World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
48
Citations
29901
World Ranking
4016
National Ranking
1733

Shujun Luo 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 Shujun Luo 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: 92 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Shujun Luo 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 Shujun Luo 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: 48 D-Index — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Overview

Shujun Luo is a researcher affiliated with Predicine in the United States, focusing on areas primarily associated with biochemistry, genetics, molecular biology, and medicine.

Their scholarly work spans several subfields, including:

  • Cancer Research
  • Molecular Biology
  • Pulmonary and Respiratory Medicine
  • Oncology
  • Food Science

Luo's main research topics cover:

  • Cancer Genomics and Diagnostics
  • Molecular Biology Techniques and Applications
  • Epigenetics and DNA Methylation
  • Polysaccharides Composition and Applications
  • Advanced Breast Cancer Therapies
  • Lung Cancer Research Studies
  • Nanoparticle-Based Drug Delivery

Their frequent co-authors include:

  • Shidong Jia (12 collaborations)
  • Pan Du (8 collaborations)
  • Kemin Zhou (6 collaborations)
  • Pan Du (6 collaborations, listed separately)
  • Tom Zhang (4 collaborations)

Publication venues where Luo has frequently contributed are:

  • Cancer Research (8 publications)
  • SSRN Electronic Journal (4 publications)
  • Journal of Clinical Oncology (3 publications)
  • Annals of Oncology (2 publications)
  • Food Hydrocolloids (1 publication)

Recent papers authored or co-authored by Luo illustrate diverse research interests and include:

  • "Effects of ultra-high pressure enzyme extraction on characteristics and functional properties of red pitaya (Hylocereus polyrhizus) peel pectic polysaccharides," 2021, published in Food Hydrocolloids
  • "Genomic Complexity Predicts Resistance to Endocrine Therapy and CDK4/6 Inhibition in Hormone Receptor-Positive (HR+)/HER2-Negative Metastatic Breast Cancer," 2023, Clinical Cancer Research
  • "FU-coating pH-sensitive liposomes for improving the release of gemcitabine by endosome escape in pancreatic cancer cells," 2022, Journal of Drug Delivery Science and Technology
  • "Author Correction: Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells," 2020, Nature Biotechnology
  • "Growth inhibition of pancreatic cancer by targeted delivery of gemcitabine via fucoidan-coated pH-sensitive liposomes," 2024, International Journal of Biological Macromolecules

Best Publications

  • Alternative Isoform Regulation in Human Tissue Transcriptomes

    Eric T. Wang;Rickard Sandberg;Rickard Sandberg;Shujun Luo;Irina Khrebtukova

  • Accurate whole human genome sequencing using reversible terminator chemistry

    David R. Bentley;Shankar Balasubramanian;Harold P. Swerdlow;Harold P. Swerdlow;Geoffrey P. Smith

  • Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays

    Sydney Brenner;Maria Johnson;John Bridgham;George Golda

  • Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells

    Daniel Ramsköld;Shujun Luo;Yu Chieh Wang;Robin Li

  • Metagenomic discovery of biomass-degrading genes and genomes from cow rumen.

    Matthias Hess;Matthias Hess;Alexander Sczyrba;Alexander Sczyrba;Rob Egan;Rob Egan;Tae Wan Kim

  • Global identification of microRNA-target RNA pairs by parallel analysis of RNA ends.

    Marcelo A German;Manoj Pillay;Dong-Hoon Jeong;Amit Hetawal

  • Mammalian microRNAs: experimental evaluation of novel and previously annotated genes

    H. Rosaria Chiang;Lori W. Schoenfeld;J. Graham Ruby;Vincent C. Auyeung

  • Elucidation of the small RNA component of the transcriptome.

    Cheng Lu;Shivakundan Singh Tej;Shujun Luo;Christian D. Haudenschild

  • Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study

    Pieter Mestdagh;Nicole Hartmann;Lukas Baeriswyl;Ditte Andreasen

  • PRG-1 and 21U-RNAs interact to form the piRNA complex required for fertility in C. elegans.

    Pedro J. Batista;J. Graham Ruby;Julie M. Claycomb;H. Rosaria Chiang

  • High-Resolution Analysis of Parent-of-Origin Allelic Expression in the Mouse Brain

    Christopher Gregg;Jiangwen Zhang;Brandon Weissbourd;Brandon Weissbourd;Shujun Luo

  • Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS)

    Gregory E. Crawford;Ingeborg E. Holt;James Whittle;Bryn D. Webb

  • Genome, epigenome and RNA sequences of monozygotic twins discordant for multiple sclerosis.

    Sergio E. Baranzini;Joann Mudge;Jennifer C. Van Velkinburgh;Pouya Khankhanian

  • In vitro cloning of complex mixtures of DNA on microbeads: physical separation of differentially expressed cDNAs.

    Sydney Brenner;Steven R. Williams;Eric H. Vermaas;Thorsten Storck

  • Transcriptome-wide Regulation of Pre-mRNA Splicing and mRNA Localization by Muscleblind Proteins

    Eric T. Wang;Neal A.L. Cody;Sonali Jog;Michela Biancolella

  • Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq)

    Julius B. Lucks;Stefanie A. Mortimer;Cole Trapnell;Cole Trapnell;Shujun Luo

  • Chimeric transcript discovery by paired-end transcriptome sequencing

    Christopher A. Maher;Nallasivam Palanisamy;John C. Brenner;Xuhong Cao

  • A highly annotated whole-genome sequence of a Korean individual

    Jong-Il Kim;Young Seok Ju;Hansoo Park;Sheehyun Kim

  • Monitoring chronic lymphocytic leukemia progression by whole genome sequencing reveals heterogeneous clonal evolution patterns

    Anna Schuh;Jennifer Becq;Sean Humphray;Adrian Alexa

  • RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries.

    Markus Hafner;Neil Renwick;Miguel Brown;Aleksandra Mihailović

Frequent Co-Authors

Gary P. Schroth
Gary P. Schroth Illumina (United States)
Deanna M. Church
Deanna M. Church National Institutes of Health
Rickard Sandberg
Rickard Sandberg Karolinska Institute
Jason B. Harris
Jason B. Harris Newcastle University
Jennifer A. Doudna
Jennifer A. Doudna University of California, Berkeley
Stephen F. Kingsmore
Stephen F. Kingsmore Rady Children's Hospital-San Diego
Blake C. Meyers
Blake C. Meyers University of California, Davis
Adam P. Arkin
Adam P. Arkin Lawrence Berkeley National Laboratory
Pamela J. Green
Pamela J. Green University of Delaware

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