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D-Index & Metrics

Genetics

D-Index
76
Citations
17105
World Ranking
1849
National Ranking
846

Lee-Jun C. Wong 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 Lee-Jun C. Wong 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: 351 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Lee-Jun C. Wong 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 Lee-Jun C. Wong 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: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Lee-Jun C. Wong was affiliated with Baylor College of Medicine in the United States. Their research focused primarily within the broader field of Biochemistry, Genetics, and Molecular Biology, with a specialization in Molecular Biology.

The scientist's research encompassed several main topics, including:

  • Mitochondrial Function and Pathology
  • RNA modifications and cancer
  • ATP Synthase and ATPases Research

Wong's publication record includes one known research paper titled "A novel acceptor stem variant in mitochondrial tRNATyr impairs mitochondrial translation and is associated with a severe phenotype," published in 2020 in the journal Molecular Genetics and Metabolism.

Frequent collaborators in their scientific work included Kimberly A. Kripps, Marisa W. Friederich, Ting Chen, Austin Larson, and David M. Mirsky.

The scientist's research appeared in the publication venue Molecular Genetics and Metabolism.

Best Publications

  • Clinical Spectrum, Morbidity, and Mortality in 113 Pediatric Patients with Mitochondrial Disease

    Fernando Scaglia;Jeffrey A Towbin;Jeffrey A Towbin;William J Craigen;William J Craigen;John W Belmont;John W Belmont

  • Biparental Inheritance of Mitochondrial DNA in Humans.

    Shiyu Luo;C. Alexander Valencia;Jinglan Zhang;Ni Chung Lee

  • The in-depth evaluation of suspected mitochondrial disease.

    Richard H. Haas;Sumit Parikh;Marni J. Falk;Russell P. Saneto

  • Somatic mosaicism, germline expansions, germline reversions and intergenerational reductions in myotonic dystrophy males: small pool PCR analyses

    D. G. Monckton;L. J C Wong;T. Ashizawa;C. T. Caskey

  • Comprehensive scanning of somatic mitochondrial DNA mutations in breast cancer.

    Duan-Jun Tan;Ren-Kui Bai;Lee-Jun C Wong

  • Molecular and clinical genetics of mitochondrial diseases due to POLG mutations

    Lee Jun C Wong;Robert K. Naviaux;Nicola Brunetti-Pierri;Qing Zhang

  • GJB2 mutation spectrum in 2063 Chinese patients with nonsyndromic hearing impairment

    Pu Dai;Fei Yu;Bing Han;Xuezhong Liu

  • Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer

    Jun Hyoung Park;Sajna Vithayathil;Santosh Kumar;Pi Lin Sung;Pi Lin Sung

  • Mitochondrial genetic background modifies breast cancer risk.

    Ren-Kui Bai;Suzanne M. Leal;Daniel Covarrubias;Aiyi Liu

  • Primary immunodeficiency diseases: Genomic approaches delineate heterogeneous Mendelian disorders.

    Asbjørg Stray-Pedersen;Hanne Sørmo Sorte;Pubudu Samarakoon;Tomasz Gambin;Tomasz Gambin

  • Somatic heterogeneity of the CTG repeat in myotonic dystrophy is age and size dependent.

    L. J C Wong;T. Ashizawa;D. G. Monckton;C. T. Caskey

  • Novel (ovario) leukodystrophy related to AARS2 mutations

    Cristina Dallabona;Daria Diodato;Sietske H. Kevelam;Tobias B. Haack

  • Detection and quantification of heteroplasmic mutant mitochondrial DNA by real-time amplification refractory mutation system quantitative PCR analysis: a single-step approach.

    Ren-Kui Bai;Lee-Jun C. Wong

  • Non-invasive prenatal sequencing for multiple Mendelian monogenic disorders using circulating cell-free fetal DNA

    Jinglan Zhang;Jianli Li;Jennifer B Saucier;Yanming Feng

  • Clinical and molecular features of mitochondrial DNA depletion due to mutations in deoxyguanosine kinase.

    D. P. Dimmock;Q. Zhang;C. Dionisi-Vici;R. Carrozzo

  • Mutations in FBXL4 Cause Mitochondrial Encephalopathy and a Disorder of Mitochondrial DNA Maintenance

    Penelope E. Bonnen;John W. Yarham;Arnaud Besse;Ping Wu

  • Mitochondrial DNA polymerase gamma mutations: an ever expanding molecular and clinical spectrum.

    Sha Tang;Jing Wang;Ni Chung Lee;Margherita Milone

  • Quantitative PCR Analysis of Mitochondrial DNA Content in Patients with Mitochondrial Disease

    Ren-Kui Bai;Cherng-Lih Perng;Chang-Hung Hsu;Lee-Jun C. Wong

  • Restoration of impaired nitric oxide production in MELAS syndrome with citrulline and arginine supplementation.

    Ayman W. El-Hattab;Jean W. Hsu;Lisa T. Emrick;Lisa T. Emrick;Lee-Jun C. Wong

  • Good laboratory practice for clinical next-generation sequencing informatics pipelines

    Amy S. Gargis;Lisa Kalman;David P. Bick;Cristina Da Silva

Frequent Co-Authors

Jing Wang
Jing Wang The University of Texas MD Anderson Cancer Center
William J. Craigen
William J. Craigen Baylor College of Medicine
Brett H. Graham
Brett H. Graham Baylor College of Medicine
Richard A. Lewis
Richard A. Lewis Baylor College of Medicine
Chad J. Creighton
Chad J. Creighton Baylor College of Medicine
Christine M. Eng
Christine M. Eng Baylor College of Medicine
Michael T. Lewis
Michael T. Lewis Baylor College of Medicine
Gregory M. Enns
Gregory M. Enns Stanford University
Chad A. Shaw
Chad A. Shaw Baylor College of Medicine
Fan Xia
Fan Xia Baylor College of Medicine

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