World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
22086
World Ranking
11687
National Ranking
5026

Nuno Bandeira publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Nuno Bandeira sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 134 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Nuno Bandeira D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Nuno Bandeira sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 60 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Nuno Bandeira

Trending Scientists

Recently Published Articles