Thomas Naert

694 total citations
20 papers, 262 citations indexed

About

Thomas Naert is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Thomas Naert has authored 20 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Ophthalmology and 3 papers in Genetics. Recurrent topics in Thomas Naert's work include CRISPR and Genetic Engineering (11 papers), Retinal Development and Disorders (5 papers) and Pluripotent Stem Cells Research (3 papers). Thomas Naert is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Retinal Development and Disorders (5 papers) and Pluripotent Stem Cells Research (3 papers). Thomas Naert collaborates with scholars based in Belgium, Switzerland and United States. Thomas Naert's co-authors include Kris Vleminckx, David Creytens, Andy Willaert, Annekatrien Boel, Dieter Deforce, Jurgen Haustraete, Hong Thi Tran, Wouter Steyaert, Paul Coucke and Sarah Geurs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Thomas Naert

19 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Naert Belgium 10 201 50 36 25 21 20 262
Jay F. Sarthy United States 10 433 2.2× 36 0.7× 18 0.5× 18 0.7× 21 1.0× 24 531
Abigail Gibson Australia 7 291 1.4× 65 1.3× 84 2.3× 7 0.3× 19 0.9× 7 370
Kian Kalhor United States 3 223 1.1× 29 0.6× 13 0.4× 10 0.4× 34 1.6× 4 258
Victor Olariu Sweden 10 246 1.2× 32 0.6× 21 0.6× 5 0.2× 18 0.9× 19 293
Kathleen Leeper United States 3 226 1.1× 32 0.6× 13 0.4× 13 0.5× 38 1.8× 3 255
Michael F. Z. Wang United States 7 329 1.6× 23 0.5× 81 2.3× 10 0.4× 24 1.1× 9 437
Aurélien Perrin France 9 291 1.4× 86 1.7× 43 1.2× 11 0.4× 19 0.9× 13 349
Pierre Pouchin France 10 401 2.0× 47 0.9× 55 1.5× 9 0.4× 7 0.3× 15 467
Nathalie Ly France 6 323 1.6× 38 0.8× 116 3.2× 7 0.3× 26 1.2× 10 433
Javier Martín‐González Denmark 10 298 1.5× 40 0.8× 31 0.9× 11 0.4× 10 0.5× 19 433

Countries citing papers authored by Thomas Naert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Naert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Naert. 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 Thomas Naert. The network helps show where Thomas Naert may publish in the future.

