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Abhishek D Garg

Bio

Abhishek D Garg graduated from the University of Leeds (UK) in 2008, and obtained his PhD in 2012 from the KU Leuven. During his PhD, he worked on damage-associated molecular patterns (DAMPs) and immunogenic cell death (ICD) in cancer. Thereafter he continued as a postdoctoral researcher at KU Leuven, where he pursued studies on various immunological determinants of ICD and ICD-based dendritic cell (DC) vaccines. During his postdoc, he also carried out research visits to the University of Helsinki (Finland) and De Duve Institute (Belgium) to work on different aspects of cancer cell-innate immune cell interface and the interaction of antigen-specific T-cells with cancer cells, respectively. Currently, he is an assistant professor in the Department of Cellular & Molecular Medicine at the KU Leuven, wherein his team/subgroup focusing on immunology of cell death, is embedded within the Cell Death Research & Therapy (CDRT) unit. His team focuses on understanding the molecular, translational and therapeutic determinants underlying the immunology of different cell death pathways (e.g. intrinsic or extrinsic apoptosis and necrosis especially RIPK1-RIPK3-MLKL dependent necroptosis), with particular attention to cancer immunology and biomarkers-driven tumour immunotherapy.

Editor Records (manuscripts handled as editor)
Pre Publication Reviews

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Reviews

95

Reviews (last 12 months)

27

Reviews (average per year)

14

Merit

265

Openness

1.1%


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Abhishek D Garg has reviewed for.

Abhishek D Garg

All fields reviewers

Total reviews over time

A cumulative record of Abhishek D Garg's total number of reviews.

Reviews per month

The total number of reviews performed by Abhishek D Garg each month.

Average review length

The average number of words per review compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Note: only reviews with associated content are included in the graph below and where content is present we can not guarantee that it is complete or truly the content of the review.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.