World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
69
Citations
20213
World Ranking
2016
National Ranking
47

Johnson Y.N. Lau 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 Johnson Y.N. Lau 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: 264 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 233 scientists 205–214 publications: 207 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: 194 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Johnson Y.N. Lau 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 Johnson Y.N. Lau 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: 111 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 122 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: 93 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: 69 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Johnson Y.N. Lau is affiliated with Hong Kong Baptist University in China and has contributed to research primarily in the field of Medicine.

Their research spans several subfields including Molecular Biology, Infectious Diseases, Biomedical Engineering, Physiology, and Computational Theory and Mathematics. Core research topics addressed in their work include SARS-CoV-2 detection and testing, biosensors and analytical detection, Alzheimer's disease research and treatments, bioinformatics and genomic networks, computational drug discovery methods, advanced biosensing and bioanalysis techniques, and Myasthenia Gravis and Thymoma.

Among the recent papers authored or co-authored by Johnson Y.N. Lau are:

  • "Apolipoprotein E Gene Revisited: Contribution of Rare Variants to Alzheimer's Disease Susceptibility in Southern Chinese" (2021, Current Alzheimer Research)
  • "Automated System for Multiplexing Detection of COVID-19 and Other Respiratory Pathogens" (2022, IEEE Journal of Translational Engineering in Health and Medicine)
  • "237P Advancing the understanding of VAMP1-related congenital myasthenic syndrome: phenotypic insights, favorable response to 3,4-diaminopyridine, and clinical characterization of five new cases" (2024, Neuromuscular Disorders)
  • "Predicting Side Effects of Drugs using the New Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) Freely-available at www.gutrhythm.com (Abstract ID: 191381)" (2025, Journal of Pharmacology and Experimental Therapeutics)
  • "Laboratory Validation of a Fully Automated Point-of-Care Device for High-Order Multiplexing Real-Time PCR Detection of Respiratory Pathogens" (2025, Diagnostics)

Frequent co-authors collaborating with Johnson Y.N. Lau include:

  • Teresa Chung
  • Manson Fok
  • Lok Ting Lau
  • Anita Yee
  • Nancy B. Y. Tsui

Johnson Y.N. Lau has published across various venues with equal representation in:

  • Current Alzheimer Research
  • IEEE Journal of Translational Engineering in Health and Medicine
  • Neuromuscular Disorders
  • Journal of Pharmacology and Experimental Therapeutics
  • Diagnostics

Best Publications

  • A proposed system for the nomenclature of hepatitis C viral genotypes

    P Simmonds;A Alberti;H J Alter;F Bonino

  • Significance of serum hepatitis C virus RNA levels in chronic hepatitis C

    J.Y.N Lau;G.L Davis;J Kniffen;K.-P Qian

  • Association of diabetes mellitus and chronic hepatitis C virus infection.

    Andrew L. Mason;Johnson Y. Lau;Nicole Hoang;KePing Qian

  • Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.

    Kang Zhang;Xiaohong Liu;Jun Shen;Zhihuan Li

  • A vaccine targeting the RBD of the S protein of SARS-CoV-2 induces protective immunity.

    Jingyun Yang;Wei Wang;Zimin Chen;Shuaiyao Lu

  • New hepatitis C virus (HCV) genotyping system that allows for identification of HCV genotypes 1a, 1b, 2a, 2b, 3a, 3b, 4, 5a, and 6a.

    O Ohno;M Mizokami;R R Wu;M G Saleh

  • RNAi-based treatment of chronically infected patients and chimpanzees reveals that integrated hepatitis B virus DNA is a source of HBsAg

    Christine I. Wooddell;Man Fung Yuen;Henry Lik Yuen Chan;Robert G. Gish

  • Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China.

    Xin Xu;Jian Sun;Sheng Nie;Huiyuan Li

  • Mechanism of action of ribavirin in the combination treatment of chronic HCV infection

    Johnson Y. N. Lau;Robert C. Tam;T. Jake Liang;Zhi Hong

  • A controlled trial of interferon with or without prednisone priming for chronic hepatitis B

    Anna S.F. Lok;Pui Chee Wu;Ching Lung Lai;Johnson Y.N. Lau

  • COVID-19 in early 2021: current status and looking forward.

    Chengdi Wang;Zhoufeng Wang;Guangyu Wang;Johnson Yiu-Nam Lau

  • Chronic hepatitis B: Virology, natural history, current management and a glimpse at future opportunities.

    Robert G. Gish;Bruce D. Given;Ching-Lung Lai;Stephen A. Locarnini

  • Quantitative detection of hepatitis C virus RNA with a solid-phase signal amplification method: definition of optimal conditions for specimen collection and clinical application in interferon-treated patients.

    Gary L. Davis;Johnson Y.-N. Lau;Mickie S. Urdea;Paul D. Neuwald

  • Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

    Kang Zhang;Xiaohong Liu;Jie Xu;Jie Xu;Jin Yuan

  • Ribavirin Inhibits West Nile Virus Replication and Cytopathic Effect in Neural Cells

    Ingo Jordan;Thomas Briese;Nicole Fischer;Johnson Yiu-Nam Lau

  • Recombinant interferon-α in inoperable hepatocellular carcinoma: A randomized controlled trial

    Ching-Lung Lai;Johnson Y. N. Lau;Pui-Chee Wu;Henry Ngan

  • A novel mechanism to ensure terminal initiation by hepatitis C virus NS5B polymerase.

    Zhi Hong;Craig E. Cameron;Michelle P. Walker;Christian Castro

  • Activation of Tumor Necrosis Factor-α System in Chronic Hepatitis C Virus Infection

    David R. Nelson;Herbert L. Lim;Constantine G. Marousis;Jane W. S. Fang

  • Distribution of hepatitis C virus genotypes determined by line probe assay in patients with chronic hepatitis C seen at tertiary referral centers in the United States

    Johnson Y.N. Lau;Gary L. Davis;Linda E. Prescott;Geert Maertens

  • Application of Six Hepatitis C Virus Genotyping Systems to Sera from Chronic Hepatitis C Patients in the United States

    Johnson Y. N. Lau;Masashi Mizokami;Janice A. Kolberg;Gary L. Davis

  • The efficacy of prophylactic interferon alfa-2b in preventing recurrent hepatitis C after liver transplantation

    Patricia A. Sheiner;Peter Boros;Franklin M. Klion;Swan N. Thung

Frequent Co-Authors

Masashi Mizokami
Masashi Mizokami National Center For Global Health and Medicine
Gary L. Davis
Gary L. Davis University of Florida
Ching-Lung Lai
Ching-Lung Lai University of Hong Kong
Etsuro Orito
Etsuro Orito Japanese Red Cross Nagoya Daini Hospital
Robert G. Gish
Robert G. Gish University of Nevada Reno
Kang Zhang
Kang Zhang Macau University of Science and Technology
David R. Nelson
David R. Nelson University of Tennessee Health Science Center
Takashi Gojobori
Takashi Gojobori King Abdullah University of Science and Technology
Stephen Locarnini
Stephen Locarnini Melbourne Health
Man-Fung Yuen
Man-Fung Yuen University of Hong Kong

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