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D-Index & Metrics

Genetics

D-Index
67
Citations
14972
World Ranking
2540
National Ranking
323

Meena Upadhyaya 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 Meena Upadhyaya 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: 206 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Meena Upadhyaya 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 Meena Upadhyaya 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: 67 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Meena Upadhyaya is affiliated with Cardiff University in the United Kingdom and focuses primarily on medical research with a specialization in neurology and molecular biology.

Their research contribution spans several key topics, including:

  • Neurofibromatosis and Schwannoma Cases
  • Meningioma and schwannoma management
  • Sarcoma Diagnosis and Treatment
  • Soft tissue tumor case studies
  • Bone Tumor Diagnosis and Treatments
  • Vascular Malformations and Hemangiomas
  • Chromatin Remodeling and Cancer

Major fields of study for Meena Upadhyaya include Medicine and Biochemistry, Genetics and Molecular Biology. Their subfields cover Neurology, Molecular Biology, Rheumatology, Epidemiology, and Pulmonary and Respiratory Medicine.

The scientist has co-authored papers with several frequent collaborators, including:

  • Jaishri O. Blakeley
  • David A. Stevenson
  • Eric Legius
  • Ludwine Messiaen
  • P. Wolkenstein

Recent publications by Meena Upadhyaya represent contributions to both clinical and genetic aspects of neurological disorders and tumor studies. Key papers include:

  • "Revised diagnostic criteria for neurofibromatosis type 1 and Legius syndrome: an international consensus recommendation," 2021, Genetics in Medicine
  • "Updated diagnostic criteria and nomenclature for neurofibromatosis type 2 and schwannomatosis: An international consensus recommendation," 2022, Genetics in Medicine
  • "Management of neurofibromatosis type 1-associated plexiform neurofibromas," 2022, Neuro-Oncology
  • "High-resolution breakpoint junction mapping of proximally extended D4Z4 deletions in FSHD1 reveals evidence for a founder effect," 2021, Human Molecular Genetics
  • "Natural history of NF1 c.2970_2972del p.(Met992del): confirmation of a low risk of complications in a longitudinal study," 2021, European Journal of Human Genetics

The scientist's works have appeared frequently in journals such as Genetics in Medicine, Neuro-Oncology, Human Molecular Genetics, European Journal of Human Genetics, and BMC Medical Genomics.

Best Publications

  • Guidelines for the diagnosis and management of individuals with neurofibromatosis 1

    Rosalie E Ferner;Susan M Huson;Nick Thomas;Celia Moss

  • Estimation of the mutation frequencies in Charcot-Marie-Tooth disease type 1 and hereditary neuropathy with liability to pressure palsies: a European collaborative study

    E. Nelis;C. van Broeckhoven;E.C.M. Mariman;A.A.W.M. Gabreëls-Festen

  • Genetic linkage of von Recklinghausen neurofibromatosis to the nerve growth factor receptor gene

    B.R. Seizinger;G.A. Rouleau;L.J. Ozelius;A.H. Lane

  • Revised diagnostic criteria for neurofibromatosis type 1 and Legius syndrome: an international consensus recommendation.

    E Legius;L Messiaen;P Wolkenstein;P Pancza

  • Molecular genetics of neurofibromatosis type 1 (NF1).

    Ming Hong Shen;P. S. Harper;M. Upadhyaya

  • Blind analysis of denaturing high-performance liquid chromatography as a tool for mutation detection

    Michael C. O'Donovan;Peter J. Oefner;Stacy C. Roberts;Jehannine Austin

  • PRC2 loss amplifies Ras-driven transcription and confers sensitivity to BRD4-based therapies

    Thomas De Raedt;Eline Beert;Eric Pasmant;Armelle Luscan

  • An absence of cutaneous neurofibromas associated with a 3-bp inframe deletion in Exon 17 of the NF1 gene (c.2970-2972 delAAT): evidence of a clinically significant NF1 genotype-phenotype correlation

    M. Upadhyaya;S. M. Huson;M. Davies;N. Thomas

  • NSD1 Mutations Are the Major Cause of Sotos Syndrome and Occur in Some Cases of Weaver Syndrome but Are Rare in Other Overgrowth Phenotypes

    Jenny Douglas;Sandra Hanks;I. Karen Temple;Sally Davies

  • Correlation between fragment size at D4F104S1 and age at onset or at wheelchair use, with a possible generational effect, accounts for much phenotypic variation in 4q35-facioscapulohumeral muscular dystrophy (FSHD)

    Peter W. Lunt;Philip E. Jardine;Manuela C. Koch;Julie Maynard

  • The NF1 somatic mutational landscape in sporadic human cancers

    Charlotte Philpott;Hannah Tovell;Ian Martin Frayling;David Neil Cooper

  • NF1 microdeletions in neurofibromatosis type 1: from genotype to phenotype†

    Eric Pasmant;Audrey Sabbagh;Gillian Spurlock;Ingrid Laurendeau

  • Paternal origin of new mutations in von Recklinghausen neurofibromatosis.

    D. Jadayel;P. Fain;M. Upadhyaya;M. A. Ponder

  • Large-scale molecular comparison of human schwann cells to malignant peripheral nerve sheath tumor cell lines and tissues

    Shyra J. Miller;Fatima Rangwala;Jon Williams;Peter Ackerman

  • Gross deletions of the neurofibromatosis type 1 (NF1) gene are predominantly of maternal origin and commonly associated with a learning disability, dysmorphic features and developmental delay

    Meena Upadhyaya;M. Ruggieri;Julie Helen Maynard;M. Osborn

  • High Incidence of Noonan Syndrome Features Including Short Stature and Pulmonic Stenosis in Patients carrying NF1 Missense Mutations Affecting p.Arg1809: Genotype-Phenotype Correlation.

    Kitiwan Rojnueangnit;Kitiwan Rojnueangnit;Jing Xie;Alicia Gomes;Angela Sharp

  • Recombination hotspot in NF1 microdeletion patients

    Catalina López-Correa;Michael Dorschner;Hilde Brems;Conxi Lázaro

  • Genotype-Phenotype Correlation in NF1: Evidence for a More Severe Phenotype Associated with Missense Mutations Affecting NF1 Codons 844–848

    Magdalena Koczkowska;Yunjia Chen;Tom Callens;Alicia Gomes

  • Inter-individual differences in CpG methylation at D4Z4 correlate with clinical variability in FSHD1 and FSHD2

    Richard J.L.F. Lemmers;Jelle J. Goeman;Patrick J. van der Vliet;Merlijn P. van Nieuwenhuizen

  • NF1 microdeletions in neurofibromatosis type 1: from genotype to phenotype. Hum Mutat 31:E1506-E1518

    Eric Pasmant;Audrey Sabbagh;Gill Spurlock;Ingrid Laurendeau

Frequent Co-Authors

David Neil Cooper
David Neil Cooper Cardiff University
Peter S. Harper
Peter S. Harper Cardiff University
Ludwine Messiaen
Ludwine Messiaen University of Alabama at Birmingham
Eric Legius
Eric Legius KU Leuven
Nadia Chuzhanova
Nadia Chuzhanova Nottingham Trent University
Mansoor Sarfarazi
Mansoor Sarfarazi University of Connecticut Health Center
D. Gareth Evans
D. Gareth Evans University of Manchester
Jan P. Dumanski
Jan P. Dumanski Uppsala University
Abhijit Guha
Abhijit Guha University of Toronto
Conxi Lázaro
Conxi Lázaro Institut d'Investigació Biomédica de Bellvitge

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