What is she best known for?
The fields of study she is best known for:
- Ecology
- Ecosystem
- Oceanography
Her primary areas of study are Ecology, Oceanography, Biogeochemistry, Carbon sink and Carbon dioxide.
The Ecology study combines topics in areas such as Archaea and Metagenomics.
Her work on Dissolved organic carbon as part of her general Oceanography study is frequently connected to Tropical Atlantic, thereby bridging the divide between different branches of science.
Her Dissolved organic carbon research integrates issues from Sea ice, Total organic carbon and Water column.
Patricia L. Yager combines subjects such as Tropical climate, Climate change, New production and Carbon sequestration with her study of Biogeochemistry.
As a member of one scientific family, she mostly works in the field of River mouth, focusing on Phytoplankton and, on occasion, Pelagic zone.
Her most cited work include:
- Degradation of terrestrially derived macromolecules in the Amazon River (217 citations)
- Amazon River enhances diazotrophy and carbon sequestration in the tropical North Atlantic Ocean (207 citations)
- Pole-to-pole biogeography of surface and deep marine bacterial communities (199 citations)
What are the main themes of her work throughout her whole career to date?
Patricia L. Yager mainly investigates Oceanography, Ecology, Phytoplankton, Dissolved organic carbon and Amazon rainforest.
Her research links Meltwater with Oceanography.
Her Ecology study integrates concerns from other disciplines, such as Microbial population biology, Archaea and Metagenomics.
Her study in the field of Photic zone is also linked to topics like Phaeocystis antarctica.
Her study on Dissolved organic carbon also encompasses disciplines like
- Total organic carbon and related Deep sea and Abundance,
- Carbon cycle that intertwine with fields like Carbon dioxide.
Her research in Amazon rainforest intersects with topics in River ecosystem, River mouth and River plume.
She most often published in these fields:
- Oceanography (64.21%)
- Ecology (28.42%)
- Phytoplankton (26.32%)
What were the highlights of her more recent work (between 2017-2021)?
- Oceanography (64.21%)
- Phytoplankton (26.32%)
- Meltwater (9.47%)
In recent papers she was focusing on the following fields of study:
Patricia L. Yager spends much of her time researching Oceanography, Phytoplankton, Meltwater, Ice sheet and Amazon rainforest.
Her Oceanography research is multidisciplinary, relying on both Bacterioplankton and Trichodesmium.
Her work deals with themes such as Stratification, Ice shelf, Seasonal cycle and Carbon flux, which intersect with Phytoplankton.
Her study in Meltwater is interdisciplinary in nature, drawing from both Primary productivity, Nutrient, Fjord and Biogeochemical cycle.
Her work on Greenland ice sheet as part of general Ice sheet study is frequently linked to High resolution, bridging the gap between disciplines.
Her Amazon rainforest research includes elements of Natural resource, Biodiversity, Co2 flux, River plume and Sustainability.
Between 2017 and 2021, her most popular works were:
- Exploring the Potential Impact of Greenland Meltwater on Stratification, Photosynthetically Active Radiation, and Primary Production in the Labrador Sea (20 citations)
- Modeling the Seasonal Cycle of Iron and Carbon Fluxes in the Amundsen Sea Polynya, Antarctica (12 citations)
- The Influence of Riverine Nutrients in Niche Partitioning of Phytoplankton Communities–A Contrast Between the Amazon River Plume and the Changjiang (Yangtze) River Diluted Water of the East China Sea (8 citations)
In her most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Oceanography
Her scientific interests lie mostly in Oceanography, Phytoplankton, Seasonal cycle, Carbon flux and Ice shelf.
Patricia L. Yager has included themes like Nitrate and Trichodesmium in her Oceanography study.
Patricia L. Yager interconnects Meltwater, Photosynthetically active radiation, Subarctic climate and Upwelling in the investigation of issues within Phytoplankton.
Her Seasonal cycle study frequently draws connections to other fields, such as Sea ice.
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.
