Christopher Pockrandt
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 1
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- Algorithms and Data Compression 3
- Natural Language Processing Techniques 2
- Topic Modeling 1
- Co-authors
- Steven L. Salzberg (5 shared papers)Martin Steinegger (3 shared papers)Natalia Rincon (2 shared papers)Jennifer Lu (1 shared paper)Derrick E. Wood (1 shared paper)Florian P. Breitwieser (1 shared paper)Ben Langmead (1 shared paper)Knut Reinert (4 shared papers)
- Journals
- Bioinformatics (3 papers)Genetics (1 paper)Journal of Biotechnology (1 paper)Genome biology (1 paper)BMC Biotechnology (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Christopher Pockrandt
10 papers receiving 547 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Ecology 123
- Molecular Medicine 23
- Molecular Biology 306
- Infectious Diseases 71
- Pollution 37
Countries citing papers authored by Christopher Pockrandt
This map shows the geographic impact of Christopher Pockrandt'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 Christopher Pockrandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Pockrandt more than expected).
Fields of papers citing papers by Christopher Pockrandt
This network shows the impact of papers produced by Christopher Pockrandt. 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 Christopher Pockrandt. The network helps show where Christopher Pockrandt may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Pockrandt, 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 | Metagenome analysis using the Kraken software suite Hit paper breakdown → | 2022 | 309 |
| 2 | 2020 | 102 | |
| 3 | 2017 | 56 | |
| 4 | 2021 | 40 | |
| 5 | 2023 | 16 | |
| 6 | 2019 | 9 | |
| 7 | 2021 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 5 | |
| 10 | FAMOUS: Fast Approximate string Matching using OptimUm search Schemes. | 2017 | 1 |
About Christopher Pockrandt
Christopher Pockrandt is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 551 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Algorithms and Data Compression (3 papers), Natural Language Processing Techniques (2 papers), Chromosomal and Genetic Variations (2 papers), Microbial Community Ecology and Physiology (1 paper), Topic Modeling (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Ecology (123 citations), Molecular Medicine (23 citations), Molecular Biology (306 citations), Infectious Diseases (71 citations) and Pollution (37 citations). Christopher Pockrandt has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Steven L. Salzberg, Martin Steinegger, Natalia Rincon, Jennifer Lu, Derrick E. Wood, Florian P. Breitwieser, Ben Langmead, Knut Reinert, Costas S. Iliopoulos and Mai Alzamel. Their work appears in journals such as Bioinformatics, Genetics, Journal of Biotechnology, Genome biology and BMC Biotechnology.
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.