World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
68
Citations
14164
World Ranking
2448
National Ranking
85

Paul N. Baird 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 Paul N. Baird 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: 241 publications — 64th percentile

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

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

Paul N. Baird 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 Paul N. Baird 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: 68 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Paul N. Baird is affiliated with the University of Melbourne in Australia. Their research primarily centers on medicine, with a significant focus on ophthalmology and related subfields such as radiology, nuclear medicine, imaging, public health, environmental and occupational health, physiology, and epidemiology.

The scientist's recent publications include work on a variety of topics within ophthalmology and vision science. Notable papers authored or co-authored by Paul N. Baird include:

  • Myopia, 2020, published in Nature Reviews Disease Primers
  • Eye rubbing in the aetiology of keratoconus: a systematic review and meta-analysis, 2021, published in Graefe's Archive for Clinical and Experimental Ophthalmology
  • A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus, 2021, published in Communications Biology
  • Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus, 2020, published in Translational Vision Science & Technology
  • Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and Evaluation, 2020, published in Translational Vision Science & Technology

Baird works frequently with several co-authors, including Srujana Sahebjada, Ke Cao, Justin Yeung, Heather Machin, and Elsie Chan. These collaborations reflect a research network that spans multiple areas within ophthalmology and vision research.

The primary venues for Paul N. Baird's publications include:

  • Cornea
  • Translational Vision Science & Technology
  • ANZ Journal of Surgery
  • Clinical and Experimental Ophthalmology
  • Research Square

Research interests cover a range of ophthalmologic topics, with particular emphasis on:

  • Corneal surgery and disorders
  • Glaucoma and retinal disorders
  • Corneal surgery and treatments
  • Ocular surface and contact lens
  • Retinal diseases and treatments
  • Nutrition and health in aging
  • Ophthalmology and visual impairment studies

The combination of these main topics and subfields reveals an engagement with both clinical and translational research, spanning from genetic studies and disease mechanisms to applied medical technologies such as machine learning and artificial intelligence in vision science.

Best Publications

  • A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

    Lars G. Fritsche;Wilmar Igl;Jessica N.Cooke Bailey;Felix Grassmann

  • Seven new loci associated with age-related macular degeneration

    Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan

  • Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

    Virginie J M Verhoeven;Pirro G Hysi;Robert Wojciechowski;Robert Wojciechowski;Qiao Fan

  • Common variants near FRK/COL10A1 and VEGFA are associated with advanced age-related macular degeneration

    Yi Yu;Tushar R. Bhangale;Jesen Fagerness;Jesen Fagerness;Stephan Ripke;Stephan Ripke

  • Androgen Receptor Repeat Length Polymorphism Associated with Male-to-Female Transsexualism

    Lauren May Hare;Pascal Bernard;Francisco J Sanchez;Paul N Baird

  • The epsilon2 and epsilon4 alleles of the apolipoprotein gene are associated with age-related macular degeneration.

    Paul N Baird;Elizabeth Guida;Diep T Chu;Hien T V Vu

  • Heritability of refractive error and ocular biometrics: The Genes in Myopia (GEM) Twin Study

    Mohamed Dirani;Matthew Chamberlain;Sri N. Shekar;Amirul F. M. Islam

  • Expression of the Wilms' tumor gene (WT1) in normal hemopoiesis.

    P N Baird;P J Simmons

  • Multiple Common Susceptibility Variants near BMP Pathway Loci GREM1, BMP4, and BMP2 Explain Part of the Missing Heritability of Colorectal Cancer

    Ian P. M. Tomlinson;Luis G. Carvajal-Carmona;Sara E. Dobbins;Albert Tenesa

  • Ancestral LOXL1 variants are associated with pseudoexfoliation in Caucasian Australians but with markedly lower penetrance than in Nordic people.

