World's Best Scientists 2026 revealed!
Salvatore Piscuoglio

Salvatore Piscuoglio

D-Index & Metrics

Genetics

D-Index
56
Citations
11678
World Ranking
3502
National Ranking
74

Salvatore Piscuoglio 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 Salvatore Piscuoglio 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: 205 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Salvatore Piscuoglio 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 Salvatore Piscuoglio 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: 56 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Best Publications

  • Cerebrospinal fluid-derived circulating tumour DNA better represents the genomic alterations of brain tumours than plasma

    Leticia De Mattos-Arruda;Leticia De Mattos-Arruda;Leticia De Mattos-Arruda;Regina Mayor;Charlotte K. Y. Ng;Britta Weigelt

  • Genomic characterization of metastatic breast cancers

    François Bertucci;Charlotte K. Y. Ng;Charlotte K. Y. Ng;Charlotte K. Y. Ng;Anne Patsouris;Nathalie Droin;Nathalie Droin;Nathalie Droin

  • Long noncoding RNA HOTTIP/HOXA13 expression is associated with disease progression and predicts outcome in hepatocellular carcinoma patients

    Luca Quagliata;Matthias S. Matter;Salvatore Piscuoglio;Salvatore Piscuoglio;Leila Arabi

  • Capturing intra-tumor genetic heterogeneity by de novo mutation profiling of circulating cell-free tumor DNA: a proof-of-principle

    L. De Mattos-Arruda;L. De Mattos-Arruda;L. De Mattos-Arruda;B. Weigelt;J. Cortes;H.H. Won

  • Breast cancer intra-tumor heterogeneity.

    Luciano G Martelotto;Charlotte K Y Ng;Salvatore Piscuoglio;Britta Weigelt

  • Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

    Sandro Nuciforo;Isabel Fofana;Matthias S. Matter;Tanja Blumer

  • YAP/TAZ and ATF4 drive resistance to Sorafenib in hepatocellular carcinoma by preventing ferroptosis

    Ruize Gao;Ravi K R Kalathur;Mairene Coto-Llerena;Caner Ercan

  • Cancer-associated fibroblasts release exosomal microRNAs that dictate an aggressive phenotype in breast cancer

    Elvira Donnarumma;Danilo Fiore;Martina Nappa;Giuseppina Roscigno

  • Diverse BRCA1 and BRCA2 Reversion Mutations in Circulating Cell-Free DNA of Therapy-Resistant Breast or Ovarian Cancer

    Britta Weigelt;Iñaki Comino-Méndez;Ino de Bruijn;Lei Tian

  • Hotspot activating PRKD1 somatic mutations in polymorphous low-grade adenocarcinomas of the salivary glands

    Ilan Weinreb;Salvatore Piscuoglio;Luciano G. Martelotto;Daryl Waggott

  • Massively Parallel Sequencing-Based Clonality Analysis of Synchronous Endometrioid Endometrial and Ovarian Carcinomas.

    Anne M. Schultheis;Charlotte K. Y. Ng;Maria R. De Filippo;Salvatore Piscuoglio

  • The protein histidine phosphatase LHPP is a tumour suppressor

    Sravanth K. Hindupur;Marco Colombi;Stephen R. Fuhs;Matthias S. Matter

  • The Genomic Landscape of Male Breast Cancers

    Salvatore Piscuoglio;Charlotte K Y Ng;Melissa P. Murray;Elena Guerini-Rocco

  • Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations

    Luciano G. Martelotto;Charlotte K.Y Ng;Maria R. De Filippo;Yan Zhang

  • The Landscape of Somatic Genetic Alterations in Metaplastic Breast Carcinomas

    Charlotte K.Y. Ng;Charlotte K.Y. Ng;Salvatore Piscuoglio;Salvatore Piscuoglio;Felipe C. Geyer;Kathleen A. Burke

  • Intra-tumor genetic heterogeneity and alternative driver genetic alterations in breast cancers with heterogeneous HER2 gene amplification

    Charlotte K.Y Ng;Luciano G. Martelotto;Arnaud Gauthier;Huei Chi Wen

  • Genomic landscape of adenoid cystic carcinoma of the breast.

    Luciano G Martelotto;Maria R De Filippo;Charlotte K Y Ng;Rachael Natrajan

  • Massively parallel sequencing of phyllodes tumours of the breast reveals actionable mutations, and TERT promoter hotspot mutations and TERT gene amplification as likely drivers of progression

    Salvatore Piscuoglio;Charlotte K.Y. Ng;Melissa Murray;Kathleen A. Burke

  • Recurrent hotspot mutations in HRAS Q61 and PI3K-AKT pathway genes as drivers of breast adenomyoepitheliomas

    Felipe C. Geyer;Anqi Li;Anqi Li;Anastasios D. Papanastasiou;Alison Smith

  • Whole-genome single-cell copy number profiling from formalin-fixed paraffin-embedded samples

    Luciano G Martelotto;Timour Baslan;Timour Baslan;Timour Baslan;Jude Kendall;Felipe C Geyer

Frequent Co-Authors

Charlotte K.Y. Ng
Charlotte K.Y. Ng Humanitas University
Jorge S. Reis-Filho
Jorge S. Reis-Filho Memorial Sloan Kettering Cancer Center
Luigi Terracciano
Luigi Terracciano University Hospital of Basel
Larry Norton
Larry Norton Memorial Sloan Kettering Cancer Center
Edi Brogi
Edi Brogi Memorial Sloan Kettering Cancer Center
Markus H. Heim
Markus H. Heim University Hospital of Basel
Anne Vincent-Salomon
Anne Vincent-Salomon Institute Curie
Mark A. Rubin
Mark A. Rubin University of Bern
Joan Seoane
Joan Seoane Institució Catalana de Recerca i Estudis Avançats

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Related Online Degrees & Career Pathways

Exploring genetics opens doors to a variety of related fields in the healthcare sector. One career path to consider is in health information management. Completing a medical billing and coding course can help you develop essential skills for organizing and handling health data—an important aspect in genetics research and clinical settings.

Alternatively, those who are passionate about direct patient care might be interested in learning what is the easiest nursing program to get into. This can lead to a rewarding career while providing a strong foundation for incorporating genetic information into patient care.

Management-focused individuals can look into a health care administration degree. Accelerated online programs make it convenient to enter leadership roles in settings where genetics and healthcare intersect.

For those seeking affordable options, a variety of healthcare administration programs are also available. These degrees help you understand complex healthcare systems—knowledge that complements a background in genetics for broader career opportunities.

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