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Dr Rajeev Nema
Icahn School of Medicine at Mount Sinai Department of Oncological Sciences, 3B BlackBio Biotech India Limited, Jiwaji University, All-India Institute of Medical Sciences
0000-0003-1572-0409
About
I have more than ten years of research expertise in the cancer and cell culture development disciplines of molecular biology diagnostic streams
Employment
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Icahn School of Medicine at Mount Sinai Department of Oncological Sciences Postdoctoral Fellow2023 - 2023
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3B BlackBio Biotech India Limited SENIOR RESEARCH SCIENTIST2021 - 2022
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All-India Institute of Medical Sciences Scientist2018 - 2021
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All India Institute of Medical Science - Bhopal PDF2014 - 2017
Education
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Jiwaji University MSc2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- In-silico analysis of CEP55/E2F1/hsa-let-7b-5p/TMPO-AS1 axis-based ceRNA network promoting poor prognosis in lung adenocarcinoma smokers Save
- BUB1, miR-495-3p, and E2F1/E2F8 axis is associated with poor prognosis of breast cancer patients and infiltration of Th2 cells in the tumor microenvironment Save
- Genetic and epigenetic landscape of O6-methylguanine-DNA methyltransferase (MGMT): implications for DNA repair and cancer therapeutics Save
- LncRNA TMPO-AS1 Promotes Triple-Negative Breast Cancer by Sponging miR-383-5p to Trigger the LDHA Axis Save
- miRNA genetic variations associated with the predisposition of oral squamous cell carcinoma in central Indian population Save
- Hsa-Let-7b-5p is Sponged by the Lncrna-Tmpo-As1 Axis Due to Aurkb Upregulation, Which Promotes Triple-Negative Breast Cancer Save
- Efficacy of Pistacia lentiscus Plant (Rumi Mastagi) in Comparison to Levosulpiride in Patients with Diabetic Gastroparesis: A Double-Blind Non-Inferior Randomised Control Trial Study Save
- Editorial: Regulation of tumor-immune microenvironment by non-coding RNAs Save
- Decreased Expression of CD247 and CD4 Immune Marker Predicts Poor Prognosis in Triple Negative Breast Cancer Save
- Competing Endogenous TMPO-AS1-let-7c-5p- LDHA RNA Network Predicts the Prognosis of Lung Adenocarcinoma Patients Save