World's Best Scientists 2026 revealed!
Laura Baglietto

Laura Baglietto

D-Index & Metrics

Medicine

D-Index
85
Citations
27585
World Ranking
14566
National Ranking
561

Laura Baglietto publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Laura Baglietto sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 279 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Laura Baglietto D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 85 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Laura Baglietto is affiliated with the University of Pisa in Italy, with a research focus primarily in the field of Medicine. Their academic contributions include 118 publications, spanning multiple subfields and topics with a particular emphasis on Oncology, Genetics, Epidemiology, Molecular Biology, and Infectious Diseases.

Their work addresses several main topics including Cancer Risks and Factors, Inflammatory Bowel Disease, Global Cancer Incidence and Screening, Vaccine Coverage and Hesitancy, Microscopic Colitis, Nutritional Studies and Diet, and Epigenetics and DNA Methylation. These areas reflect a broad engagement with both clinical and population health issues within medicine.

Among their recent scholarly articles are:

  • Breast cancer risk after recent childbirth: A pooled analysis of 15 prospective studies (2024, PubMed)
  • Serum oncostatin M at baseline predicts mucosal healing in Crohn's disease patients treated with infliximab (2020, Alimentary Pharmacology & Therapeutics)
  • Causal mediation analysis in presence of multiple mediators uncausally related (2020, The International Journal of Biostatistics)
  • Investigation of circulating metabolites associated with breast cancer risk by untargeted metabolomics: a case-control study nested within the French E3N cohort (2021, British Journal of Cancer)
  • Psychological distress in the academic population and its association with socio-demographic and lifestyle characteristics during COVID-19 pandemic lockdown: Results from a large multicenter Italian study (2021, PLoS ONE)

Frequent co-authors collaborating with Laura Baglietto include:

  • Marco Fornili
  • Gianluca Severi
  • Lara Tavoschi
  • Graham G. Giles
  • Roger L. Milne

Their research has also been published in notable venues such as UNC Libraries, European Journal of Public Health, PubMed, PLoS ONE, and Breast Cancer Research, indicating a consistency in publishing within reputable subject-related outlets.

Laura Baglietto's work integrates epidemiological methods and molecular insights to explore cancer risk factors, the biology of inflammatory diseases, and public health-related topics. The diversity of publication venues and co-authorships highlights interdisciplinary and collaborative research efforts.

Best Publications

  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev

  • Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

    Fiona M. Blows;Kristy E. Driver;Marjanka K. Schmidt;Annegien Broeks

  • Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini

  • Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies

    Xiaohong R. Yang;Jenny Chang-Claude;Ellen L. Goode;Fergus J. Couch

  • The clinical phenotype of Lynch syndrome due to germ-line PMS2 mutations

    Leigha Senter;Mark Clendenning;Kaisa Sotamaa;Heather Hampel

  • Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer

    Stig E. Bojesen;Stig E. Bojesen;Karen A. Pooley;Sharon E. Johnatty;Jonathan Beesley

  • Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2.

    Shahana Ahmed;Gilles Thomas;Maya Ghoussaini;Catherine S. Healey

  • Heterogeneity of Breast Cancer Associations with Five Susceptibility Loci by Clinical and Pathological Characteristics

    Montserrat Garcia-Closas;Per Hall;Heli Nevanlinna;Karen Pooley

  • Genome-wide association studies identify four ER negative-specific breast cancer risk loci

    Montserrat Garcia-Closas;Fergus J. Couch;Sara Lindstrom;Kyriaki Michailidou

  • Circulating sex hormones and breast cancer risk factors in postmenopausal women: Reanalysis of 13 studies

    T J Key;P N Appleby;G K Reeves;A W Roddam;A W Roddam

  • Risks of Lynch Syndrome Cancers for MSH6 Mutation Carriers

    Laura Baglietto;Noralane M. Lindor;James G. Dowty;Darren M. White

  • GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer

    Paul D.P. Pharoah;Ya Yu Tsai;Susan J. Ramus;Catherine M. Phelan

  • A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor-negative breast cancer in the general population

    Antonis C. Antoniou;Xianshu Wang;Zachary S. Fredericksen;Lesley McGuffog

  • Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis

    Andreas Pettersson;Rebecca E Graff;Giske Ursin;Isabel Dos Santos Silva

  • Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.

    Paige Maas;Myrto Barrdahl;Amit D. Joshi;Paul L. Auer;Paul L. Auer

  • BCL2 in breast cancer: a favourable prognostic marker across molecular subtypes and independent of adjuvant therapy received

    S.-J. Dawson;N. Makretsov;F. M. Blows;K. E. Driver

  • Genome-wide association analysis identifies three new breast cancer susceptibility loci

    Maya Ghoussaini;Olivia Fletcher;Kyriaki Michailidou;Clare Turnbull

  • A common variant at the TERT-CLPTM1L locus is associated with estrogen receptor-negative breast cancer

    Christopher A. Haiman;Gary K. Chen;Celine M. Vachon;Federico Canzian

  • A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2.

    Honglin Song;Susan J. Ramus;Jonathan Tyrer;Kelly L. Bolton;Kelly L. Bolton

  • Inositol polyphosphate 4-phosphatase II regulates PI3K/Akt signaling and is lost in human basal-like breast cancers

    Clare G Fedele;Lisa M Ooms;Miriel Ho;Jessica L Vieusseux

Frequent Co-Authors

Graham G. Giles
Graham G. Giles University of Melbourne
Melissa C. Southey
Melissa C. Southey Monash University
John L. Hopper
John L. Hopper University of Melbourne
Roger L. Milne
Roger L. Milne Cancer Council Victoria
Dallas R. English
Dallas R. English University of Melbourne
Hiltrud Brauch
Hiltrud Brauch German Cancer Research Center
Paul D.P. Pharoah
Paul D.P. Pharoah University of Cambridge
Douglas F. Easton
Douglas F. Easton University of Cambridge
Jenny Chang-Claude
Jenny Chang-Claude German Cancer Research Center

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