What is he best known for?
The fields of study he is best known for:
Jed A. Fuhrman mainly focuses on Ecology, Bacteria, Marine bacteriophage, Plankton and 16S ribosomal RNA.
His Microbial population biology research extends to Ecology, which is thematically connected.
The various areas that Jed A. Fuhrman examines in his Bacteria study include Ruegeria, Biochemistry, DNA and Microbiology.
The concepts of his Marine bacteriophage study are interwoven with issues in SYBR Green I and Fluorescence microscope.
His research in Plankton intersects with topics in Productivity, Species diversity and Bacterioplankton.
The 16S ribosomal RNA study combines topics in areas such as clone, Ribosomal RNA, Archaea and Evolutionary biology.
His most cited work include:
- Microbial biogeography : putting microorganisms on the map (1888 citations)
- Marine viruses and their biogeochemical and ecological effects (1632 citations)
- Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters : Evaluation and field results (1155 citations)
What are the main themes of his work throughout his whole career to date?
Jed A. Fuhrman mainly investigates Ecology, Bacterioplankton, Metagenomics, Marine bacteriophage and Bacteria.
His Archaea research extends to the thematically linked field of Ecology.
The Bacterioplankton study which covers Oceanography that intersects with Phytoplankton.
His Metagenomics research is multidisciplinary, relying on both Data mining, Genome, Contig, Artificial intelligence and Computational biology.
His biological study spans a wide range of topics, including Environmental chemistry and Virus.
His Bacteria study integrates concerns from other disciplines, such as Seawater, Biochemistry and Microbiology.
He most often published in these fields:
- Ecology (45.39%)
- Bacterioplankton (15.87%)
- Metagenomics (15.13%)
What were the highlights of his more recent work (between 2016-2021)?
- Metagenomics (15.13%)
- Computational biology (9.23%)
- Ecology (45.39%)
In recent papers he was focusing on the following fields of study:
His main research concerns Metagenomics, Computational biology, Ecology, Genome and Evolutionary biology.
His Metagenomics study combines topics from a wide range of disciplines, such as Phylum, Marine bacteriophage, Contig and Artificial intelligence.
His studies deal with areas such as Host and Oceanospirillales as well as Marine bacteriophage.
His Computational biology research incorporates themes from 16S ribosomal RNA, CRISPR, Ribosomal RNA, Amplicon and Virus.
His Ecology research integrates issues from Chlorophyll and Microbial population biology.
His Genome research also works with subjects such as
- Phylogenetics which connect with Microbiology, k-mer and Virus classification,
- Sequence analysis together with Pairwise comparison and Data mining.
Between 2016 and 2021, his most popular works were:
- A communal catalogue reveals Earth’s multiscale microbial diversity (835 citations)
- VirFinder: a novel k -mer based tool for identifying viral sequences from assembled metagenomic data (177 citations)
- Alignment-free $d_2^*$ oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences (124 citations)
In his most recent research, the most cited papers focused on:
Jed A. Fuhrman spends much of his time researching Metagenomics, Ecology, Genome, Evolutionary biology and Gene.
His Metagenomics research is multidisciplinary, incorporating perspectives in Random forest, Host, Computational biology and DNA sequencing.
His Ecology study combines topics in areas such as Cercozoa, Protist and Microbial population biology.
In his research, Pairwise comparison and Data mining is intimately related to Sequence analysis, which falls under the overarching field of Genome.
Jed A. Fuhrman interconnects Euryarchaeota, 16S ribosomal RNA, Archaea and Ribosomal RNA, 18S ribosomal RNA in the investigation of issues within Evolutionary biology.
His work in Gene covers topics such as DNA which are related to areas like Cyanobacteria, Picoplankton and Photosynthesis.
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