What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Gene
- Statistics
Albert-László Barabási mostly deals with Computational biology, Genetics, Complex network, Interactome and Human interactome.
His Computational biology research includes themes of Human genetics and Bioinformatics.
His study on Genetics is mostly dedicated to connecting different topics, such as Biological network.
His studies in Complex network integrate themes in fields like Complex system and Distributed computing.
Albert-László Barabási focuses mostly in the field of Interactome, narrowing it down to topics relating to Systems biology and, in certain cases, Human disease.
The Evolving networks study combines topics in areas such as Topology and Hierarchical network model.
His most cited work include:
- Emergence of Scaling in Random Networks (26423 citations)
- Statistical mechanics of complex networks (16093 citations)
- Error and attack tolerance of complex networks (6456 citations)
What are the main themes of his work throughout his whole career to date?
Albert-László Barabási mainly focuses on Computational biology, Complex network, Genetics, Statistical physics and Data science.
Albert-László Barabási interconnects Gene regulatory network, Human interactome, Interactome and Function in the investigation of issues within Computational biology.
His biological study spans a wide range of topics, including Complex system and Distributed computing.
His is involved in several facets of Genetics study, as is seen by his studies on Gene, Phenotype and Proteome.
His study in Data science is interdisciplinary in nature, drawing from both Social network, Human dynamics and Mobile phone.
Degree distribution and Topology are commonly linked in his work.
He most often published in these fields:
- Computational biology (32.02%)
- Complex network (20.03%)
- Genetics (17.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (32.02%)
- Network science (15.78%)
- Human interactome (10.77%)
In recent papers he was focusing on the following fields of study:
Albert-László Barabási focuses on Computational biology, Network science, Human interactome, Network medicine and Function.
His Computational biology research incorporates elements of Adjacency matrix, Synapse and Blueprint.
His Network science study combines topics from a wide range of disciplines, such as Regional science and Census.
His Human interactome research entails a greater understanding of Gene.
His Network medicine study combines topics in areas such as Clinical trial, MEDLINE, Timeline, Drug development and Drug repositioning.
His studies deal with areas such as Polyphenol, Antioxidant, Secretion, Neuron and Tyrosine phosphorylation as well as Function.
Between 2018 and 2021, his most popular works were:
- Network-based prediction of drug combinations. (160 citations)
- Network-based prediction of protein interactions. (119 citations)
- The exposome and health: Where chemistry meets biology. (103 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Gene
- Statistics
His primary areas of investigation include Computational biology, Network science, Network medicine, MEDLINE and Extramural.
Borrowing concepts from Connectomics, Albert-László Barabási weaves in ideas under Computational biology.
His Network science research is multidisciplinary, incorporating elements of Regional science and Census.
His Network medicine research incorporates elements of Clinical trial, Timeline, Drug development, Drug repositioning and Data science.
His Data science study deals with Precision medicine intersecting with Phase.
His studies in Drug integrate themes in fields like Combinatorial explosion and Interactome.
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