Danielle Thierry‐Mieg
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
Papers in
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
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- RNA Research and Splicing 8
- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 5
- Molecular Biology Techniques and Applications 4
- Co-authors
- Jean Thierry‐MiegPaul CarterLisa MatthewsGrzegorz M. BoratynBen BusbyThomas MaddenChristopher D. LinkAlessandro Guffanti
- Journals
- Nature Genetics (2 papers)Genetics (2 papers)Scientific Data (2 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Danielle Thierry‐Mieg
32 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 123
- Aging 551
- Molecular Biology 2.0k
- Cell Biology 341
- Immunology 377
- Cancer Research 247
Countries citing papers authored by Danielle Thierry‐Mieg
This map shows the geographic impact of Danielle Thierry‐Mieg'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 Danielle Thierry‐Mieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Thierry‐Mieg more than expected).
Fields of papers citing papers by Danielle Thierry‐Mieg
This network shows the impact of papers produced by Danielle Thierry‐Mieg. 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 Danielle Thierry‐Mieg. The network helps show where Danielle Thierry‐Mieg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle Thierry‐Mieg, 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 | 2020 | 33 | |
| 3 | 2019 | 191 | |
| 4 | 2019 | 18 | |
| 5 | 2014 | 21 | |
| 6 | 2014 | 48 | |
| 7 | 2012 | 52 | |
| 8 | 2009 | 288 | |
| 9 | 2009 | 59 | |
| 10 | 2009 | 101 | |
| 11 | 2006 | 485 | |
| 12 | 2005 | 6 | |
| 13 | 2001 | 134 | |
| 14 | 2001 | 141 | |
| 15 | 1999 | 47 | |
| 16 | 1999 | 77 | |
| 17 | 1999 | 124 | |
| 18 | 1993 | 2 | |
| 19 | 1993 | 76 | |
| 20 | 1988 | 64 |
About Danielle Thierry‐Mieg
Danielle Thierry‐Mieg is a scholar working on Aging, Molecular Biology, Cell Biology, Cancer Research and Sensory Systems, having authored 33 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers), Molecular Biology Techniques and Applications (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Aging (551 citations), Molecular Biology (2.0k citations), Cell Biology (341 citations), Immunology (377 citations) and Cancer Research (247 citations). Danielle Thierry‐Mieg has collaborated with scholars based in United States, France and China. Frequent co-authors include Jean Thierry‐Mieg, Paul Carter, Lisa Matthews, Grzegorz M. Boratyn, Ben Busby, Thomas Madden, Christopher D. Link, Alessandro Guffanti, Stuart K. Kim and Thomas Blumenthal. Their work appears in journals such as Nature Genetics, Genetics, Scientific Data, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.