Dominik Lutter
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Signal Processing top 5%
- Speech and Audio Processing
- Blind Source Separation Techniques
Papers in
-
- Gene expression and cancer classification 8
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- Physiology 10
- Adipose Tissue and Metabolism 7
- Co-authors
- Fabian J. Theis (12 shared papers)Wolfgang Hammerschmidt (4 shared papers)Elmar W. Lang (10 shared papers)Jan Krumsiek (2 shared papers)Carsten Marr (1 shared paper)Mitchell Hayes (2 shared papers)Manuel Albanese (2 shared papers)Jonathan Hoser (2 shared papers)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)BMC Systems Biology (2 papers)Molecular Metabolism (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Dominik Lutter
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 258
- Signal Processing 116
- Physiology 240
- Oncology 239
- Molecular Biology 503
Countries citing papers authored by Dominik Lutter
This map shows the geographic impact of Dominik Lutter'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 Dominik Lutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Lutter more than expected).
Fields of papers citing papers by Dominik Lutter
This network shows the impact of papers produced by Dominik Lutter. 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 Dominik Lutter. The network helps show where Dominik Lutter may publish in the future.
Co-authors
The 25 scholars most cited alongside Dominik Lutter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2016 | 127 | |
| 3 | 2010 | 109 | |
| 4 | 2016 | 105 | |
| 5 | 2011 | 105 | |
| 6 | 2020 | 62 | |
| 7 | 2013 | 62 | |
| 8 | 2011 | 49 | |
| 9 | 2009 | 38 | |
| 10 | 2015 | 36 | |
| 11 | 2022 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2008 | 27 | |
| 14 | 2022 | 24 | |
| 15 | 2016 | 21 | |
| 16 | 2014 | 19 | |
| 17 | 2013 | 14 | |
| 18 | 2008 | 14 | |
| 19 | 2024 | 12 | |
| 20 | 2020 | 11 |
About Dominik Lutter
Dominik Lutter is a scholar working on Molecular Biology, Physiology, Cancer Research, Artificial Intelligence and Immunology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Adipose Tissue and Metabolism (7 papers), MicroRNA in disease regulation (5 papers), Machine Learning in Bioinformatics (5 papers), Bioinformatics and Genomic Networks (4 papers), Viral-associated cancers and disorders (3 papers), RNA Research and Splicing (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Cancer Research (258 citations), Signal Processing (116 citations), Physiology (240 citations), Oncology (239 citations) and Molecular Biology (503 citations). Dominik Lutter has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Fabian J. Theis, Wolfgang Hammerschmidt, Elmar W. Lang, Jan Krumsiek, Carsten Marr, Mitchell Hayes, Manuel Albanese, Jonathan Hoser, Andreas Moosmann and Maximilian Hastreiter. Their work appears in journals such as Nature Communications, Nucleic Acids Research, BMC Systems Biology, Molecular Metabolism and PLoS ONE.
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.