Max Käller
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 7
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
- Genetics 7
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Sverker Lundin (4 shared papers)Philip Ewels (3 shared papers)Måns Magnusson (1 shared paper)Joakim Lundeberg (13 shared papers)Afshin Ahmadian (10 shared papers)Francesco Vezzi (6 shared papers)Henrik Stranneheim (2 shared papers)Tobias Allander (1 shared paper)
- Journals
- PLoS ONE (3 papers)Scientific Reports (3 papers)Nucleic Acids Research (3 papers)Bioinformatics (2 papers)BMC Genomics (2 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Max Käller
30 papers receiving 5.3k citations
Max Käller's Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.4k
- Cancer Research 409
- Endocrinology 136
- Genetics 722
- Ecology 662
Countries citing papers authored by Max Käller
This map shows the geographic impact of Max Käller'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 Max Käller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Käller more than expected).
Fields of papers citing papers by Max Käller
This network shows the impact of papers produced by Max Käller. 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 Max Käller. The network helps show where Max Käller may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Käller, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MultiQC: summarize analysis results for multiple tools and samples in a single report Hit paper breakdown → | 2016 | 4897 |
| 2 | 2015 | 58 | |
| 3 | 2010 | 49 | |
| 4 | 2016 | 44 | |
| 5 | 2012 | 34 | |
| 6 | 2019 | 33 | |
| 7 | 2008 | 33 | |
| 8 | 2016 | 28 | |
| 9 | 2006 | 27 | |
| 10 | 2018 | 25 | |
| 11 | 2015 | 21 | |
| 12 | 2016 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2013 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2004 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2014 | 9 |
About Max Käller
Max Käller is a scholar working on Molecular Biology, Genetics, Plant Science, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genomic variations and chromosomal abnormalities (4 papers), Single-cell and spatial transcriptomics (3 papers), Biosensors and Analytical Detection (3 papers), Chromosomal and Genetic Variations (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cancer Research (409 citations), Endocrinology (136 citations), Genetics (722 citations) and Ecology (662 citations). Max Käller has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Sverker Lundin, Philip Ewels, Måns Magnusson, Joakim Lundeberg, Afshin Ahmadian, Francesco Vezzi, Henrik Stranneheim, Tobias Allander, Lars Arvestad and Björn Andersson. Their work appears in journals such as PLoS ONE, Scientific Reports, Nucleic Acids Research, Bioinformatics and BMC Genomics.
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.