What is she best known for?
The fields of study she is best known for:
- Immune system
- Gene
- Cancer
Her primary scientific interests are in Immunology, Dendritic cell, Immune system, Antigen-presenting cell and Antigen presentation.
Her work carried out in the field of Immunology brings together such families of science as Cytotoxic T cell and Cell biology.
Her work is dedicated to discovering how Cytotoxic T cell, T cell are connected with Vaccinia and other disciplines.
Her research in Dendritic cell intersects with topics in Chemokine, Phenotype, CD11c and Cytokine.
Her biological study spans a wide range of topics, including Cancer research and Virulence.
Her Antigen presentation study integrates concerns from other disciplines, such as Cellular differentiation, Cellular immunity, Follicular dendritic cells and Tuberculosis, Mycobacterium tuberculosis.
Her most cited work include:
- Dendritic cells acquire antigen from apoptotic cells and induce class I-restricted CTLs (2224 citations)
- Consequences of cell death: exposure to necrotic tumor cells, but not primary tissue cells or apoptotic cells, induces the maturation of immunostimulatory dendritic cells. (1320 citations)
- Antigen-specific inhibition of effector T cell function in humans after injection of immature dendritic cells. (1298 citations)
What are the main themes of her work throughout her whole career to date?
Immunology, Immune system, Antigen, Dendritic cell and T cell are her primary areas of study.
She combines subjects such as Cytotoxic T cell and Cell biology with her study of Immunology.
She interconnects Cancer research and Melanoma in the investigation of issues within Immune system.
The concepts of her Antigen study are interwoven with issues in Virology and Vaccination.
The various areas that Nina Bhardwaj examines in her Dendritic cell study include Priming, Cytokine and Immunity.
Her Antigen-presenting cell research includes themes of Natural killer T cell, Interleukin 12 and Major histocompatibility complex.
She most often published in these fields:
- Immunology (54.57%)
- Immune system (31.96%)
- Antigen (29.13%)
What were the highlights of her more recent work (between 2017-2021)?
- Cancer research (17.61%)
- Immune system (31.96%)
- Immunotherapy (15.87%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Cancer research, Immune system, Immunotherapy, Cancer and Antigen.
The Cancer research study combines topics in areas such as Bladder cancer, Cytotoxic T cell, Dendritic cell and Immune checkpoint.
Her Dendritic cell research is multidisciplinary, relying on both Antitumor immunity and Cell biology.
Nina Bhardwaj has included themes like Proinflammatory cytokine and Cytokine in her Immune system study.
Antigen is a subfield of Immunology that Nina Bhardwaj tackles.
Her study looks at the relationship between T cell and fields such as CD8, as well as how they intersect with chemical problems.
Between 2017 and 2021, her most popular works were:
- Immunology of COVID-19: Current State of the Science. (845 citations)
- A natural killer-dendritic cell axis defines checkpoint therapy-responsive tumor microenvironments. (343 citations)
- Re-Emergence of Dendritic Cell Vaccines for Cancer Treatment. (123 citations)
In her most recent research, the most cited papers focused on:
- Immune system
- Gene
- Cancer
Her main research concerns Cancer research, Immunotherapy, Antigen, Immune system and T cell.
Her Cancer research research incorporates elements of Bladder cancer, Cancer, CD8, Immunity and Cytotoxic T cell.
Her work in the fields of Antigen presentation overlaps with other areas such as GZMB.
Nina Bhardwaj focuses mostly in the field of Immunotherapy, narrowing it down to topics relating to Dendritic cell and, in certain cases, Cell biology, C-C chemokine receptor type 7, Downregulation and upregulation and CD40.
Her Immune system study is focused on Immunology in general.
The study incorporates disciplines such as Tumor microenvironment, Priming, Cytokine and Immune checkpoint in addition to T cell.
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.
