Michael Stadler
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Retinoids in leukemia and cellular processes
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 7
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Andrew Fire (6 shared papers)Michael B. Eisen (5 shared papers)Mustafa Mir (4 shared papers)Xavier Darzacq (3 shared papers)Jenna E. Haines (2 shared papers)Frédérique Quignon (1 shared paper)Marcel Koken (1 shared paper)Mounira K. Chelbi‐Alix (1 shared paper)
- Journals
- Genome Research (3 papers)eLife (2 papers)Developmental Cell (1 paper)PLoS ONE (1 paper)RNA (1 paper)
- Partner nations
- United StatesJapanMorocco
In The Last Decade
Michael Stadler
13 papers receiving 929 citations
Peers
Comparison fields: 5 of 58
- Aging 79
- Molecular Biology 821
- Biophysics 54
- Hematology 59
- Immunology 111
Countries citing papers authored by Michael Stadler
This map shows the geographic impact of Michael Stadler'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 Michael Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Stadler more than expected).
Fields of papers citing papers by Michael Stadler
This network shows the impact of papers produced by Michael Stadler. 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 Michael Stadler. The network helps show where Michael Stadler may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Stadler, 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 | Transcriptional induction of the PML growth suppressor gene by interferons is mediated through an ISRE and a GAS element. | 1995 | 234 |
| 2 | 2018 | 152 | |
| 3 | 2011 | 143 | |
| 4 | 2017 | 133 | |
| 5 | 2017 | 67 | |
| 6 | 2012 | 50 | |
| 7 | 2013 | 42 | |
| 8 | 2013 | 37 | |
| 9 | 2010 | 34 | |
| 10 | 2018 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 6 | |
| 13 | 2018 | 4 |
About Michael Stadler
Michael Stadler is a scholar working on Molecular Biology, Aging, Plant Science, Ecology and Oncology, having authored 13 papers that have together received 934 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Plant Molecular Biology Research (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Aging (79 citations), Molecular Biology (821 citations), Biophysics (54 citations), Hematology (59 citations) and Immunology (111 citations). Michael Stadler has collaborated with scholars based in United States, Japan and Morocco. Frequent co-authors include Andrew Fire, Michael B. Eisen, Mustafa Mir, Xavier Darzacq, Jenna E. Haines, Frédérique Quignon, Marcel Koken, Mounira K. Chelbi‐Alix, Christian Schindler and Letizia Venturini. Their work appears in journals such as Genome Research, eLife, Developmental Cell, PLoS ONE and RNA.
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.