World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
113
Citations
56865
World Ranking
484
National Ranking
246

Medicine

D-Index
116
Citations
58184
World Ranking
4309
National Ranking
2354

Stanley F. Nelson 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 Stanley F. Nelson 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: 341 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Stanley F. Nelson 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 Stanley F. Nelson 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: 113 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Stanley F. Nelson is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple fields, primarily in Biochemistry, Genetics, and Molecular Biology, with significant focus also in Medicine. Their work covers several subfields including Molecular Biology, Genetics, Physiology, Cardiology and Cardiovascular Medicine, and Cellular and Molecular Neuroscience.

The scientist's research emphasizes key topics such as Genetics and Neurodevelopmental Disorders, Genomics and Rare Diseases, Muscle Physiology and Disorders, RNA modifications and cancer, Congenital heart defects research, RNA Research and Splicing, and Genomic variations and chromosomal abnormalities.

Recent publications include:

  • Disseminated Coccidioidomycosis Treated with Interferon-γ and Dupilumab, 2020, New England Journal of Medicine
  • Ppp1r1b-lncRNA inhibits PRC2 at myogenic regulatory genes to promote cardiac and skeletal muscle development in mouse and human, 2020, RNA
  • Variant-specific changes in RAC3 function disrupt corticogenesis in neurodevelopmental phenotypes, 2022, Brain
  • Single nuclei transcriptomics of muscle reveals intra-muscular cell dynamics linked to dystrophin loss and rescue, 2022, Communications Biology
  • GATAD2B-associated neurodevelopmental disorder (GAND): clinical and molecular insights into a NuRD-related disorder, 2020, Genetics in Medicine

Frequent co-authors collaborating with Stanley F. Nelson include:

  • Hane Lee
  • Julián A. Martínez-Agosto
  • Emilie D. Douine
  • Florian Barthélémy
  • Alden Huang

In terms of publishing venues, Stanley F. Nelson has contributed substantially to:

  • bioRxiv (Cold Spring Harbor Laboratory), 9 publications
  • Genetics in Medicine, 6 publications
  • The American Journal of Human Genetics, 3 publications
  • Neurology, 3 publications
  • Nature Communications, 2 publications

Best Publications

  • Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation

    Ramin Nazarian;Hubing Shi;Qi Wang;Xiangju Kong

  • Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning

    Shawn J. Cokus;Suhua Feng;Xiaoyu Zhang;Zugen Chen

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Functional impact of global rare copy number variation in autism spectrum disorders

    Dalila Pinto;Alistair T. Pagnamenta;Lambertus Klei;Richard Anney

  • Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia

    Tom Walsh;Jon M. McClellan;Shane E. McCarthy;Anjené M. Addington

  • Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.

    Nils Homer;Nils Homer;Szabolcs Szelinger;Margot Redman;David Duggan

  • Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma

    Rameen Beroukhim;Gad Getz;Leia Nghiemphu;Jordi Barretina

  • High-throughput oncogene mutation profiling in human cancer

    Roman K. Thomas;Alissa C. Baker;Ralph M. DeBiasi;Ralph M. DeBiasi;Wendy Winckler;Wendy Winckler

  • Dna Sequencing of Maternal Plasma to Detect Down Syndrome: An International Clinical Validation Study

    Glenn E. Palomaki;Edward M. Kloza;Geralyn M. Lambert-Messerlian;James E. Haddow

  • Clinical Exome Sequencing for Genetic Identification of Rare Mendelian Disorders

    Hane Lee;Joshua L. Deignan;Naghmeh Dorrani;Samuel P. Strom

  • Linkage, Association, and Gene-Expression Analyses Identify CNTNAP2 as an Autism-Susceptibility Gene

    Maricela Alarcón;Brett S. Abrahams;Jennifer L. Stone;Jacqueline A. Duvall

  • Gene Expression Profiling of Gliomas Strongly Predicts Survival

    William A. Freije;F. Edmundo Castro-Vargas;Zixing Fang;Steve Horvath

  • Melanoma whole-exome sequencing identifies (V600E)B-RAF amplification-mediated acquired B-RAF inhibitor resistance.

    Hubing Shi;Gatien Moriceau;Xiangju Kong;Mi Kyung Lee

  • Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target

    S. Horvath;B. Zhang;M. Carlson;K. V. Lu

  • Genome Sequencing Highlights the Dynamic Early History of Dogs

    Adam H. Freedman;Ilan Gronau;Rena Schweizer;Diego Ortega-Del Vecchyo

  • Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan

  • DNA sequencing of maternal plasma reliably identifies trisomy 18 and trisomy 13 as well as Down syndrome: an international collaborative study

    Glenn E. Palomaki;Cosmin Deciu;Edward M. Kloza;Geralyn M. Lambert-Messerlian

  • BFAST: an alignment tool for large scale genome resequencing.

    Nils Homer;Barry Merriman;Stanley F. Nelson

  • A genome-wide scan for common alleles affecting risk for autism

    Richard Anney;Lambertus Klei;Dalila Pinto;Regina Regan

  • Linkage, Association, and Gene-Expression Analyses Identify CNTNAP2 as an Autism-Susceptibility Gene. Commentary

    Dietrich A. Stephan;Maricela Alarcon;Brett S. Abrahams;Jennifer L. Stone

Frequent Co-Authors

Hane Lee
Hane Lee University of California, Los Angeles
Timothy F. Cloughesy
Timothy F. Cloughesy University of California, Los Angeles
Paul S. Mischel
Paul S. Mischel Stanford University
Linda M. Liau
Linda M. Liau University of California, Los Angeles
Susan L. Smalley
Susan L. Smalley University of California, Los Angeles
Bruno Reversade
Bruno Reversade Agency for Science, Technology and Research
Daniel H. Geschwind
Daniel H. Geschwind University of California, Los Angeles
James J. McGough
James J. McGough University of California, Los Angeles
Rita M. Cantor
Rita M. Cantor University of California, Los Angeles
Eric Vilain
Eric Vilain George Washington University

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