World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
48
Citations
7447
World Ranking
4711
National Ranking
137

Earl G. Brown publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Earl G. Brown sits on this spectrum.

55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 265 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 234 scientists 205–214 publications: 208 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55 publications 679+

This scientist: 103 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 679 publications or more.

Earl G. Brown D-index placement in Microbiology in 2026

The chart shows the D-index (discipline H-index) distribution of Microbiology scientists ranked by Research.com in 2026. The highlighted bar marks where Earl G. Brown sits on this spectrum.

40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 112 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 123 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 94 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 48 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

Overview

Earl G. Brown is affiliated with the University of Ottawa in Canada. Their research spans multiple fields, primarily focused on Medicine and Biochemistry, Genetics and Molecular Biology.

Brown's work involves several subfields, including Molecular Biology, Oncology, Biomedical Engineering, Neurology, and Pulmonary and Respiratory Medicine. The main topics of their research cover RNA regulation and disease, Cancer Cells and Metastasis, 3D Printing in Biomedical Research, Respiratory Support and Mechanisms, Animal Testing and Alternatives, the Delphi Technique in Research, and Cancer, Hypoxia, and Metabolism.

The following papers illustrate the scope and diversity of their recent research output:

  • "Surrogate Humane Endpoints in Small Animal Models of Acute Lung Injury: A Modified Delphi Consensus Study of Researchers and Laboratory Animal Veterinarians," 2020, published in Critical Care Medicine
  • "Generation and Evaluation of Hydrogel-Facilitated 3D Tumor Microenvironments of Breast Cancer," 2022, published in Nano LIFE
  • "Erratum: Generation and Evaluation of Hydrogel-Facilitated 3D Tumor Microenvironments of Breast Cancer," 2023, published in Nano LIFE
  • "Variants in Lrrk2 and Snca deficiency do not alter the course of primary encephalitis due to neurotropic reovirus T3D in newborn mice," 2024, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "A Protocol for Neuralized Murine Olfactory Organoids," 2024, published in bioRxiv (Cold Spring Harbor Laboratory)

Brown has frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Nano LIFE, Critical Care Medicine, and PLoS ONE. Their most frequent publication venue is bioRxiv, with three papers published there, followed by two papers in Nano LIFE.

Collaborations are an important aspect of Brown's research. Frequent co-authors include:

  • Julianna J. Tomlinson
  • Michael G. Schlossmacher
  • Michaela Lunn
  • Sheba Goklany
  • Lauryn De La Torre

Best Publications

  • VSV strains with defects in their ability to shutdown innate immunity are potent systemic anti-cancer agents

    David F Stojdl;Brian D Lichty;Benjamin R tenOever;Jennifer M Paterson

  • Influenza Virus Receptor Specificity and Cell Tropism in Mouse and Human Airway Epithelial Cells

    Aida Ibricevic;Andrew Pekosz;Michael J. Walter;Celeste Newby

  • Characterization of transgenic mice with targeted disruption of the catalytic domain of the double-stranded RNA-dependent protein kinase, PKR.

    Ninan Abraham;David F. Stojdl;Peter I. Duncan;Nathalie Méthot

  • Influenza Infection Leads to Increased Susceptibility to Subsequent Bacterial Superinfection by Impairing NK Cell Responses in the Lung

    Cherrie-Lee Small;Christopher R. Shaler;Sarah McCormick;Mangalakumari Jeyanathan

  • The Murine Double-Stranded RNA-Dependent Protein Kinase PKR Is Required for Resistance to Vesicular Stomatitis Virus

    David F. Stojdl;Ninan Abraham;Shane Knowles;Ricardo Marius

  • Antigenic and genetic characterization of H9N2 swine influenza viruses in China.

