World's Best Scientists 2026 revealed!
Lisa A. Cannon-Albright

Lisa A. Cannon-Albright

D-Index & Metrics

Genetics

D-Index
79
Citations
44830
World Ranking
1609
National Ranking
741

Medicine

D-Index
83
Citations
46671
World Ranking
15349
National Ranking
7740

Lisa A. Cannon-Albright 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 Lisa A. Cannon-Albright 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: 367 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Lisa A. Cannon-Albright 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 Lisa A. Cannon-Albright 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: 79 D-Index — 63rd percentile

63% 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

  • 2013 - Fellow, National Academy of Inventors

Overview

What is she best known for?

The fields of study she is best known for:

  • Cancer
  • Gene
  • Internal medicine

Lisa A. Cannon-Albright mostly deals with Genetics, Internal medicine, Oncology, Genome-wide association study and Locus. Her studies in Cancer, Breast cancer, Risk factor and Relative risk are all subfields of Internal medicine research. The concepts of her Oncology study are interwoven with issues in Genetic model, Survival analysis and Age of onset.

Lisa A. Cannon-Albright has included themes like SNP, PROSTATE CANCER SUSCEPTIBILITY, Case-control study and Genetic association in her Genome-wide association study study. Her Locus research is multidisciplinary, incorporating elements of Microsatellite and Melanoma. Her study looks at the relationship between Genotype and topics such as Prostate cancer, which overlap with Prostate.

Her most cited work include:

  • A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1 (5177 citations)
  • Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families (2565 citations)
  • Systematic population-based assessment of cancer risk in first-degree relatives of cancer probands. (883 citations)

What are the main themes of her work throughout her whole career to date?

The scientist’s investigation covers issues in Internal medicine, Genetics, Oncology, Prostate cancer and Cancer. Gene, Single-nucleotide polymorphism, Genome-wide association study, Pedigree chart and Genetic linkage are the subjects of her Genetics studies. Her Gene research incorporates elements of Cancer research and Melanoma.

Her Oncology research incorporates themes from Survival analysis, Ovarian cancer, Epidemiology and Gynecology. The Prostate cancer study combines topics in areas such as Prostate, Bioinformatics, Germline, Genotype and Hazard ratio. Her Cancer research incorporates themes from Disease and Pathology.

She most often published in these fields:

  • Internal medicine (60.39%)
  • Genetics (57.86%)
  • Oncology (46.60%)

What were the highlights of her more recent work (between 2018-2021)?

  • Internal medicine (60.39%)
  • Prostate cancer (44.27%)
  • Genetics (57.86%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Internal medicine, Prostate cancer, Genetics, Cancer and Gene. Her Internal medicine research is multidisciplinary, incorporating elements of Proband and Oncology. Her research integrates issues of Stage, Breast cancer, Genetic predisposition and Genotype in her study of Oncology.

Lisa A. Cannon-Albright interconnects SNP, Cancer research, Genome-wide association study, Percentile and Hazard ratio in the investigation of issues within Prostate cancer. Her Cancer research includes elements of Young adult, Pediatrics and Cohort study. Her research investigates the connection with Gene and areas like Disease which intersect with concerns in Odds ratio, Pulmonary embolism and ICD-10.

Between 2018 and 2021, her most popular works were:

  • Shared heritability and functional enrichment across six solid cancers (41 citations)
  • Association of Rare Coding Mutations With Alzheimer Disease and Other Dementias Among Adults of European Ancestry (25 citations)
  • Association of Rare Coding Mutations With Alzheimer Disease and Other Dementias Among Adults of European Ancestry (25 citations)

In her most recent research, the most cited papers focused on:

  • Cancer
  • Gene
  • Internal medicine

Her primary areas of study are Prostate cancer, Internal medicine, Genetics, Cancer and Gene. Her Prostate cancer study combines topics from a wide range of disciplines, such as Sample size determination, Genome-wide association study, Oncology, Hazard ratio and Breast cancer. Her Breast cancer study which covers Imputation that intersects with Genetic association.

Her Internal medicine study incorporates themes from Genetic model, ICD-10 and Mutation. Lisa A. Cannon-Albright frequently studies issues relating to CADASIL and Genetics. Her Cancer research integrates issues from Health equity, Multivariate analysis and Case-control study.

