Nikola S. Mueller
- Biophysics top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 7
- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 4
- Metabolomics and Mass Spectrometry Studies 3
- Microbial Metabolic Engineering and Bioproduction 3
- Dermatology top 5%
- Dermatology and Skin Diseases 3
- Co-authors
- Fabian J. TheisMaria MirceaGökçen EraslanLukas M. SimonLaleh HaghverdiChristoph W. TurckSteffen SassFelix Herth
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Nikola S. Mueller
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Biophysics 168
- Cancer Research 310
- Molecular Biology 1.0k
- Biological Psychiatry 27
- Dermatology 76
Countries citing papers authored by Nikola S. Mueller
This map shows the geographic impact of Nikola S. Mueller'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 Nikola S. Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikola S. Mueller more than expected).
Fields of papers citing papers by Nikola S. Mueller
This network shows the impact of papers produced by Nikola S. Mueller. 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 Nikola S. Mueller. The network helps show where Nikola S. Mueller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikola S. Mueller, 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 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 2 | |
| 5 | Single-cell RNA-seq denoising using a deep count autoencoderbreakdown → | 2019 | 611 |
| 6 | 2019 | 18 | |
| 7 | 2018 | 59 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 83 | |
| 10 | 2017 | 113 | |
| 11 | 2017 | 37 | |
| 12 | 2016 | 49 | |
| 13 | 2016 | 57 | |
| 14 | 2015 | 25 | |
| 15 | 2015 | 20 | |
| 16 | 2012 | 21 | |
| 17 | 2011 | 57 | |
| 18 | 2008 | 25 | |
| 19 | 2007 | 10 | |
| 20 | 2003 | 5 |
About Nikola S. Mueller
Nikola S. Mueller is a scholar working on Dermatology, Molecular Biology and Cancer Research, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Dermatology and Skin Diseases (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Biophysics (168 citations), Cancer Research (310 citations) and Molecular Biology (1.0k citations). Nikola S. Mueller has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Fabian J. Theis, Maria Mircea, Gökçen Eraslan, Lukas M. Simon, Laleh Haghverdi, Christoph W. Turck, Steffen Sass, Felix Herth, Michael Thomas and Hendrik Dienemann. Their work appears in journals such as Bioinformatics, PLoS ONE, Cell Metabolism, Electrophoresis and Journal of Psychiatric Research.
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.