T. Gechev
Plant Science · 2006–2023
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Plant Science — 91 citations into it
- Molecular Biology — 60 citations into it
Whom T. Gechev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts T. Gechev overall
Papers from T. Gechev's perspective
Ordered by how strongly the researchers T. Gechev trusts endorse each paper. Same corpus, a different order for every researcher.
- Functional analysis of oxidative stress-activated mitogen-activated protein kinase cascade in plants. (Proceedings of the National Academy of Sciences of the United States of America)
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data. (Biostatistics)
- Reactive oxygen gene network of plants. (Trends in Plant Science)
- Calcium channels activated by hydrogen peroxide mediate abscisic acid signalling in guard cells (Nature)
- A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
- Oxidative stress, antioxidants and stress tolerance. (Trends in Plant Science)
- Cytosolic Ascorbate Peroxidase 1 Is a Central Component of the Reactive Oxygen Gene Network of Arabidopsisw⃞ (The Plant Cell Online)
- Oxidant and antioxidant signalling in plants: a re-evaluation of the concept of oxidative stress in a physiological context
- affy - analysis of Affymetrix GeneChip data at the probe level (Bioinform.)
- NASCArrays: a repository for microarray data generated by NASC's transcriptomics service (Nucleic Acids Res.)
Their papers
- Transcriptomic Footprints Disclose Specificity of Reactive Oxygen Species Signaling in Arabidopsis1[W] (2006) — 746 citations
- Reactive oxygen species as signals that modulate plant stress responses and programmed cell death (2006) — 1,103 citations
- ROS-mediated abiotic stress-induced programmed cell death in plants (2015) — 683 citations
- An advanced deep learning models-based plant disease detection: A review of recent research (2023) — 476 citations