What is he best known for?
The fields of study he is best known for:
Immunology, Cytotoxic T cell, Virology, Antigen and Epitope are his primary areas of study.
When carried out as part of a general Immunology research project, his work on Epstein–Barr virus, Virus, Immune system and Immunotherapy is frequently linked to work in Reed–Sternberg cell, therefore connecting diverse disciplines of study.
The various areas that Rajiv Khanna examines in his Cytotoxic T cell study include T lymphocyte and CD8.
His CD8 research is multidisciplinary, relying on both Cancer research and Antigen-presenting cell.
His Antigen research incorporates elements of Lymphoproliferative disorders and Lytic cycle.
His Epitope study combines topics in areas such as Vaccinia, Orthopoxvirus, Human leukocyte antigen, CTL* and Major histocompatibility complex.
His most cited work include:
- Immunobiology of Human Cytomegalovirus: from Bench to Bedside (447 citations)
- Human cytomegalovirus: clinical aspects, immune regulation, and emerging treatments (427 citations)
- Localization of Epstein-Barr virus cytotoxic T cell epitopes using recombinant vaccinia: implications for vaccine development. (373 citations)
What are the main themes of his work throughout his whole career to date?
Rajiv Khanna focuses on Immunology, Virology, Cytotoxic T cell, Antigen and Epitope.
His study in Immunology concentrates on Immune system, T cell, Immunotherapy, Immunity and Human cytomegalovirus.
Virology connects with themes related to Vaccinia in his study.
Rajiv Khanna interconnects Cancer research, CD8 and Major histocompatibility complex in the investigation of issues within Cytotoxic T cell.
His Antigen study incorporates themes from Peptide sequence, Antigen-presenting cell and T-cell receptor.
In Epitope, Rajiv Khanna works on issues like Antigen presentation, which are connected to Cell biology.
He most often published in these fields:
- Immunology (59.72%)
- Virology (44.44%)
- Cytotoxic T cell (45.83%)
What were the highlights of his more recent work (between 2018-2021)?
- T cell (27.78%)
- Immunology (59.72%)
- Immune system (27.43%)
In recent papers he was focusing on the following fields of study:
His main research concerns T cell, Immunology, Immune system, Antigen and Virology.
Rajiv Khanna has included themes like Congenital cytomegalovirus infection, Cancer research, Internal medicine and Immunotherapy in his T cell study.
His biological study spans a wide range of topics, including Epitope, Computational biology and Transplantation.
His Epitope study integrates concerns from other disciplines, such as Cytotoxic T cell and Human leukocyte antigen.
His Antigen research includes themes of In vitro and Oncology.
His Virology research is mostly focused on the topic Virus.
Between 2018 and 2021, his most popular works were:
- Epstein-Barr Virus in Multiple Sclerosis: Theory and Emerging Immunotherapies. (36 citations)
- Autologous Adoptive T-cell Therapy for Recurrent or Drug-resistant Cytomegalovirus Complications in Solid Organ Transplant Recipients: A Single-arm Open-label Phase I Clinical Trial. (30 citations)
- Autologous Adoptive T-cell Therapy for Recurrent or Drug-resistant Cytomegalovirus Complications in Solid Organ Transplant Recipients: A Single-arm Open-label Phase I Clinical Trial. (30 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include T cell, Immunology, Immune system, Transplantation and Immunity.
His study in T cell is interdisciplinary in nature, drawing from both Immunohistochemistry, Virus, Virology and Cancer research.
His Immune system research incorporates themes from Internal medicine, Adverse effect, Clinical trial and Drug resistance.
The concepts of his Transplantation study are interwoven with issues in Congenital cytomegalovirus infection, Phases of clinical research and T-cell receptor.
Rajiv Khanna has researched Immunity in several fields, including In vitro, Cellular immunity, Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2 and Memory T cell.
His CD8 study contributes to a more complete understanding of Antigen.
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.