    Alex W. Hewitt;Alex W. Hewitt;Shiwani Sharma;Kathryn P. Burdon;Jie Jin Wang

  • Identification of a rare coding variant in complement 3 associated with age-related macular degeneration

    Xiaowei Zhan;David E. Larson;Chaolong Wang;Chaolong Wang;Daniel C. Koboldt

  • Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error

    Ching-Yu Cheng;Ching-Yu Cheng;Maria Schache;M. Kamran Ikram;M. Kamran Ikram;M. Kamran Ikram;Terri L. Young;Terri L. Young

  • Hypomethylation of the IL17RC Promoter Associates with Age-Related Macular Degeneration

    Lai Wei;Baoying Liu;Jingsheng Tuo;Defen Shen

  • Predictors of anti-VEGF treatment response in neovascular age-related macular degeneration

    Robert P. Finger;Robert P. Finger;Sanjeewa S. Wickremasinghe;Paul N. Baird;Robyn H. Guymer

  • Evidence of association of APOE with age-related macular degeneration: a pooled analysis of 15 studies.

    Gareth J. Mckay;Chris C. Patterson;Usha Chakravarthy;Shilpa Dasari

  • Delay to Treatment and Visual Outcomes in Patients Treated With Anti-Vascular Endothelial Growth Factor for Age-Related Macular Degeneration

    Jonathan H Lim;Sanjeewa Wickremasinghe;Jing Xie;Devinder Singh Chauhan

  • Oncogenic point mutations in exon 20 of the RB1 gene in families showing incomplete penetrance and mild expression of the retinoblastoma phenotype.

    Zerrin Onadim;Annette Hogg;Paul N. Baird;John K. Cowell

  • Amyloid precursor protein processing and retinal pathology in mouse models of Alzheimer’s disease

    R. Michael Dutescu;R. Michael Dutescu;Qiao-Xin Li;Qiao-Xin Li;Jonathan Crowston;Colin L. Masters;Colin L. Masters

  • Insights into the genetic architecture of early stage age-related macular degeneration: a genome-wide association study meta-analysis

    Elizabeth G. Holliday;Albert V. Smith;Belinda K. Cornes;Gabriëlle H. S. Buitendijk

  • Apolipoprotein (APOE) gene is associated with progression of age-related macular degeneration (AMD).

    Paul N. Baird;Andrea J. Richardson;Luba D. Robman;Peter N. Dimitrov

Frequent Co-Authors

Robyn H. Guymer
Robyn H. Guymer University of Melbourne
David A. Mackey
David A. Mackey University of Western Australia
Paul Mitchell
Paul Mitchell University of Sydney
Jie Jin Wang
Jie Jin Wang University of Sydney
Tien Yin Wong
Tien Yin Wong Tsinghua University
Jamie E. Craig
Jamie E. Craig Flinders University
Alex W. Hewitt
Alex W. Hewitt University of Tasmania
Caroline C W Klaver
Caroline C W Klaver Erasmus University Rotterdam
Seang-Mei Saw
Seang-Mei Saw National University of Singapore
Christopher J. Hammond
Christopher J. Hammond King's College London

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:

Related Online Degrees & Career Pathways

Exploring Genetics as a field opens numerous doors in healthcare and biomedical research. For those interested in combining genetics knowledge with patient care, there are several related online degree pathways to consider in the USA.

Many genetics graduates find their skills in high demand within the nursing sector. Flexible programs like nurse practitioner courses online can help deepen your understanding of clinical genetics and genomics in patient care settings.

If you’re seeking foundational nursing education with a genetics emphasis, the best online nursing programs offer coursework in biology, molecular science, and counseling. Building upon this, graduates can advance to specialized nursing fields.

For those aiming for advanced practice and leadership, the most affordable bsn to dnp programs online provide a direct path to a Doctor of Nursing Practice, integrating genomics into clinical decision-making.

Additionally, registered nurses can expand their career options by enrolling in the cheapest rn to bsn programs to gain broader clinical and genetic insight, leading to diverse roles in genetics counseling, research, or advanced clinical practice.

Best Scientists Citing Paul N. Baird

Trending Scientists

Recently Published Articles