Michaela Müller-McNicoll
- Molecular Biology top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Cancer Research top 5%
- Immunology
- Co-authors
- Karla M. NeugebauerBarbara PapadopoulouFrançois McNicollTomaž CurkHolger BrandlKathi ZarnackValentina BottiOliver Daniel Schwich
- Topics
- RNA Research and Splicing (29 papers)RNA modifications and cancer (18 papers)RNA and protein synthesis mechanisms (17 papers)
- Partner nations
- GermanyCanadaUnited Kingdom
In The Last Decade
Michaela Müller-McNicoll
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.7k
- Epidemiology 449
- Public Health, Environmental and Occupational Health 379
- Cancer Research 349
- Immunology 185
Countries citing papers authored by Michaela Müller-McNicoll
This map shows the geographic impact of Michaela Müller-McNicoll'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 Michaela Müller-McNicoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Müller-McNicoll more than expected).
Fields of papers citing papers by Michaela Müller-McNicoll
This network shows the impact of papers produced by Michaela Müller-McNicoll. 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 Michaela Müller-McNicoll. The network helps show where Michaela Müller-McNicoll may publish in the future.
Co-authorship network of co-authors of Michaela Müller-McNicoll
This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Müller-McNicoll. A scholar is included among the top collaborators of Michaela Müller-McNicoll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michaela Müller-McNicoll. Michaela Müller-McNicoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 48 | |
| 10 | 8 | |
| 11 | 29 | |
| 12 | 1 | |
| 13 | 57 | |
| 14 | 77 | |
| 15 | 7 | |
| 16 | 220 | |
| 17 | 14 | |
| 18 | 80 | |
| 19 | 142 | |
| 20 | 33 |
About Michaela Müller-McNicoll
Michaela Müller-McNicoll is a scholar working on Molecular Biology, Cancer Research and Epidemiology, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (29 papers), RNA modifications and cancer (18 papers) and RNA and protein synthesis mechanisms (17 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cancer Research (349 citations) and Public Health, Environmental and Occupational Health (379 citations). Michaela Müller-McNicoll has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Karla M. Neugebauer, Barbara Papadopoulou, François McNicoll, Tomaž Curk, Holger Brandl, Kathi Zarnack, Valentina Botti, Oliver Daniel Schwich, Ina Poser and Jernej Ule. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.
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.