Derrick E. Wood
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
Papers in
-
- Genomics and Phylogenetic Studies 5
- Gut microbiota and health 3
- Molecular Biology Techniques and Applications 1
- Ecology 5
- Microbial Community Ecology and Physiology 3
- Co-authors
- Steven L. Salzberg (6 shared papers)Ben Langmead (2 shared papers)Jennifer Lu (2 shared papers)Martin Steinegger (1 shared paper)Christopher Pockrandt (1 shared paper)Natalia Rincon (1 shared paper)Florian P. Breitwieser (1 shared paper)Tanja Magoč (1 shared paper)
- Journals
- Genome biology (2 papers)Nature Protocols (1 paper)Biology Direct (1 paper)PeerJ (1 paper)Evolutionary Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaArmenia
In The Last Decade
Derrick E. Wood
9 papers receiving 7.6k citations
Derrick E. Wood's Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Medicine 531
- Endocrinology 383
- Ecology 1.8k
- Molecular Biology 3.5k
- Infectious Diseases 891
Countries citing papers authored by Derrick E. Wood
This map shows the geographic impact of Derrick E. Wood'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 Derrick E. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derrick E. Wood more than expected).
Fields of papers citing papers by Derrick E. Wood
This network shows the impact of papers produced by Derrick E. Wood. 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 Derrick E. Wood. The network helps show where Derrick E. Wood may publish in the future.
Co-authors
The 25 scholars most cited alongside Derrick E. Wood, 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 | Improved metagenomic analysis with Kraken 2 Hit paper breakdown → | 2019 | 3950 |
| 2 | Kraken: ultrafast metagenomic sequence classification using exact alignments Hit paper breakdown → | 2014 | 3019 |
| 3 | Metagenome analysis using the Kraken software suite Hit paper breakdown → | 2022 | 371 |
| 4 | 2014 | 110 | |
| 5 | 2013 | 104 | |
| 6 | 2018 | 73 | |
| 7 | 2012 | 25 | |
| 8 | 2021 | 7 | |
| 9 | Global analysis of Agrobacterium-plant interactions. | 2005 | 2 |
| 10 | 2018 | 0 |
About Derrick E. Wood
Derrick E. Wood is a scholar working on Molecular Biology, Ecology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 10 papers that have together received 7.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (3 papers), Gut microbiota and health (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Rare Diseases (1 paper), Molecular Biology Techniques and Applications (1 paper), Plant Virus Research Studies (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Molecular Medicine (531 citations), Endocrinology (383 citations), Ecology (1.8k citations), Molecular Biology (3.5k citations) and Infectious Diseases (891 citations). Derrick E. Wood has collaborated with scholars based in United States, South Korea and Armenia. Frequent co-authors include Steven L. Salzberg, Ben Langmead, Jennifer Lu, Martin Steinegger, Christopher Pockrandt, Natalia Rincon, Florian P. Breitwieser, Tanja Magoč, Luis A. Díaz and Jason Mitchell. Their work appears in journals such as Genome biology, Nature Protocols, Biology Direct, PeerJ and Evolutionary Bioinformatics.
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.