Peter Krusche

17 papers receiving 1.6k citations

Peter Krusche's Hit Papers

Strelka2: fast and accurate calling of germline and somatic variants 2018 · 725 citations
7250+2+5Years since publication200400600

Peers

Peter Krusche
Comparison fields: 5 of 113
  • Cancer Research 394
  • Aging 50
  • Endocrine and Autonomic Systems 152
  • Genetics 425
  • Molecular Biology 814
Replace Andrew M. Gross with:
Andrew M. Gross United States
Daniel E. Newburger United States
Giovanna Ambrosini Switzerland
Korbinian Grote Germany
Wouter Meuleman Netherlands
Volker Matys Germany
Robin Andersson Denmark
Marius Gheorghe Norway
Patrick Kemmeren Netherlands
Viviane Praz Switzerland
Peter Krusche relative to Andrew M. Gross United States Andrew M. Gross's profile →
Citations per field
00.5×2.7×
Andrew M. Gross · 1×
Citations per year

Countries citing papers authored by Peter Krusche

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Krusche Line = papers co-authored together Peter Krusche links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Strelka2: fast and accurate calling of germline and somatic variants
Hit paper breakdown →
2018725
2 2016222
3 2019192
4 2014169
5 2019105
6 201256
7 201351
8 201730
9 201028
10 200614
11 20108
12 20157
13 20084
14 20104
15
Efficient parallel string comparison
20074
16 20243
17 20102
18
Zur Theorie und Praxis der Predigtarbeit : Bericht von einer homiletischen Arbeitstagung September 1967 - Esslingen
19680

About Peter Krusche

Peter Krusche is a scholar working on Molecular Biology, Artificial Intelligence, Hardware and Architecture, Genetics and Plant Science, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (5 papers), Network Packet Processing and Optimization (3 papers), Plant Molecular Biology Research (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Circadian rhythm and melatonin (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (394 citations), Aging (50 citations), Endocrine and Autonomic Systems (152 citations), Genetics (425 citations) and Molecular Biology (814 citations). Peter Krusche has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Morten Källberg, Aaron L. Halpern, Mitchell A. Bekritsky, Sangtae Kim, Eunho Noh, Konrad Scheffler, Doruk Beyter, Christopher T. Saunders, Michael A. Eberle and Benjamin L. Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods, Genome Research, Genome biology and BMC Evolutionary Biology.

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.

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