Co-authorship network of co-authors of Thomas Naert

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Naert. A scholar is included among the top collaborators of Thomas Naert 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 Thomas Naert. Thomas Naert 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.
Naert, Thomas, Shuting Han, Philipp Bethge, et al.. (2025). Precise, predictable genome integrations by deep-learning-assisted design of microhomology-based templates. Nature Biotechnology. 2 indexed citations
2.
Ceroni, Fabiola, Richard Holt, Елена А. Сорокина, et al.. (2024). Deletion upstream of MAB21L2 highlights the importance of evolutionarily conserved non-coding sequences for eye development. Nature Communications. 15(1). 9245–9245. 2 indexed citations
3.
Voigt, Fabian F., Thomas Naert, Sven Hildebrand, et al.. (2023). Reflective multi-immersion microscope objectives inspired by the Schmidt telescope. Nature Biotechnology. 42(1). 65–71. 10 indexed citations
4.
Naert, Thomas, Sylviane Dewaele, Gert Van Isterdael, et al.. (2023). Mutations in the histone methyltransferase Ezh2 drive context-dependent leukemia in Xenopus tropicalis. Leukemia. 37(12). 2404–2413. 2 indexed citations
5.
Kaminski, Michael M., et al.. (2022). HNF1B Alters an Evolutionarily Conserved Nephrogenic Program of Target Genes. Journal of the American Society of Nephrology. 34(3). 412–432. 10 indexed citations
6.
Lienkamp, Soeren S., et al.. (2021). The people behind the papers – Thomas Naert and Soeren Lienkamp. Development. 148(21). 1–3. 3 indexed citations
7.
Naert, Thomas, Matt van de Rijn, Benjamin A. Alman, et al.. (2021). CRISPR-SID: Identifying EZH2 as a druggable target for desmoid tumors via in vivo dependency mapping. Proceedings of the National Academy of Sciences. 118(47). 9 indexed citations
8.
Naert, Thomas, Özgün Çiçek, Michael M. Kaminski, et al.. (2021). Deep learning is widely applicable to phenotyping embryonic development and disease. Development. 148(21). 21 indexed citations
9.
Naert, Thomas, Toon Rosseel, Dario Priem, et al.. (2020). Functional characterization of a Xenopus tropicalis knockout and a human cellular model of RCBTB1-associated inherited retinal disease shows involvement of RCBTB1 in the cellular response to oxidative stress. Investigative Ophthalmology & Visual Science. 61(7). 1125–1125. 1 indexed citations
10.
Naert, Thomas, Marcin Wlizla, Annekatrien Boel, et al.. (2020). Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos. Scientific Reports. 10(1). 14662–14662. 30 indexed citations
11.
Naert, Thomas, Gert Van Isterdael, Dieter Deforce, et al.. (2020). RBL1 (p107) functions as tumor suppressor in glioblastoma and small-cell pancreatic neuroendocrine carcinoma in Xenopus tropicalis. Oncogene. 39(13). 2692–2706. 12 indexed citations
12.
Kariminejad, Ariana, Emmanuelle Szenker‐Ravi, Homa Tajsharghi, et al.. (2019). Homozygous Null TBX4 Mutations Lead to Posterior Amelia with Pelvic and Pulmonary Hypoplasia. The American Journal of Human Genetics. 105(6). 1294–1301. 16 indexed citations
13.
Naert, Thomas & Kris Vleminckx. (2018). CRISPR/Cas9 disease models in zebrafish and Xenopus: The genetic renaissance of fish and frogs. Drug Discovery Today Technologies. 28. 41–52. 31 indexed citations
14.
Naert, Thomas & Kris Vleminckx. (2018). CRISPR/Cas9-Mediated Knockout of Rb1 in Xenopus tropicalis. Methods in molecular biology. 1726. 177–193. 4 indexed citations
15.
Naert, Thomas & Kris Vleminckx. (2018). Cancer Models in Xenopus tropicalis by CRISPR/Cas9 Mediated Knockout of Tumor Suppressors. Methods in molecular biology. 1865. 147–161.
16.
Naert, Thomas & Kris Vleminckx. (2018). Genotyping of CRISPR/Cas9 Genome Edited Xenopus tropicalis. Methods in molecular biology. 1865. 67–82. 6 indexed citations
17.
Naert, Thomas & Kris Vleminckx. (2018). Methods for CRISPR/Cas9 Xenopus tropicalis Tissue-Specific Multiplex Genome Engineering. Methods in molecular biology. 1865. 33–54. 6 indexed citations
18.
Naert, Thomas, et al.. (2017). TALENs and CRISPR/Cas9 fuel genetically engineered clinically relevant Xenopus tropicalis tumor models. genesis. 55(1-2). 23 indexed citations
19.
Naert, Thomas, Jurgen Haustraete, Annekatrien Boel, et al.. (2016). CRISPR/Cas9 mediated knockout of rb1 and rbl1 leads to rapid and penetrant retinoblastoma development in Xenopus tropicalis. Scientific Reports. 6(1). 35264–35264. 48 indexed citations
20.
Naert, Thomas, Hong Thi Tran, Griet Van Imschoot, et al.. (2015). TALEN-mediated apc mutation in Xenopus tropicalis phenocopies familial adenomatous polyposis. Oncoscience. 2(5). 555–566. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jay F. Sarthy Breakdown of academic impact, for papers by Abigail Gibson Breakdown of academic impact, for papers by Kian Kalhor Breakdown of academic impact, for papers by Victor Olariu Breakdown of academic impact, for papers by Kathleen Leeper Breakdown of academic impact, for papers by Michael F. Z. Wang Breakdown of academic impact, for papers by Aurélien Perrin Breakdown of academic impact, for papers by Pierre Pouchin Breakdown of academic impact, for papers by Nathalie Ly Breakdown of academic impact, for papers by Javier Martín‐González
Rankless by CCL
2026