Michael M. Müller
Impact in
- Immunology top 1%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Interference and Gene Delivery 4
- DNA and Nucleic Acid Chemistry 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Photosynthetic Processes and Mechanisms 2
- Genomics and Chromatin Dynamics 2
- Genetics 3
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Walter SchaffnerPatrick MatthiasEdgar SchreiberSiegfried RuppertThomas GersterGunnar WestinG. SchaffnerE M DeRobertis
- Journals
- Nucleic Acids Research (4 papers)Planta (2 papers)Nature (2 papers)Gene (1 paper)Scientific Reports (1 paper)
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Michael M. Müller
13 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 1.6k
- Cancer Research 1.0k
- Molecular Biology 3.3k
- Genetics 859
- Oncology 835
Countries citing papers authored by Michael M. Müller
This map shows the geographic impact of Michael M. Müller'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 M. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Müller more than expected).
Fields of papers citing papers by Michael M. Müller
This network shows the impact of papers produced by Michael M. Müller. 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 M. Müller. The network helps show where Michael M. Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael M. Müller, 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 | 2019 | 20 | |
| 2 | 2013 | 35 | |
| 3 | 1989 | 122 | |
| 4 | Rapid detection of octamer binding proteins with ‘mini extracts’, prepared from a small number of cells Hit paper breakdown → | 1989 | 4065 |
| 5 | 1989 | 88 | |
| 6 | 1988 | 130 | |
| 7 | 1988 | 107 | |
| 8 | 1988 | 465 | |
| 9 | 1987 | 13 | |
| 10 | 1987 | 241 | |
| 11 | 1984 | 96 | |
| 12 | 1980 | 23 | |
| 13 | 1980 | 13 |
About Michael M. Müller
Michael M. Müller is a scholar working on Molecular Biology, Genetics, Immunology, Renewable Energy, Sustainability and the Environment and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers), DNA and Nucleic Acid Chemistry (2 papers), CRISPR and Genetic Engineering (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA Research and Splicing (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology (1.6k citations), Cancer Research (1.0k citations), Molecular Biology (3.3k citations), Genetics (859 citations) and Oncology (835 citations). Michael M. Müller has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Walter Schaffner, Patrick Matthias, Edgar Schreiber, Siegfried Ruppert, Thomas Gerster, Gunnar Westin, G. Schaffner, E M DeRobertis, Andrés E. Carrasco and Sandro Rusconi. Their work appears in journals such as Nucleic Acids Research, Planta, Nature, Gene and Scientific 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.