World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 67 2540 2410 323 309 206 14972

Meena Upadhyaya publications per year

The chart shows the history of publications by Meena Upadhyaya between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Meena Upadhyaya published across 45 years, from 1981 to 2025, averaging 6 papers a year. Output peaked at 33 publications in 2023. 5 of the 271 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2023. 1981: 1 publication 1982: 0 publications 1983: 1 publication 1984: 4 publications 1985: 2 publications 1986: 2 publications 1987: 6 publications 1988: 3 publications 1989: 8 publications 1990: 7 publications 1991: 3 publications 1992: 6 publications 1993: 6 publications 1994: 7 publications 1995: 8 publications 1996: 6 publications 1997: 7 publications 1998: 8 publications 1999: 5 publications 2000: 4 publications 2001: 5 publications 2002: 3 publications 2003: 8 publications 2004: 9 publications 2005: 4 publications 2006: 15 publications 2007: 7 publications 2008: 13 publications 2009: 9 publications 2010: 7 publications 2011: 8 publications 2012: 16 publications 2013: 4 publications 2014: 6 publications 2015: 8 publications 2016: 0 publications 2017: 5 publications 2018: 4 publications 2019: 2 publications 2020: 1 publication 2021: 3 publications 2022: 2 publications 2023: 33 publications 2024: 2 publications 2025: 3 publications
1981 2025

271 publications in total across all disciplines

View publications per year as a table
Meena Upadhyaya: publications per year, 1981 to 2025
Year Publications
1981 1
1982 0
1983 1
1984 4
1985 2
1986 2
1987 6
1988 3
1989 8
1990 7
1991 3
1992 6
1993 6
1994 7
1995 8
1996 6
1997 7
1998 8
1999 5
2000 4
2001 5
2002 3
2003 8
2004 9
2005 4
2006 15
2007 7
2008 13
2009 9
2010 7
2011 8
2012 16
2013 4
2014 6
2015 8
2016 0
2017 5
2018 4
2019 2
2020 1
2021 3
2022 2
2023 33
2024 2
2025 3
Total 271
Download as CSV

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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 205–214 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159 206
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184 67
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

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

  • 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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Genetics is at the forefront of modern healthcare, with a growing need for professionals who understand both genetic science and patient care. If you’re interested in expanding your expertise or transitioning into a healthcare career, several online nursing degrees can offer flexible pathways. Programs like affordable np programs are ideal for those aiming to become nurse practitioners, combining advanced clinical training with cost-effective tuition options.

For individuals just starting out, you may want to explore how much is nursing school online to help you find budget-friendly options for entering the nursing field. Those already holding an RN license can benefit from the cheapest rn to bsn programs, which are designed for seamless career advancement with minimal financial strain.

For ultimate career growth, consider advanced degrees like online dnp fnp programs, which prepare nurses for leadership or specialized roles. Each pathway offers unique opportunities for working professionals or students interested in genetics and healthcare, blending affordability, convenience, and career advancement.

Best Scientists Citing Meena Upadhyaya

Trending Scientists

Recently Published Articles