World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
75
Citations
25272
World Ranking
1888
National Ranking
237

Fiona Lalloo 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 Lalloo 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: 224 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Fiona Lalloo 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 Lalloo 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: 75 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Fiona Lalloo is affiliated with the University of Manchester in the United Kingdom. Their research focuses primarily on genetics and oncology, with a broad scope encompassing molecular biology and cancer research.

Their recent publications cover a range of topics related to genetic predispositions, cancer genetics, and molecular mechanisms. Notable papers include:

  • Disease expression in juvenile polyposis syndrome: a retrospective survey on a cohort of 221 European patients and comparison with a literature-derived cohort of 473 SMAD4/BMPR1A pathogenic variant carriers (2020, Genetics in Medicine)
  • Eflornithine plus Sulindac for Prevention of Progression in Familial Adenomatous Polyposis (2020, New England Journal of Medicine)
  • Inherited MUTYH mutations cause elevated somatic mutation rates and distinctive mutational signatures in normal human cells (2022, Nature Communications)
  • Surveillance recommendations for DICER1 pathogenic variant carriers: a report from the SIOPE Host Genome Working Group and CanGene-CanVar Clinical Guideline Working Group (2021, Familial Cancer)
  • The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant (2021, Genetics in Medicine)

The core topics of Fiona Lalloo's work include:

  • BRCA gene mutations in cancer
  • Genetic factors in colorectal cancer
  • Cancer Genomics and Diagnostics
  • DNA Repair Mechanisms
  • Global Cancer Incidence and Screening
  • Ovarian cancer diagnosis and treatment
  • Genomic variations and chromosomal abnormalities

Lalloo's research is published frequently in the following venues:

  • Journal of Medical Genetics
  • Genetics in Medicine
  • Cancers
  • Familial Cancer
  • European Journal of Human Genetics

Collaboration is a significant aspect of their work, with frequent co-authors including:

  • D. Gareth Evans
  • Emma R. Woodward
  • Anthony Howell
  • Sacha J. Howell
  • Elaine F. Harkness

Fiona Lalloo's main fields of study reflect an interdisciplinary approach involving:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Subfields of particular focus within their research include:

  • Genetics
  • Oncology
  • Cancer Research
  • Pathology and Forensic Medicine
  • Molecular Biology

Best Publications

  • Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: a combined analysis of 22 studies

    A. Antoniou;P.D.P. Pharoah;S. Narod;H.A. Risch

  • Birth incidence and prevalence of tumor-prone syndromes: estimates from a UK family genetic register service.

    D.G. Evans;E. Howard;E. Howard;C. Giblin;C. Giblin;T. Clancy;T. Clancy

  • Prediction of BRCA1 Status in Patients with Breast Cancer Using Estrogen Receptor and Basal Phenotype

    Sunil R. Lakhani;Jorge S. Reis-Filho;Laura Fulford;Frederique Penault-Llorca

  • The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions.

    A C Antoniou;A P Cunningham;J Peto;D G Evans

  • Germline mutations in RAD51D confer susceptibility to ovarian cancer

    Chey Loveday;Clare Turnbull;Emma Ramsay;Deborah Hughes

  • Cancer risk and survival in path_MMR carriers by gene and gender up to 75 years of age: a report from the Prospective Lynch Syndrome Database

    Pål Møller;Toni T Seppälä;Inge Bernstein;Inge Bernstein;Elke Holinski-Feder

  • Cancer incidence and survival in Lynch syndrome patients receiving colonoscopic and gynaecological surveillance: first report from the prospective Lynch syndrome database

    Pal Moller;Toni Seppala;Inge Bernstein;Inge Bernstein;Elke Holinski-Feder

  • Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database

    Mev Dominguez-Valentin;Julian R. Sampson;Toni T. Seppälä;Sanne W. ten Broeke

  • Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database

    Bryony A Thompson;Bryony A Thompson;Amanda B Spurdle;John-Paul Plazzer;Marc S Greenblatt

  • Tumor risks and genotype–phenotype–proteotype analysis in 358 patients with germline mutations in SDHB and SDHD

    Christopher J. Ricketts;Julia R. Forman;Eleanor Rattenberry;Nicola Bradshaw

  • Whole-genome sequencing of patients with rare diseases in a national health system

    Ernest Turro;William J Astle;Karyn Megy;Stefan Graf

  • Guidelines for the management of hereditary colorectal cancer from the British Society of Gastroenterology (BSG)/Association of Coloproctology of Great Britain and Ireland (ACPGBI)/United Kingdom Cancer Genetics Group (UKCGG)

    Kevin J Monahan;Nicola Bradshaw;Sunil Dolwani;Bianca Desouza

  • Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

    Roger L Milne;Roger L Milne;Karoline B Kuchenbaecker;Karoline B Kuchenbaecker;Kyriaki Michailidou;Kyriaki Michailidou;Jonathan Beesley

  • Cumulative lifetime incidence of extracolonic cancers in Lynch syndrome: a report of 121 families with proven mutations

    Emma Barrow;L. Robinson;W. Alduaij;A. Shenton

  • Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme

    E Amir;D G Evans;A Shenton;F Lalloo

  • Risk of cancer other than breast or ovarian in individuals with BRCA1 and BRCA2 mutations.

    Anthony Moran;C O'Hara;S Khan;Lorraine G Shack

  • Haplotype and phenotype analysis of nine recurrent BRCA2 mutations in 111 families: results of an international study

    Susan L. Neuhausen;Sylvie Mazoyer;Lori Friedman;Michael Stratton

  • Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers

    Karoline B Kuchenbaecker;Karoline B Kuchenbaecker;Lesley McGuffog;Daniel Barrowdale;Andrew Lee

  • A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO.

    D G R Evans;D M Eccles;N Rahman;K Young

  • Penetrance estimates for BRCA1 and BRCA2 based on genetic testing in a Clinical Cancer Genetics service setting: Risks of breast/ovarian cancer quoted should reflect the cancer burden in the family

    D Gareth R Evans;Andrew Shenton;Emma Woodward;Fiona Lalloo

Frequent Co-Authors

D. Gareth Evans
D. Gareth Evans University of Manchester
Anthony Howell
Anthony Howell University of Manchester
Antonis C. Antoniou
Antonis C. Antoniou University of Cambridge
Diana Eccles
Diana Eccles University of Southampton
Douglas F. Easton
Douglas F. Easton University of Cambridge
Heli Nevanlinna
Heli Nevanlinna University of Helsinki
Paolo Radice
Paolo Radice Fondazione IRCCS Istituto Nazionale dei Tumori
Katherine L. Nathanson
Katherine L. Nathanson University of Pennsylvania
Georgia Chenevix-Trench
Georgia Chenevix-Trench QIMR Berghofer Medical Research Institute

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