    Yan L. Cong;Juan Pu;Qin F. Liu;Shuai Wang

  • Adaptive mutation in influenza A virus non-structural gene is linked to host switching and induces a novel protein by alternative splicing

    Mohammed Selman;Samar K Dankar;Nicole E Forbes;Jian-Jun Jia

  • Quantitative Proteomic Analyses of Influenza Virus-Infected Cultured Human Lung Cells

    Kevin M. Coombs;Alicia Berard;Wanhong Xu;Oleg Krokhin

  • Distinct binding sites for zinc and double-stranded RNA in the reovirus outer capsid protein sigma 3.

    L. A. Schiff;M. L. Nibert;Man Sung Co;E. G. Brown

  • Genotypic evolution and antigenic drift of H9N2 influenza viruses in China from 1994 to 2008.

    Yipeng Sun;Juan Pu;Zhanlei Jiang;Tao Guan

  • Translational control of the activation of transcription factor NF-κB and production of type I interferon by phosphorylation of the translation factor eIF4E

    Barbara Herdy;Maritza Jaramillo;Yuri V Svitkin;Amy B Rosenfeld

  • Cigarette smoke impacts immune inflammatory responses to influenza in mice.

    Clinton S. Robbins;Carla M. T. Bauer;Neda Vujicic;Gordon J. Gaschler

  • Negative Regulation of Lung Inflammation and Immunopathology by TNF-α during Acute Influenza Infection

    Daniela Damjanovic;Maziar Divangahi;Kapilan Kugathasan;Cherrie-Lee Small

  • Pandemic H1N1 Influenza Infection and Vaccination in Humans Induces Cross-Protective Antibodies that Target the Hemagglutinin Stem

    C. A. Thomson;Y. Wang;L. M. Jackson;M. Olson

  • The influenza virus variant A/FM/1/47-MA possesses single amino acid replacements in the hemagglutinin, controlling virulence, and in the matrix protein, controlling virulence as well as growth.

    C A Smeenk;E G Brown

  • Universal anti-neuraminidase antibody inhibiting all influenza A subtypes.

    Tracey M. Doyle;Anwar M. Hashem;Anwar M. Hashem;Changgui Li;Gary Van Domselaar

  • Reovirus ςNS Protein Is Required for Nucleation of Viral Assembly Complexes and Formation of Viral Inclusions

    Michelle M. Becker;Mehmet I. Goral;Paul R. Hazelton;Geoffrey S. Baer

  • Experimental Evolution of Human Influenza Virus H3 Hemagglutinin in the Mouse Lung Identifies Adaptive Regions in HA1 and HA2

    Liya Keleta;Aida Ibricevic;Nicolai V. Bovin;Steven L. Brody

  • Treating viral exacerbations of chronic obstructive pulmonary disease: insights from a mouse model of cigarette smoke and H1N1 influenza infection.

    Carla M. T. Bauer;Caleb C. J. Zavitz;Fernando M. Botelho;Kristen N. Lambert

  • Genomic and Protein Structural Maps of Adaptive Evolution of Human Influenza A Virus to Increased Virulence in the Mouse

    Jihui Ping;Liya Keleta;Liya Keleta;Nicole E. Forbes;Nicole E. Forbes;Samar Dankar;Samar Dankar

  • Responses in the Lung Superinfection by Impairing NK Cell Susceptibility to Subsequent Bacterial Influenza Infection Leads to Increased

    Charu Kaushic;Ali A. Ashkar;Zhou Xing Damjanovic;Earl G. Brown

Frequent Co-Authors

Brian D. Lichty
Brian D. Lichty McMaster University
Nahum Sonenberg
Nahum Sonenberg McGill University
Gary Van Domselaar
Gary Van Domselaar Public Health Agency of Canada
Martin R. Stämpfli
Martin R. Stämpfli McMaster University
Eleanor N. Fish
Eleanor N. Fish University of Toronto
John C. Bell
John C. Bell University of Ottawa
Zhou Xing
Zhou Xing McMaster University
Aeron C. Hurt
Aeron C. Hurt Roche (Switzerland)
Karen L. Mossman
Karen L. Mossman McMaster University
Ali A. Ashkar
Ali A. Ashkar McMaster University

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