His scientific interests lie mostly in Cell biology, Cancer research, Biochemistry, Oxidative stress and Mitochondrion. The study incorporates disciplines such as Programmed cell death and Mitophagy in addition to Cell biology. The various areas that Jianhua Zhang examines in his Cancer research study include Mutation, KRAS, CDKN2A, PTEN and Adenocarcinoma.
As part of one scientific family, Jianhua Zhang deals mainly with the area of CDKN2A, narrowing it down to issues related to the Gene expression profiling, and often Squamous Differentiation, Lung cancer, Gefitinib and Carcinoma. His Adenocarcinoma research is multidisciplinary, relying on both MET Exon 14 Skipping Mutation, microRNA, Gene and Oncogene. His work in Oxidative stress addresses subjects such as Oxidative phosphorylation, which are connected to disciplines such as Reactive oxygen species, Cell signaling, Stem cell and Cellular differentiation.
His primary areas of investigation include Cell biology, Cancer research, Internal medicine, Autophagy and Cancer. His Cell biology research is multidisciplinary, incorporating perspectives in Oxidative stress, Programmed cell death and Mitophagy. Jianhua Zhang combines topics linked to Oxidative phosphorylation with his work on Oxidative stress.
His Cancer research course of study focuses on KRAS and Pancreatic cancer. His biological study spans a wide range of topics, including Endocrinology and Oncology. His study on Autophagy is covered under Biochemistry.
Jianhua Zhang mainly investigates Cancer research, Internal medicine, Oncology, T cell and Cancer. His Cancer research research includes elements of Cell, Carcinogenesis, CD8, Immune system and Lung cancer. His research in Carcinogenesis focuses on subjects like Adenocarcinoma, which are connected to Lung.
Jianhua Zhang combines subjects such as Mutation, Multivariate analysis, CDKN2A and Blastoid with his study of Oncology. He focuses mostly in the field of Leukemia, narrowing it down to matters related to Myeloid leukemia and, in some cases, Computational biology. His Autophagy research incorporates themes from Receptor, Immunology and Function, Cell biology.
His primary scientific interests are in Cancer research, Internal medicine, Oncology, Immune system and T cell. His study of Tumor microenvironment is a part of Cancer research. His work carried out in the field of Oncology brings together such families of science as Immune checkpoint, Mutation, Blastoid, Somatic evolution in cancer and Cohort.
His Carcinogenesis research incorporates elements of Lineage, Gene expression profiling, Methylation and Adenocarcinoma. His research investigates the connection with Computational biology and areas like Multicellular organism which intersect with concerns in Autophagy. His Autophagy study integrates concerns from other disciplines, such as Mitochondrion and Programmed cell death.
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.
Bioconductor: open software development for computational biology and bioinformatics
Robert C Gentleman;Vincent J Carey;Douglas M. Bates;B.M. Bolstad.
Genome Biology (2004)
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif.
Autophagy (2021)
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin.
Autophagy (2016)
Guidelines for the use and interpretation of assays for monitoring autophagy
Daniel J. Klionsky;Fabio C. Abdalla;Hagai Abeliovich;Robert T. Abraham.
Autophagy (2012)
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir.
Nature (2008)
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356
Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin.
Autophagy (2016)
Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network
Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger.
Nature (2014)
Comprehensive genomic characterization of squamous cell lung cancers
Peter S. Hammerman;Doug Voet;Michael S. Lawrence;Douglas Voet.
Nature (2012)
Autophagy, mitochondria and oxidative stress: cross-talk and redox signalling
Jisun Lee;Samantha Giordano;Jianhua Zhang;Jianhua Zhang.
Biochemical Journal (2012)
Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing
Jianjun Zhang;Junya Fujimoto;Jianhua Zhang;David C. Wedge.
Science (2014)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Alabama at Birmingham
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center
University of Cambridge
Stockholm University
Amazon (United States)
Leibniz Institute for Catalysis
University of Georgia
University of California, Los Angeles
McMaster University
University of Gothenburg
Kiel University
Stony Brook University
University of Washington
West Chester University
University of Copenhagen
National Institutes of Health
Indiana University
Adobe Systems (United States)