What is he best known for?
The fields of study he is best known for:
- Ecology
- Bacteria
- Ecosystem
Connie Lovejoy spends much of his time researching Ecology, Arctic, Oceanography, Archaea and Biogeography.
The various areas that Connie Lovejoy examines in his Ecology study include Water mass and Phylotype.
The concepts of his Arctic study are interwoven with issues in Biodiversity, Microbial mat, Sea ice, Phylum and Dominance.
His biological study spans a wide range of topics, including Phytoplankton, Ecosystem and Food chain.
His Phytoplankton research is multidisciplinary, relying on both Algae, Food web, Carbon cycle and Plankton.
His Biogeography research focuses on Biological dispersal and how it relates to Marine bacteriophage.
His most cited work include:
- The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing (601 citations)
- Smallest algae thrive as the Arctic Ocean freshens. (458 citations)
- Ecology of the rare microbial biosphere of the Arctic Ocean (406 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Ecology, Arctic, Oceanography, Phytoplankton and Plankton.
His research investigates the link between Ecology and topics such as Archaea that cross with problems in Microbial population biology.
His Arctic research is multidisciplinary, incorporating elements of Sea ice, Climate change, Water mass, Ecosystem and Biogeography.
The concepts of his Oceanography study are interwoven with issues in Photic zone and Chlorophyll a.
His Phytoplankton study combines topics from a wide range of disciplines, such as Bloom, Food web, Water column and Zooplankton.
His Plankton research incorporates themes from Algae, Mussel, Trophic level, Microbial food web and Diatom.
He most often published in these fields:
- Ecology (67.46%)
- Arctic (53.85%)
- Oceanography (39.05%)
What were the highlights of his more recent work (between 2016-2021)?
- Arctic (53.85%)
- Ecology (67.46%)
- Oceanography (39.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Arctic, Ecology, Oceanography, Phytoplankton and Permafrost.
Connie Lovejoy interconnects Brackish water, Productivity, Climate change, Water mass and Ecotype in the investigation of issues within Arctic.
Connie Lovejoy has researched Ecology in several fields, including Microbial ecology, Archaea and Microbial population biology.
His Oceanography study which covers Photic zone that intersects with Sea ice.
Connie Lovejoy has included themes like Dinoflagellate, 18S ribosomal RNA, Water column, Phylogenetics and Pelagic zone in his Phytoplankton study.
His Permafrost research includes elements of Biogeochemical cycle, Peat, Carbon cycle, Aquatic ecosystem and Subarctic climate.
Between 2016 and 2021, his most popular works were:
- Host-derived viral transporter protein for nitrogen uptake in infected marine phytoplankton (36 citations)
- Diversity and potential activity of methanotrophs in high methane-emitting permafrost thaw ponds. (29 citations)
- Seasonal patterns in Arctic prasinophytes and inferred ecology of Bathycoccus unveiled in an Arctic winter metagenome. (27 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Bacteria
- Ecosystem
Connie Lovejoy mainly investigates Ecology, Arctic, Phytoplankton, Microbial ecology and Oceanography.
All of his Ecology and Subarctic climate, Bathycoccus, Permafrost, Water column and Peat investigations are sub-components of the entire Ecology study.
His Arctic research integrates issues from Chloroflexi and Biogeochemical cycle.
His Phytoplankton study combines topics in areas such as 18S ribosomal RNA, Phylogenetics, Pelagic zone and Upwelling.
His research in Microbial ecology intersects with topics in Productivity, Species richness, Archaea, Ecosystem and Benthic zone.
His work on Climate change, Hydrography and Stratification as part of general Oceanography study is frequently connected to Latitude, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
