Maarten H. Geurts
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 2
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 7
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- Protein Degradation and Inhibitors 2
- RNA and protein synthesis mechanisms 2
- Genetics top 5%
- Oncology top 10%
- CAR-T cell therapy research 2
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- SARS-CoV-2 and COVID-19 Research 2
- Journals
- Nature Communications (2 papers)Nature (2 papers)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- NetherlandsSwitzerlandUnited States
In The Last Decade
Maarten H. Geurts
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Business and International Management 160
- Aging 120
- Molecular Biology 1.5k
- Genetics 353
- Oncology 286
Countries citing papers authored by Maarten H. Geurts
This map shows the geographic impact of Maarten H. Geurts'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 Maarten H. Geurts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten H. Geurts more than expected).
Fields of papers citing papers by Maarten H. Geurts
This network shows the impact of papers produced by Maarten H. Geurts. 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 Maarten H. Geurts. The network helps show where Maarten H. Geurts may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maarten H. Geurts, 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 | 2024 | 5 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 27 | |
| 6 | 2023 | 62 | |
| 7 | 2023 | 32 | |
| 8 | Engineered human hepatocyte organoids enable CRISPR-based target discovery and drug screening for steatosisbreakdown → | 2023 | 125 |
| 9 | 2023 | 2 | |
| 10 | 2023 | 56 | |
| 11 | 2023 | 23 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 36 | |
| 14 | 2021 | 58 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 102 | |
| 17 | 2019 | 139 | |
| 18 | Evolved Cas9 variants with broad PAM compatibility and high DNA specificitybreakdown → | 2018 | 1155 |
About Maarten H. Geurts
Maarten H. Geurts is a scholar working on Aging, Physiology and Biophysics, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pluripotent Stem Cells Research (2 papers), CAR-T cell therapy research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Renal and related cancers (2 papers), Protein Degradation and Inhibitors (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Business and International Management (160 citations), Aging (120 citations) and Molecular Biology (1.5k citations). Maarten H. Geurts has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Xue Gao, Zhi Lin, Ning Sun, Liwei Chen, David R. Liu, Shannon M. Miller, Weixin Tang, Johnny H. Hu, Holly A. Rees and Hans Clevers. Their work appears in journals such as Nature Communications, Nature, JNCI Journal of the National Cancer Institute, Life Science Alliance and EMBO Reports.
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.