Thomas Naert
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
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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 L. D. Deforce (2 shared papers)Jurgen Haustraete (1 shared paper)Wouter Steyaert (1 shared paper)Marko E. Horb (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of the American Society of Nephrology (2 papers)Nature Biotechnology (2 papers)Nature Communications (2 papers)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited States
In The Last Decade
Thomas Naert
21 papers receiving 445 citations
Peers
Comparison fields: 5 of 76
- Aging 29
- Biophysics 41
- Molecular Biology 326
- Genetics 100
- Structural Biology 5
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2016 | 52 | |
| 3 | 2018 | 34 | |
| 4 | 2015 | 31 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2024 | 24 | |
| 9 | 2019 | 21 | |
| 10 | 2020 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Thomas Naert
Thomas Naert is a scholar working on Aging, Ophthalmology, Molecular Biology, Biophysics and Genetics, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Retinal Development and Disorders (5 papers), Pluripotent Stem Cells Research (3 papers), Ocular Oncology and Treatments (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer-related gene regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (29 citations), Biophysics (41 citations), Molecular Biology (326 citations), Genetics (100 citations) and Structural Biology (5 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 L. D. Deforce, Jurgen Haustraete, Wouter Steyaert, Marko E. Horb, Soeren S. Lienkamp and Hong Thi Tran. Their work appears in journals such as Scientific Reports, Journal of the American Society of Nephrology, Nature Biotechnology, Nature Communications and Investigative Ophthalmology & Visual Science.
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.