What is he best known for?
The fields of study he is best known for:
- Gene
- Computer network
- Quantum mechanics
István Csabai focuses on Astrophysics, Astronomy, Sky, Quasar and Galaxy.
His research on Astrophysics frequently links to adjacent areas such as Spectral line.
His Sky research integrates issues from Yarkovsky effect and Range.
The concepts of his Quasar study are interwoven with issues in Extinction, Emission spectrum and Continuum.
His Galaxy research focuses on subjects like Spectral density, which are linked to Linear combination.
His Redshift research incorporates elements of Luminosity and Omega.
His most cited work include:
- The Sloan Digital Sky Survey: Technical summary (8500 citations)
- The Sloan Digital Sky Survey: Technical summary (8500 citations)
- Detection of the baryon acoustic peak in the large-scale correlation function of SDSS luminous red galaxies (3620 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Astrophysics, Astronomy, Galaxy, Sky and Redshift.
István Csabai frequently studies issues relating to Spectral line and Astrophysics.
In his research, Halo is intimately related to Dark matter, which falls under the overarching field of Galaxy.
His work on Data release as part of his general Sky study is frequently connected to Imaging data, thereby bridging the divide between different branches of science.
The Redshift study combines topics in areas such as Cosmology, Spectral resolution and Spectral density.
István Csabai combines subjects such as Celestial equator and Active galactic nucleus with his study of Quasar.
He most often published in these fields:
- Astrophysics (96.54%)
- Astronomy (70.41%)
- Galaxy (54.64%)
What were the highlights of his more recent work (between 2014-2021)?
- Cancer research (3.67%)
- Prostate cancer (3.02%)
- Genome (3.24%)
In recent papers he was focusing on the following fields of study:
István Csabai mainly focuses on Cancer research, Prostate cancer, Genome, Astrophysics and Internal medicine.
His Cancer research research includes themes of Epigenetics, Gene, Homologous recombination, Somatic cell and Colorectal cancer.
His Prostate cancer research includes elements of Exome sequencing, Prostate and Locus.
His Genome study incorporates themes from Computational biology, Antibiotic resistance and DNA sequencing.
His research combines Cosmic microwave background and Astrophysics.
Redshift is a subfield of Galaxy that he studies.
Between 2014 and 2021, his most popular works were:
- Detecting and classifying lesions in mammograms with Deep Learning (229 citations)
- Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal (229 citations)
- Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal (194 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Computer network
- Quantum mechanics
István Csabai mainly investigates Cancer research, Genetics, Genome, Prostate cancer and Astrophysics.
His studies deal with areas such as Colorectal adenoma, Colorectal cancer, Epigenetics and Telomerase as well as Cancer research.
István Csabai has researched Genome in several fields, including Computational biology and DNA sequencing.
His DNA sequencing study also includes
- Data set that connect with fields like Breast cancer,
- Mutation which connect with Identification.
His study in Redshift and Event are all subfields of Astrophysics.
His research investigates the connection with Redshift and areas like Sachs–Wolfe effect which intersect with concerns in Dark energy and Cosmology.
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.
