Peter Krusche
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Aging top 5%
Papers in
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- Network Packet Processing and Optimization 3
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- Algorithms and Data Compression 7
- Co-authors
- Sangtae Kim (1 shared paper)Eunho Noh (1 shared paper)Aaron L. Halpern (1 shared paper)Christopher T. Saunders (1 shared paper)Morten Källberg (1 shared paper)Mitchell A. Bekritsky (1 shared paper)Doruk Beyter (1 shared paper)Konrad Scheffler (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Bioinformatics (1 paper)BMC Evolutionary Biology (1 paper)BMC Medical Research Methodology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Peter Krusche
21 papers receiving 2.1k citations
Peter Krusche's Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 463
- Aging 55
- Endocrine and Autonomic Systems 159
- Genetics 490
- Molecular Biology 946
Countries citing papers authored by Peter Krusche
This map shows the geographic impact of Peter Krusche'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 Peter Krusche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Krusche more than expected).
Fields of papers citing papers by Peter Krusche
This network shows the impact of papers produced by Peter Krusche. 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 Peter Krusche. The network helps show where Peter Krusche may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Krusche, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Strelka2: fast and accurate calling of germline and somatic variants Hit paper breakdown → | 2018 | 1041 |
| 2 | 2019 | 248 | |
| 3 | 2019 | 241 | |
| 4 | 2014 | 176 | |
| 5 | 2019 | 128 | |
| 6 | 2012 | 58 | |
| 7 | 2013 | 50 | |
| 8 | 2017 | 32 | |
| 9 | 2010 | 29 | |
| 10 | 2006 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2010 | 13 | |
| 13 | Efficient parallel string comparison | 2007 | 6 |
| 14 | 2015 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2008 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2009 | 3 | |
| 20 | 2009 | 2 |
About Peter Krusche
Peter Krusche is a scholar working on Hardware and Architecture, Artificial Intelligence, Molecular Biology, Endocrine and Autonomic Systems and Cancer Research, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (7 papers), Network Packet Processing and Optimization (3 papers), Plant Molecular Biology Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Rare Diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Cancer Research (463 citations), Aging (55 citations), Endocrine and Autonomic Systems (159 citations), Genetics (490 citations) and Molecular Biology (946 citations). Peter Krusche has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Sangtae Kim, Eunho Noh, Aaron L. Halpern, Christopher T. Saunders, Morten Källberg, Mitchell A. Bekritsky, Doruk Beyter, Konrad Scheffler, Alexander Tiskin and Michael A. Eberle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, BMC Evolutionary Biology, BMC Medical Research Methodology 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.