Marie C. Sadler
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 2
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- Genetic Associations and Epidemiology 9
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 3
- Genetic Syndromes and Imprinting 2
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- Epigenetics and DNA Methylation 5
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- Birth, Development, and Health 5
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Zoltán KutalikChiara AuwerxAlexandre ReymondEleonora PorcuVadim N. GladyshevAke T. LuKejun YingXia Shen
- Cited by
- AgingGeneticsBiological Psychiatry
- Journals
- Science (1 paper)Nature Communications (3 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- SwitzerlandUnited StatesEstonia
In The Last Decade
Marie C. Sadler
18 papers receiving 367 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 36
- Genetics 135
- Biological Psychiatry 9
- Molecular Biology 188
- Pediatrics, Perinatology and Child Health 53
Countries citing papers authored by Marie C. Sadler
This map shows the geographic impact of Marie C. Sadler'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 Marie C. Sadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie C. Sadler more than expected).
Fields of papers citing papers by Marie C. Sadler
This network shows the impact of papers produced by Marie C. Sadler. 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 Marie C. Sadler. The network helps show where Marie C. Sadler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie C. Sadler, 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 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 0 | |
| 7 | Causality-enriched epigenetic age uncouples damage and adaptationbreakdown → | 2024 | 72 |
| 8 | 2024 | 15 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 17 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 35 | |
| 17 | 2022 | 37 | |
| 18 | 2021 | 63 | |
| 19 | 2021 | 27 | |
| 20 | 2020 | 9 |
About Marie C. Sadler
Marie C. Sadler is a scholar working on Aging, Genetics and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 372 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Birth, Development, and Health (5 papers), Epigenetics and DNA Methylation (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Genetic Syndromes and Imprinting (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (36 citations), Genetics (135 citations) and Biological Psychiatry (9 citations). Marie C. Sadler has collaborated with scholars based in Switzerland, United States and Estonia. Frequent co-authors include Zoltán Kutalik, Chiara Auwerx, Alexandre Reymond, Eleonora Porcu, Vadim N. Gladyshev, Ake T. Lu, Kejun Ying, Xia Shen, Mahdi Moqri and Andres Metspalu. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.
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.