What is he best known for?
The fields of study he is best known for:
Nuno Bandeira spends much of his time researching Computational biology, Proteomics, Tandem mass spectrometry, Mass spectrometry and Identification.
His Computational biology research is multidisciplinary, incorporating elements of Gene cluster, Microbiology and Genomics.
A large part of his Proteomics studies is devoted to PeptideAtlas.
Nuno Bandeira combines subjects such as Database search engine, Peptide sequence and Antibody with his study of Tandem mass spectrometry.
In general Mass spectrometry, his work in Electron-transfer dissociation, Fragmentation and Collision-induced dissociation is often linked to Mascot linking many areas of study.
His Identification research incorporates elements of False positive paradox and Bioinformatics.
His most cited work include:
- ProteomeXchange provides globally coordinated proteomics data submission and dissemination (1926 citations)
- Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking (1067 citations)
- Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking (1067 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Proteomics, Computational biology, Mass spectrometry, Tandem mass spectrometry and Peptide.
His research integrates issues of Proteome, Bioinformatics, Identification, Field and Workflow in his study of Proteomics.
The concepts of his Field study are interwoven with issues in PeptideAtlas and Data science.
His studies deal with areas such as Genome, Gene, Genomics, Human proteome project and Combinatorial chemistry as well as Computational biology.
His Mass spectrometry study integrates concerns from other disciplines, such as Information retrieval and Molecular networking.
Nuno Bandeira has included themes like Database search engine, Peptide sequence and Peptide mass fingerprinting in his Tandem mass spectrometry study.
He most often published in these fields:
- Proteomics (57.96%)
- Computational biology (45.22%)
- Mass spectrometry (47.13%)
What were the highlights of his more recent work (between 2018-2021)?
- Mass spectrometry (47.13%)
- Proteomics (57.96%)
- Computational biology (45.22%)
In recent papers he was focusing on the following fields of study:
Nuno Bandeira mainly focuses on Mass spectrometry, Proteomics, Computational biology, Information retrieval and Data science.
The Mass spectrometry study combines topics in areas such as Dashboard and Molecular networking, Metabolomics.
His PeptideAtlas study in the realm of Proteomics interacts with subjects such as Spectrum.
His Computational biology research includes elements of Genomics, Gene, Interactome, Human proteome project and Workflow.
His biological study spans a wide range of topics, including Tandem mass spectrometry, Metadata, Disk formatting, Metabolomics data and Web application.
Nuno Bandeira interconnects Proteomics Standards Initiative, Field, Human proteins and Data-independent acquisition in the investigation of issues within Data science.
Between 2018 and 2021, his most popular works were:
- The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics. (102 citations)
- The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics. (102 citations)
- Feature-based molecular networking in the GNPS analysis environment. (61 citations)
In his most recent research, the most cited papers focused on:
Nuno Bandeira mostly deals with Mass spectrometry, Molecular networking, Data mining, Feature and Feature detection.
His Lc ms ms study in the realm of Mass spectrometry connects with subjects such as Broad spectrum.
His Molecular networking research is under the purview of Metabolomics.
His Data mining research includes themes of Chemical space, Molecular network, Ion-mobility spectrometry and Resolution.
His study of Feature based is a part of Feature.
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