Best Publications

  • A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1

    Yoshio Miki;Jeff Swensen;Donna Shattuck-Eidens;P. Andrew Futreal

  • Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families

    D Ford;D F Easton;M Stratton;S Narod

  • REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

    Nilah M M. Ioannidis;Joseph H H. Rothstein;Joseph H H. Rothstein;Vikas Pejaver;Sumit Middha

  • Localization of a breast cancer susceptibility gene, BRCA2, to chromosome 13q12-13

    Richard Wooster;Susan L. Neuhausen;Jonathan Mangion;Yvette Quirk

  • Systematic population-based assessment of cancer risk in first-degree relatives of cancer probands.

    David. E. Goldgar;Douglas. F. Easton;Lisa. A. Cannon-Albright;Mark H. Skolnick

  • The complete BRCA2 gene and mutations in chromosome 13q-linked kindreds.

    S.V. Tavtigian;J. Simard;J. Rommens;F. Couch

  • Analysis of the p16 gene (CDKN2) as a candidate· for the chromosome 9p melanoma susceptibility locus

    A. Kamb;D. Shattuck-Eidens;R. Eeles;R. Eeles;Qingyun Liu

  • Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

    Fredrick R. Schumacher;Ali Amin Al Olama;Sonja I. Berndt;Sara Benlloch

  • Breast Cancer Risk After Bilateral Prophylactic Oophorectomy in BRCA1 Mutation Carriers

    Timothy R. Rebbeck;Albert M. Levin;Andrea Eisen;Carrie Snyder

  • A candidate prostate cancer susceptibility gene at chromosome 17p.

    Sean V. Tavtigian;Jacques Simard;David H F Teng;Vicki Abtin

  • Assignment of a locus for familial melanoma, MLM, to chromosome 9p13-p22.

    Lisa A. Cannon-Albright;David E. Goldgar;Laurence J. Meyer;Cathryn M. Lewis

  • Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

    Rosalind A. Eeles;Ali Amin Al Olama;Sara Benlloch;Edward J. Saunders

  • Common inheritance of susceptibility to colonic adenomatous polyps and associated colorectal cancers.

    L A Cannon-Albright;M H Skolnick;D T Bishop;R G Lee

  • Genome-wide association study identifies three loci associated with melanoma risk.

    D Timothy Bishop;Florence Demenais;Mark M Iles;Mark Harland

  • A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

    Ali Amin Al Olama;Zsofia Kote-Jarai;Sonja I. Berndt;David V. Conti

  • Features associated with germline CDKN2A mutations: a GenoMEL study of melanoma‐prone families from three continents

    Alisa M Goldstein;May Chan;Mark Harland;Nicholas K Hayward

  • BRCA1 Sequence Analysis in Women at High Risk for Susceptibility Mutations: Risk Factor Analysis and Implications for Genetic Testing

    Donna Shattuck-Eidens;Arnold Oliphant;Melody McClure;Celeste McBride

  • Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

    Rosalind A. Eeles;Zsofia Kote-Jarai;Ali Amin Al Olama;Graham G. Giles;Graham G. Giles

  • High-risk Melanoma Susceptibility Genes and Pancreatic Cancer, Neural System Tumors, and Uveal Melanoma across GenoMEL

    Alisa M. Goldstein;May Chan;Mark Harland;Elizabeth M. Gillanders

  • Cancer risks in two large breast cancer families linked to BRCA2 on chromosome 13q12-13.

    D F Easton;L Steele;P Fields;W Ormiston

Frequent Co-Authors

Graham G. Giles
Graham G. Giles University of Melbourne
Johanna Schleutker
Johanna Schleutker Turku University Hospital
Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
David E. Neal
David E. Neal University of Cambridge
Kenneth W. Muir
Kenneth W. Muir University of Manchester
Rosalind A. Eeles
Rosalind A. Eeles Institute of Cancer Research
Jyotsna Batra
Jyotsna Batra Queensland University of Technology
Mark H. Skolnick
Mark H. Skolnick Myriad Genetics (Germany)
Manuel R. Teixeira
Manuel R. Teixeira University of Porto
Henrik Grönberg
Henrik Grönberg Karolinska Institute

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