World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
22086
World Ranking
11692
National Ranking
5028

Overview

Nuno Bandeira is affiliated with the University of California, San Diego in the United States. Their research primarily falls within the field of Biochemistry, Genetics and Molecular Biology, with a specific focus on Molecular Biology. Additional subfields of study include Spectroscopy, Information Systems and Management, Information Systems, and Pharmacology.

Their scholarly work covers several interconnected topics such as:

  • Metabolomics and Mass Spectrometry Studies
  • Advanced Proteomics Techniques and Applications
  • Genomics and Phylogenetic Studies
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Bioinformatics
  • Bioinformatics and Genomic Networks
  • Scientific Computing and Data Management

Bandeira has contributed extensively to scientific literature. Some recent publications include:

  • Feature-based molecular networking in the GNPS analysis environment, 2020, Nature Methods
  • The ProteomeXchange consortium at 10 years: 2023 update, 2022, Nucleic Acids Research
  • Reproducible molecular networking of untargeted mass spectrometry data using GNPS, 2020, Nature Protocols
  • Mass spectrometry searches using MASST, 2020, Nature Biotechnology
  • A high-stringency blueprint of the human proteome, 2020, Nature Communications

The common venues where Bandeira has published reflect a consistent engagement with proteomics and bioinformatics communities. These include:

  • Journal of Proteome Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Methods
  • arXiv (Cornell University)

Bandeira's collaborative network includes multiple frequent coauthors, such as:

  • Pieter C. Dorrestein
  • Mingxun Wang
  • Eric W. Deutsch
  • Justin J. J. van der Hooft
  • Benjamin Pullman

Best Publications

  • Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

    Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez

  • ProteomeXchange provides globally coordinated proteomics data submission and dissemination

    Juan A. Vizcaíno;Eric W Deutsch;Rui Wang;Attila Csordas

  • Feature-based molecular networking in the GNPS analysis environment.

    Louis-Félix Nothias;Louis-Félix Nothias;Daniel Petras;Daniel Petras;Robin Schmid;Kai Dührkop

  • Mass spectral molecular networking of living microbial colonies

    Jeramie D. Watrous;Patrick J. Roach;Theodore Alexandrov;Theodore Alexandrov;Brandi S. Heath

  • The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

    Eric W. Deutsch;Attila Csordas;Zhi Sun;Andrew Jarnuczak

  • The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

    Eric W. Deutsch;Nuno Bandeira;Nuno Bandeira;Vagisha Sharma;Yasset Pérez-Riverol

  • Reproducible molecular networking of untargeted mass spectrometry data using GNPS

    Allegra T. Aron;Emily C. Gentry;Kerry L. McPhail;Louis Félix Nothias

  • Molecular cartography of the human skin surface in 3D

    Amina Bouslimani;Carla Renata Correa Porto;Christopher M Rath;Mingxun Wang

  • Clustering Millions of Tandem Mass Spectra

    Ari M. Frank;Nuno Bandeira;Zhouxin Shen;Stephen Tanner

  • The Generating Function of CID, ETD, and CID/ETD Pairs of Tandem Mass Spectra: Applications to Database Search

    Sangtae Kim;Nikolai Mischerikow;Nuno Bandeira;Nuno Bandeira;J. Daniel Navarro

  • MS/MS networking guided analysis of molecule and gene cluster families

    [No Value] Don Duy Nguyen;Cheng-Hsuan Wu;Wilna J. Moree;Anne Lamsa

  • Interkingdom metabolic transformations captured by microbial imaging mass spectrometry

    Wilna J. Moree;Vanessa V. Phelan;Cheng-Hsuan Wu;Nuno Bandeira

  • Mass spectrometry searches using MASST

    Mingxun Wang;Alan K. Jarmusch;Fernando Vargas;Fernando Vargas;Alexander A. Aksenov

  • Protein identification by spectral networks analysis

    Nuno Bandeira;Dekel Tsur;Ari Frank;Pavel A. Pevzner

  • Discovering and linking public omics data sets using the Omics Discovery Index

    Yasset Perez-Riverol;Mingze Bai;Mingze Bai;Mingze Bai;Felipe Da Veiga Leprevost;Silvano Squizzato

  • Molecular networking and pattern-based genome mining improves discovery of biosynthetic gene clusters and their products from Salinispora species.

    Katherine R. Duncan;Max Crüsemann;Anna Lechner;Anindita Sarkar

  • A high-stringency blueprint of the human proteome

    Subash Adhikari;Edouard C. Nice;Edouard C. Nice;Eric W Deutsch;Lydie Lane

  • Fast multi-blind modification search through tandem mass spectrometry

    Seungjin Na;Nuno Bandeira;Nuno Bandeira;Eunok Paek

  • False discovery rates in spectral identification

    Kyowon Jeong;Sangtae Kim;Nuno Bandeira;Nuno Bandeira

  • Feature-based Molecular Networking in the GNPS Analysis Environment

    Louis Felix Nothias;Daniel Petras;Robin Schmid;Kai Dührkop

Frequent Co-Authors

Pieter C. Dorrestein
Pieter C. Dorrestein University of California, San Diego
Pavel A. Pevzner
Pavel A. Pevzner University of California, San Diego
Rob Knight
Rob Knight University of California, San Diego
Theodore Alexandrov
Theodore Alexandrov European Molecular Biology Laboratory
Eric W. Deutsch
Eric W. Deutsch University of Washington
Bradley S. Moore
Bradley S. Moore University of California, San Diego
Justin J. J. van der Hooft
Justin J. J. van der Hooft Wageningen University & Research
Daniel Petras
Daniel Petras University of California, Riverside
William H. Gerwick
William H. Gerwick University of California, San Diego
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor

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