World's Best Scientists 2026 revealed!
Fiona S. L. Brinkman

Fiona S. L. Brinkman

D-Index & Metrics

Genetics

D-Index
70
Citations
37006
World Ranking
2231
National Ranking
74

Fiona S. L. Brinkman publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Fiona S. L. Brinkman sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 134 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Fiona S. L. Brinkman D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Fiona S. L. Brinkman sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 70 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2018 - Fellow of the Royal Society of Canada Academy of Science

Overview

Fiona S. L. Brinkman is affiliated with Simon Fraser University in Canada. Their research spans multiple fields within medicine and biochemistry, genetics, and molecular biology, with a particular focus on molecular biology, infectious diseases, genetics, public health, environmental and occupational health, and epidemiology.

The primary topics addressed in their work include genomics and phylogenetic studies, gut microbiota and health, antibiotic resistance in bacteria, SARS-CoV-2 and COVID-19 research, bacterial biofilms and quorum sensing, bacterial genetics and biotechnology, and the application of machine learning in bioinformatics.

Frequent collaborators in their research activities include Geoffrey L. Winsor, Padmaja Subbarao, Baofeng Jia, Meghan B. Azad, and Theo J. Moraes.

Their publication record features papers in journals such as bioRxiv (Cold Spring Harbor Laboratory), Microbial Genomics, Zenodo (CERN European Organization for Nuclear Research), Nucleic Acids Research, and The Lancet Respiratory Medicine.

Selected recent papers include:

  • CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database, 2022, Nucleic Acids Research
  • Decreasing antibiotic use, the gut microbiota, and asthma incidence in children: evidence from population-based and prospective cohort studies, 2020, The Lancet Respiratory Medicine
  • Metagenome-assembled genome binning methods with short reads disproportionately fail for plasmids and genomic Islands, 2020, Microbial Genomics
  • Bacterial cyclic diguanylate signaling networks sense temperature, 2021, Nature Communications
  • Composition and Associations of the Infant Gut Fungal Microbiota with Environmental Factors and Childhood Allergic Outcomes, 2021, mBio

Brinkman's scientific contributions often intersect with studies analyzing antibiotic resistance, gut microbiota, and microbial genomics, leveraging bioinformatics tools and machine learning techniques in microbial and genetic research.

They have been recognized as a Fellow of the Royal Society of Canada since 2018, under the Academy of Science.

Best Publications

  • Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen.

    C. K. Stover;X. Q. Pham;A. L. Erwin;S. D. Mizoguchi

  • PSORTb 3.0

    Nancy Y. Yu;James R. Wagner;Matthew R. Laird;Gabor Melli

  • CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database

    Baofeng Jia;Amogelang R. Raphenya;Brian P. Alcock;Nicholas Waglechner

  • CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database

    Brian P. Alcock;Amogelang R. Raphenya;Tammy T. Y. Lau;Kara K. Tsang

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

    Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs

  • InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation

    Karin Breuer;Amir K. Foroushani;Matthew R. Laird;Carol Chen

  • IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets.

    Claire Bertelli;Matthew R. Laird;Kelly P. Williams;Britney Y. Lau

  • Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database

    Geoffrey L. Winsor;Emma J. Griffiths;Raymond Lo;Bhavjinder K. Dhillon

  • PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis

    J. L. Gardy;M. R. Laird;F. Chen;S. Rey

  • Whole-genome sequencing and social-network analysis of a tuberculosis outbreak.

    Jennifer L Gardy;James C Johnston;Shannan J Ho Sui;Victoria J Cook

  • The complete genome of Rhodococcus sp. RHA1 provides insights into a catabolic powerhouse

    Michael P. McLeod;René L. Warren;William W. L. Hsiao;Naoto Araki

  • Pseudomonas Genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomes

    Geoffrey L. Winsor;David K. W. Lam;Leanne Fleming;Raymond Lo

  • Modulation of the TLR-Mediated Inflammatory Response by the Endogenous Human Host Defense Peptide LL-37

    Neeloffer Mookherjee;Kelly L. Brown;Dawn M. E. Bowdish;Silvana Doria

  • Protein interaction data curation: the International Molecular Exchange (IMEx) consortium

    Sandra Orchard;Samuel Kerrien;Sara Abbani;Bruno Aranda

  • PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.

    Jennifer L. Gardy;Cory Spencer;Ke Wang;Martin Ester

  • IslandViewer: an integrated interface for computational identification and visualization of genomic islands.

    Morgan G. I. Langille;Fiona S. L. Brinkman

  • InnateDB: facilitating systems-level analyses of the mammalian innate immune response

    David J Lynn;David J Lynn;Geoffrey L Winsor;Calvin Chan;Nicolas Richard

  • Newly introduced genomic prophage islands are critical determinants of in vivo competitiveness in the Liverpool Epidemic Strain of Pseudomonas aeruginosa.

    Craig Winstanley;Morgan G.I. Langille;Joanne L. Fothergill;Irena Kukavica-Ibrulj

  • Function of pseudomonas porins in uptake and efflux.

    Robert E W Hancock;Fiona S L Brinkman

  • IslandPath: aiding detection of genomic islands in prokaryotes.

    William W. L. Hsiao;Ivan Wan;Steven J. Jones;Fiona S. L. Brinkman

Frequent Co-Authors

Robert E. W. Hancock
Robert E. W. Hancock University of British Columbia
Gary Van Domselaar
Gary Van Domselaar Public Health Agency of Canada
Robert G. Beiko
Robert G. Beiko Dalhousie University
Steven J.M. Jones
Steven J.M. Jones University of British Columbia
B. Brett Finlay
B. Brett Finlay University of British Columbia
Karsten Hokamp
Karsten Hokamp Trinity College Dublin
Lorne A. Babiuk
Lorne A. Babiuk University of Alberta
Andrew G. McArthur
Andrew G. McArthur McMaster University
Roger C. Levesque
Roger C. Levesque Université Laval
Robert A. Holt
Robert A. Holt BC Cancer Research Institute

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Related Online Degrees & Career Pathways

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These online degrees offer flexible and affordable ways to specialize and build a rewarding career that intersects with genetic sciences.

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