What is she best known for?
The fields of study she is best known for:
- Ecology
- Ecosystem
- Oceanography
Her main research concerns Hypoxia, Oceanography, Eutrophication, Ecology and Phytoplankton.
Her Hypoxia study combines topics from a wide range of disciplines, such as Habitat destruction, Estuary, Water column, Discharge and Nutrient.
Her Nutrient study incorporates themes from Bottom water and Water pollution.
In Oceanography, Nancy N. Rabalais works on issues like Coastal plain, which are connected to River mouth and Diatom.
Her Eutrophication study combines topics in areas such as Global warming, Benthic zone and Coastal zone.
Her biological study spans a wide range of topics, including Hydrology, Nitrate and Plankton.
Her most cited work include:
- Climate Change Impacts on Marine Ecosystems (1427 citations)
- Gulf of Mexico Hypoxia, A.K.A. “The Dead Zone” (810 citations)
- Nutrient changes in the Mississippi River and system responses on the adjacent continental shelf (689 citations)
What are the main themes of her work throughout her whole career to date?
Nancy N. Rabalais spends much of her time researching Oceanography, Hypoxia, Ecology, Eutrophication and Continental shelf.
Her research integrates issues of Phytoplankton, Sediment and Biogeochemical cycle in her study of Oceanography.
Nancy N. Rabalais interconnects Water column, Hydrology, Ecosystem, Benthic zone and Nutrient in the investigation of issues within Hypoxia.
Her studies in Ecosystem integrate themes in fields like Aquatic ecosystem, Sustainability and Submarine pipeline.
Her work in the fields of Ecology, such as Water quality, Bacterioplankton and Pseudo-nitzschia, intersects with other areas such as Thaumarchaeota and Metagenomics.
Nancy N. Rabalais combines subjects such as Environmental chemistry, Algal bloom, Global warming and Dead zone with her study of Eutrophication.
She most often published in these fields:
- Oceanography (51.65%)
- Hypoxia (48.35%)
- Ecology (32.42%)
What were the highlights of her more recent work (between 2016-2021)?
- Hypoxia (48.35%)
- Ecology (32.42%)
- Oceanography (51.65%)
In recent papers she was focusing on the following fields of study:
Hypoxia, Ecology, Oceanography, Eutrophication and Ecosystem are her primary areas of study.
Her biological study deals with issues like Benthic zone, which deal with fields such as Ocean acidification and Demersal zone.
Her Oceanography research is multidisciplinary, incorporating elements of Discharge and Pelican.
Eutrophication is a subfield of Nutrient that Nancy N. Rabalais investigates.
Her Ecosystem research includes themes of Environmental resource management, Nitrate and Bacterioplankton.
Nancy N. Rabalais works mostly in the field of Bottom water, limiting it down to topics relating to Continental shelf and, in certain cases, Anoxic waters, as a part of the same area of interest.
Between 2016 and 2021, her most popular works were:
- Declining oxygen in the global ocean and coastal waters. (652 citations)
- Metabolic Roles of Uncultivated Bacterioplankton Lineages in the Northern Gulf of Mexico "Dead Zone" (43 citations)
- Gulf of Mexico Hypoxia: Past, Present, and Future (25 citations)
In her most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Oceanography
Nancy N. Rabalais focuses on Hypoxia, Oceanography, Ecology, Eutrophication and Bottom water.
Her Hypoxia research is multidisciplinary, incorporating perspectives in Ecosystem and Ocean acidification.
The various areas that she examines in her Oceanography study include Sediment, Biogeochemical cycle and Temporal scales.
In the subject of general Ecology, her work in Canonical correspondence analysis, Pyrodinium bahamense, Lingulodinium polyedrum and Nutrient is often linked to Microbial metabolism, thereby combining diverse domains of study.
The concepts of her Eutrophication study are interwoven with issues in Algal bloom, Water column, Bacterioplankton and Plankton.
Her research in Bottom water intersects with topics in Subtropics, Continental shelf, Marsh and Surface water.
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.
