer, et al.. (2008). Expression of the GABAergic system in animal models for fragile X syndrome and fragile X associated tremor/ataxia syndrome (FXTAS). Brain Research. 1253. 176–183. 137 indexed citations
17.
Keldermans, Liesbeth, An Snellinx, Jean‐François Collet, et al.. (2005). Tissue distribution of the murine phosphomannomutases Pmm1 and Pmm2 during brain development. European Journal of Neuroscience. 22(4). 991–996. 10 indexed citations
18.
Gielens, Constant, Natalie De Geest, Frans Compernolle, & Gisèle Préaux. (2003). Glycosylation sites of hemocyanins of Helix pomatia and Sepia officinalis. Micron. 35(1-2). 99–100. 24 indexed citations
19.
Geest, Natalie De. (2002). Systemic and neurologic abnormalities distinguish the lysosomal disorders sialidosis and galactosialidosis in mice. Human Molecular Genetics. 11(12). 1455–1464. 94 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Olivia Bermingham‐McDonogh Breakdown of academic impact, for papers by Édouard W. Khandjian Breakdown of academic impact, for papers by Angelika Doetzlhofer Breakdown of academic impact, for papers by Jason R. Willer Breakdown of academic impact, for papers by Jianyong Shou Breakdown of academic impact, for papers by Tyler Ofstad Breakdown of academic impact, for papers by Jacqueline Levilliers Breakdown of academic impact, for papers by Wataru Shoji Breakdown of academic impact, for papers by Anna Szekely Breakdown of academic impact, for papers by Andrew D. Bergemann
Rankless by CCL
2026