What is she best known for?
The fields of study she is best known for:
Her scientific interests lie mostly in Nanotechnology, Cell biology, Nanoparticle, Tissue engineering and Cell.
Her Nanotechnology research integrates issues from Porous silicon, Photonic crystal and In vivo.
Her work carried out in the field of Cell biology brings together such families of science as Cell culture, Cellular differentiation and Hepatocyte.
Her Nanoparticle research includes elements of Biophysics, Nanomaterials and Drug delivery.
Her Tissue engineering research includes themes of Pathology, Self-healing hydrogels, Cell type and Microscale chemistry.
Her work in Cell covers topics such as Phenotype which are related to areas like Stromal cell and Induced pluripotent stem cell.
Her most cited work include:
- Probing the Cytotoxicity Of Semiconductor Quantum Dots. (2858 citations)
- Estimates of the severity of coronavirus disease 2019: a model-based analysis. (2205 citations)
- Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand (2193 citations)
What are the main themes of her work throughout her whole career to date?
Sangeeta N. Bhatia mostly deals with Nanotechnology, Cell biology, In vivo, Nanoparticle and Tissue engineering.
The Cell biology study combines topics in areas such as Cell, Cell culture and Hepatocyte.
Her In vivo study incorporates themes from Cancer research, In vitro, Biochemistry, Proteases and Protease.
Her Cancer research study frequently links to other fields, such as Cancer.
Her Nanoparticle research incorporates elements of Biophysics and Drug delivery.
Her Tissue engineering research is multidisciplinary, relying on both Micropatterning, Self-healing hydrogels and Cell type.
She most often published in these fields:
- Nanotechnology (26.94%)
- Cell biology (26.06%)
- In vivo (20.07%)
What were the highlights of her more recent work (between 2018-2021)?
- Coronavirus disease 2019 (4.93%)
- In vivo (20.07%)
- Psychological intervention (2.99%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Coronavirus disease 2019, In vivo, Psychological intervention, Cell biology and Severe acute respiratory syndrome coronavirus 2.
Her research in Coronavirus disease 2019 focuses on subjects like Virology, which are connected to Malaria.
Her studies deal with areas such as Proteases, Cancer research, In vitro and Protease as well as In vivo.
The concepts of her Cell biology study are interwoven with issues in Stromal cell and Morphogenesis.
Her Ex vivo study integrates concerns from other disciplines, such as Liver disease, Hepatocyte, Genetic enhancement and Genetically modified organism.
Her Genetic enhancement study combines topics in areas such as Plasmodium falciparum, Drug metabolism and Hepatitis C virus.
Between 2018 and 2021, her most popular works were:
- Estimates of the severity of coronavirus disease 2019: a model-based analysis. (2205 citations)
- Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand (2193 citations)
- The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. (363 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of investigation include Coronavirus disease 2019, Psychological intervention, Social distance, Severe acute respiratory syndrome coronavirus 2 and Demography.
In Coronavirus disease 2019, Sangeeta N. Bhatia works on issues like Virology, which are connected to Infectious disease.
Her work in Credible interval addresses issues such as Young adult, which are connected to fields such as Attack rate.
The study incorporates disciplines such as Cancer, Cancer research, In vitro and In vivo in addition to Immune system.
Her work deals with themes such as Lung, Drug delivery and Hepatocyte, which intersect with Cancer research.
Her In vivo study incorporates themes from Proteases and Protease.
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.
