World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
57
Citations
10811
World Ranking
3425
National Ranking
84

Ming D. Li 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 Ming D. Li 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: 162 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Ming D. Li 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 Ming D. Li 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: 57 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Ming D. Li is a researcher affiliated with Zhejiang University in China. Their work spans fields primarily within Biochemistry, Genetics and Molecular Biology, and Medicine, covering a total of 53 and 52 publications respectively in these main areas.

Their research focuses on several specialized subfields, including Molecular Biology with 37 publications, Genetics (12 publications), Physiology (9 publications), Epidemiology (7 publications), and Biological Psychiatry (6 publications). These areas contribute to a broad understanding of molecular and physiological mechanisms as well as their implications for human health.

Ming D. Li's main topics of study cover:

  • Epigenetics and DNA Methylation
  • Gut microbiota and health
  • Genetic Associations and Epidemiology
  • Tryptophan and brain disorders
  • Smoking Behavior and Cessation
  • RNA modifications and cancer
  • Mental Health Research Topics

Their recent papers demonstrate a focus on the interface of microbiota, psychiatric disorders, and environmental influences. Notable works include:

  • "Effect of Cigarette Smoke on Gut Microbiota: State of Knowledge" (2021), published in Frontiers in Physiology
  • "Updated review of research on the gut microbiota and their relation to depression in animals and human beings" (2020), Molecular Psychiatry
  • "Clostridiales are predominant microbes that mediate psychiatric disorders" (2020), Journal of Psychiatric Research
  • "Decreased Cortical Folding of the Fusiform Gyrus and Its Hypoconnectivity with Sensorimotor Areas in Major Depressive Disorder" (2021), Journal of Affective Disorders
  • "Genome-wide DNA methylation analysis reveals significant impact of long-term ambient air pollution exposure on biological functions related to mitochondria and immune response" (2020), Environmental Pollution

The scholar frequently publishes in the following venues, where they have multiple contributions:

  • Frontiers in Psychiatry (7 publications)
  • Molecular Psychiatry (3 publications)
  • Frontiers in Microbiology (3 publications)
  • Nicotine & Tobacco Research (3 publications)
  • Journal of Psychiatric Research (2 publications)

Ming D. Li collaborates regularly with a group of co-authors including Zhongli Yang, Haijun Han, Wenji Yuan, Yunlong Ma, and Xiaoqiang Shi, with Zhongli Yang being the most frequent co-author across 29 joint works.

Best Publications

  • Genome-wide meta-analyses identify multiple loci associated with smoking behavior

    Helena Furberg;Yunjung Kim;Jennifer Dackor;Eric Boerwinkle

  • A Generalized Combinatorial Approach for Detecting Gene-by-Gene and Gene-by-Environment Interactions with Application to Nicotine Dependence

    Xiang Yang Lou;Guo Bo Chen;Guo Bo Chen;Lei Yan;Lei Yan;Jennie Z. Ma

  • A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins.

    Ming D. Li;Rong Cheng;Jennie Z. Ma;Gary E. Swan

  • Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

    Nancy L. Saccone;Nancy L. Saccone;Robert C Culverhouse;Tae-Hwi Schwantes-An;Dale S. Cannon

  • New insights into the genetics of addiction

    Ming D. Li;Margit Burmeister

  • Ethnic- and gender-specific association of the nicotinic acetylcholine receptor α4 subunit gene (CHRNA4) with nicotine dependence

    Ming D. Li;Joke Beuten;Jennie Z. Ma;Thomas J. Payne

  • Pharmacogenetic Approach at the Serotonin Transporter Gene as a Method of Reducing the Severity of Alcohol Drinking

    Bankole A. Johnson;Nassima Ait-Daoud;Chamindi Seneviratne;John D. Roache

  • Significant association of catechol-O-methyltransferase (COMT) haplotypes with nicotine dependence in male and female smokers of two ethnic populations.

    Joke Beuten;Thomas J Payne;Jennie Z Ma;Ming D Li

  • Significant Association of ANKK1 and Detection of a Functional Polymorphism with Nicotine Dependence in an African-American Sample

    Weihua Huang;Thomas J Payne;Jennie Z Ma;Joke Beuten

  • Differential Allelic Expression of Dopamine D1 Receptor Gene (DRD1) Is Modulated by microRNA miR-504

    Weihua Huang;Ming D. Li

  • Significant association of DRD1 with nicotine dependence.

    Weihua Huang;Jennie Z. Ma;Thomas J. Payne;Joke Beuten

  • Single- and Multilocus Allelic Variants within the GABAB Receptor Subunit 2 (GABAB2) Gene Are Significantly Associated with Nicotine Dependence

    Joke Beuten;Jennie Z. Ma;Thomas J. Payne;Randolph T. Dupont

  • A genome-wide scan to identify loci for smoking rate in the Framingham Heart Study population

    Ming D Li;Jennie Z Ma;Rong Cheng;Randolph T Dupont

  • Nicotine modulates expression of miR-140*, which targets the 3'-untranslated region of dynamin 1 gene (Dnm1).

    Weihua Huang;Ming D. Li

  • Region-specific transcriptional response to chronic nicotine in rat brain.

    Özlen Konu;Justin K Kane;Tanya Barrett;Marquis P Vawter

  • Identifying susceptibility loci for nicotine dependence: 2008 update based on recent genome-wide linkage analyses.

    Ming D. Li

  • Topiramate for the treatment of methamphetamine addiction: a multi‐center placebo‐controlled trial

    Ahmed Elkashef;Roberta Kahn;Elmer Yu;Erin Iturriaga

  • Novelty Seeking and Drug Addiction in Humans and Animals: From Behavior to Molecules.

    Taylor Wingo;Tanseli Nesil;Jung Seok Choi;Jung Seok Choi;Ming D. Li

  • Significant association of the neurexin-1 gene (NRXN1) with nicotine dependence in European- and African-American smokers

    Justin Nussbaum;Qing Xu;Thomas J. Payne;Jennie Z. Ma

  • Breaking barriers in the genomics and pharmacogenetics of drug addiction

    M K Ho;D Goldman;A Heinz;J Kaprio

Frequent Co-Authors

Robert C. Elston
Robert C. Elston Case Western Reserve University
Shaolin Wang
Shaolin Wang China Agricultural University
Jaakko Kaprio
Jaakko Kaprio University of Helsinki
Joel Gelernter
Joel Gelernter Yale University
Pamela A. F. Madden
Pamela A. F. Madden Washington University in St. Louis
Caryn Lerman
Caryn Lerman University of Southern California
Laura J. Bierut
Laura J. Bierut Washington University in St. Louis
Michael M. Vanyukov
Michael M. Vanyukov University of Pittsburgh
Gonneke Willemsen
Gonneke Willemsen Vrije Universiteit Amsterdam
David Altshuler
David Altshuler Harvard University

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Related Online Degrees & Career Pathways

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These online degree pathways can complement genetics studies by opening doors to careers in genetic counseling, research, or personalized medicine. The flexibility of online programs also lets students gain experience in genetics-related healthcare fields while pursuing academic growth, making these options valuable additions to a genetics-centered career plan.

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