Thomas Naert
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Cell Image Analysis Techniques
Papers in
-
- CRISPR and Genetic Engineering 11
- Retinal Development and Disorders 5
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 2
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- Ocular Oncology and Treatments 3
- Co-authors
- Kris Vleminckx (16 shared papers)David Creytens (5 shared papers)Andy Willaert (2 shared papers)Annekatrien Boel (2 shared papers)Dieter Deforce (2 shared papers)Wouter Steyaert (1 shared paper)Hong Thi Tran (2 shared papers)Jurgen Haustraete (1 shared paper)
- Journals
- Scientific Reports (2 papers)Development (2 papers)Nature Biotechnology (2 papers)The American Journal of Human Genetics (1 paper)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited States
In The Last Decade
Thomas Naert
19 papers receiving 259 citations
Peers
Comparison fields: 5 of 57
- Aging 25
- Biophysics 21
- Molecular Biology 201
- Cell Biology 36
- Genetics 50
Countries citing papers authored by Thomas Naert
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
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-authors
The 25 scholars most cited alongside Thomas Naert, 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 | 2016 | 48 | |
| 2 | 2018 | 31 | |
| 3 | 2020 | 30 | |
| 4 | 2015 | 26 | |
| 5 | 2017 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 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 | 2020 | 1 |
| 20 | 2018 | 0 |
About Thomas Naert
Thomas Naert is a scholar working on Molecular Biology, Ophthalmology, Genetics, Aging and Cell Biology, having authored 20 papers that have together received 262 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Retinal Development and Disorders (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Ocular Oncology and Treatments (3 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Chromosomal and Genetic Variations (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Aging (25 citations), Biophysics (21 citations), Molecular Biology (201 citations), Cell Biology (36 citations) and Genetics (50 citations). Thomas Naert has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Kris Vleminckx, David Creytens, Andy Willaert, Annekatrien Boel, Dieter Deforce, Wouter Steyaert, Hong Thi Tran, Jurgen Haustraete, Marko E. Horb and Paul Coucke. Their work appears in journals such as Scientific Reports, Development, Nature Biotechnology, The American Journal of Human Genetics and Journal of the American Society of Nephrology.
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.