World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
85
Citations
26702
World Ranking
14602
National Ranking
7390

Genetics

D-Index
84
Citations
25360
World Ranking
1362
National Ranking
644

Hong-Wen Deng 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 Hong-Wen Deng 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: 619 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Hong-Wen Deng 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 Hong-Wen Deng 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: 84 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Hong-Wen Deng is affiliated with Tulane University in the United States. Their research spans primarily the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with significant contributions distributed across multiple subfields including Molecular Biology, Genetics, Cancer Research, Physiology, and Surgery.

The scientist's work covers several main topics, with publications focusing on Genetic Associations and Epidemiology, RNA modifications and cancer, Bioinformatics and Genomic Networks, Bone health and osteoporosis research, Gene expression and cancer classification, Epigenetics and DNA Methylation, and Cancer-related molecular mechanisms research.

Hong-Wen Deng has contributed to a number of recent papers published in high-impact journals. Some notable publications include:

  • Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence, 2021, BMC Medicine
  • Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images, 2021, Nature Communications
  • A Review of Integrative Imputation for Multi-Omics Datasets, 2020, Frontiers in Genetics
  • Single-cell RNA sequencing deconvolutes the in vivo heterogeneity of human bone marrow-derived mesenchymal stem cells, 2021, International Journal of Biological Sciences
  • NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning, 2021, Briefings in Bioinformatics

The scientist collaborates frequently with a consistent group of colleagues. Key co-authors include Hui Shen, Hong-Mei Xiao, Kuan-Jui Su, Jonathan Greenbaum, and Chong Wu, with collaboration counts ranging from over 20 to nearly 80 joint works.

Their articles have been published extensively across several venues, with the highest number of publications appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Aging
  • Molecular Genetics and Genomics

Best Publications

  • Relationship of obesity with osteoporosis.

    Lan Juan Zhao;Yong Jun Liu;Peng Yuan Liu;James Hamilton

  • Correlation of obesity and osteoporosis: effect of fat mass on the determination of osteoporosis.

    Lan-Juan Zhao;Hui Jiang;Christopher J Papasian;Dev Maulik

  • How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes

    Yanfang Guo;Peng Xiao;Peng Xiao;Shufeng Lei;Feiyan Deng

  • Wnt/β-catenin signaling activates bone morphogenetic protein 2 expression in osteoblasts

    Rongrong Zhang;Babatunde O. Oyajobi;Stephen E. Harris;Di Chen

  • Molecular studies of identification of genes for osteoporosis: the 2002 update

    Yao Zhong Liu;Yong Jun Liu;Robert R. Recker;Hong Wen Deng;Hong Wen Deng

  • Connections between the human gut microbiome and gestational diabetes mellitus.

    Ya-Shu Kuang;Jin-Hua Lu;Sheng-Hui Li;Jun-Hua Li

  • A road map for understanding molecular and genetic determinants of osteoporosis

    Tie-Lin Yang;Hui Shen;Anqi Liu;Shan-Shan Dong

  • Genome-wide Copy-Number-Variation Study Identified a Susceptibility Gene, UGT2B17, for Osteoporosis

    Tie Lin Yang;Xiang Ding Chen;Yan Guo;Shu Feng Lei

  • Genome-wide Association and Follow-Up Replication Studies Identified ADAMTS18 and TGFBR3 as Bone Mass Candidate Genes in Different Ethnic Groups

    Dong Hai Xiong;Xiao Gang Liu;Yan Fang Guo;Li Jun Tan

  • The development of atypical haemolytic-uraemic syndrome is influenced by susceptibility factors in factor H and membrane cofactor protein: evidence from two independent cohorts

    Veronique Fremeaux-Bacchi;Elizabeth J Kemp;Judith A Goodship;Marie-Agnes Dragon-Durey

  • The Association of Bone Mineral Density with Vitamin D Receptor Gene Polymorphisms

    G. Gong;H. S. Stern;S.-C. Cheng;N. Fong

  • Relationship of sarcopenia and body composition with osteoporosis

    H. He;Y. Liu;Q. Tian;C. J. Papasian

  • Mutation Patterns at Dinucleotide Microsatellite Loci in Humans

    Qing Yang Huang;Fu Hua Xu;Hui Shen;Hong Yi Deng

  • Genetic determination of Colles' fracture and differential bone mass in women with and without Colles' fracture

    Hong-Wen Deng;Wei-Min Chen;Susan Recker;Mary Ruth Stegman

  • An Amplified Fragment Length Polymorphism Map of the Silkworm

    Yuan-De Tan;Yuan-De Tan;Chunling Wan;Yufang Zhu;Chen Lu

  • Genome-wide association scans identified CTNNBL1 as a novel gene for obesity

    Yong Jun Liu;Xiao Gang Liu;Xiao Gang Liu;Liang Wang;Liang Wang;Christian Dina

  • A genomewide linkage scan for quantitative-trait loci for obesity phenotypes.

    Hong Wen Deng;Hong Wen Deng;Hongyi Deng;Yong Jun Liu;Yao Zhong Liu

  • Meta-analysis of genome-wide linkage studies in BMI and obesity.

    Catherine L. Saunders;Benedetta D. Chiodini;Benedetta D. Chiodini;Pak Sham;Cathryn M. Lewis

  • Molecular Genetic Studies of Gene Identification for Osteoporosis: A 2004 Update

    Yong Jun Liu;Hui Shen;Peng Xiao;Dong Hai Xiong

  • Meta-Analysis of Genome-Wide Scans Provides Evidence for Sex- and Site-Specific Regulation of Bone Mass

    John P.A. Ioannidis;John P.A. Ioannidis;John P.A. Ioannidis;Mandy Y. Ng;Pak C. Sham;Pak C. Sham;Elias Zintzaras

Frequent Co-Authors

Robert R. Recker
Robert R. Recker Creighton University
Christopher J. Papasian
Christopher J. Papasian University of Missouri–Kansas City
Jirong Long
Jirong Long Vanderbilt University Medical Center
Emma L. Duncan
Emma L. Duncan King's College London
Richard L. Prince
Richard L. Prince University of Western Australia
Xiaogang Liu
Xiaogang Liu National University of Singapore
Shawn Levy
Shawn Levy Vanderbilt University
Wei-Min Chen
Wei-Min Chen University of Virginia
John A. Eisman
John A. Eisman Garvan Institute of Medical Research

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