World's Best Scientists 2026 revealed!
Award Badge
Genetics
China
2024

D-Index & Metrics

Genetics

D-Index
94
Citations
48270
World Ranking
921
National Ranking
16

Medicine

D-Index
88
Citations
45839
World Ranking
12918
National Ranking
142

Li Jin 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 Li Jin 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: 309 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Li Jin 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 Li Jin 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: 94 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2024 - Research.com Genetics in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • DNA

His primary areas of investigation include Genetics, Haplotype, Evolutionary biology, Genetic variation and Locus. His research on Genetics frequently connects to adjacent areas such as Population genetics. His Haplotype research incorporates themes from Y chromosome and Human genome.

His Evolutionary biology research is multidisciplinary, incorporating perspectives in Gene flow and Demographic history. His Genetic variation research includes themes of Human genetic variation and Common chimpanzee. His biological study deals with issues like Genetic association, which deal with fields such as Imputation, Structural variation and Haplotype estimation.

His most cited work include:

  • A haplotype map of the human genome (5144 citations)
  • A second generation human haplotype map of over 3.1 million SNPs (3819 citations)
  • Genome-wide detection and characterization of positive selection in human populations (1413 citations)

What are the main themes of his work throughout his whole career to date?

Li Jin mainly focuses on Genetics, Evolutionary biology, Allele, Haplotype and Locus. His work in Microsatellite, Single-nucleotide polymorphism, Allele frequency, Linkage disequilibrium and Genotype is related to Genetics. Li Jin interconnects Genetic association and Tag SNP in the investigation of issues within Linkage disequilibrium.

His Evolutionary biology research is multidisciplinary, relying on both Y chromosome, Genetic structure, Population genetics and Haplogroup. His Haplotype research integrates issues from Mutation, Human evolution, Human genome and Mitochondrial DNA. His Locus study deals with Genetic marker intersecting with Genetic distance.

He most often published in these fields:

  • Genetics (76.80%)
  • Evolutionary biology (33.51%)
  • Allele (27.84%)

What were the highlights of his more recent work (between 2009-2019)?

  • East Asia (29.90%)
  • Genetics (76.80%)
  • Evolutionary biology (33.51%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include East Asia, Genetics, Evolutionary biology, Genetic structure and Haplogroup. As part of his studies on Genetics, he frequently links adjacent subjects like Hidradenitis suppurativa. He has researched Evolutionary biology in several fields, including Haplogroup D-M15, Haplogroup M, Population genetics, Mitochondrial DNA and Gene flow.

His research integrates issues of Ecology, Genetic marker, Microsatellite, Genetic genealogy and Traditional medicine in his study of Genetic structure. His Haplogroup study combines topics in areas such as Y chromosome and Molecular clock. His study in the fields of Allele frequency under the domain of Allele overlaps with other disciplines such as Ectodysplasin A receptor.

Between 2009 and 2019, his most popular works were:

  • Modeling recent human evolution in mice by expression of a selected EDAR variant (178 citations)
  • Modeling recent human evolution in mice by expression of a selected EDAR variant (178 citations)
  • Ancestral Origins and Genetic History of Tibetan Highlanders (102 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Genetics
  • DNA

Li Jin spends much of his time researching East Asia, Haplotype, Genetics, Last Glacial Maximum and Haplogroup. His Haplotype research is multidisciplinary, incorporating elements of Ectodermal dysplasia, Allele frequency and OCA2. His Genetics study frequently draws connections to other fields, such as Molecular anthropology.

His Last Glacial Maximum research spans across into areas like Genetic structure, Southeast asian, Ecology, Human Y-chromosome DNA haplogroup and Early human migrations. His Haplogroup research incorporates themes from Clade, Lineage, Molecular clock, Phylogenetic tree and Divergence. The concepts of his Allele study are interwoven with issues in Mutation, Phenotype, Human evolution and Human genome.

Best Publications

  • A haplotype map of the human genome

    John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol

  • A second generation human haplotype map of over 3.1 million SNPs

    Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

  • Genome-wide detection and characterization of positive selection in human populations

    Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller

  • Genetic variation at five trimeric and tetrameric tandem repeat loci in four human population groups.

    Al Edwards;Holly A. Hammond;Li Jin;C.Thomas Caskey;C.Thomas Caskey

  • Y chromosome sequence variation and the history of human populations

    Underhill Pa;Shen P;Lin Aa;Jin L

  • Interrogating a High-Density SNP Map for Signatures of Natural Selection

    Joshua M. Akey;Ge Zhang;Kun Zhang;Kun Zhang;Li Jin

  • Detection of Numerous Y Chromosome Biallelic Polymorphisms by Denaturing High-Performance Liquid Chromatography

    Peter A. Underhill;Li Jin;Alice A. Lin;S. Qasim Mehdi

  • Mapping human genetic diversity in Asia

    Mahmood Ameen Abdulla;Ikhlak Ahmed;Anunchai Assawamakin;Anunchai Assawamakin;Jong Bhak

  • Kin selection, social structure, gene flow, and the evolution of chimpanzees

    Phillip A. Morin;James J. Moore;Ranajit Chakraborty;Li Jin

  • What is going on in magnesium alloys

    X.J. Wang;D.K. Xu;R.Z. Wu;X.B. Chen

  • Evaluation of 13 short tandem repeat loci for use in personal identification applications.

    H. A. Hammond;Li Jin;Y. Zhong;C. T. Caskey

  • Skin pigmentation, biogeographical ancestry and admixture mapping

    Mark D. Shriver;Esteban J. Parra;Esteban J. Parra;Sonia Dios;Carolina Bonilla

  • The Eurasian Heartland: A continental perspective on Y-chromosome diversity

    R S Wells;N Yuldasheva;R Ruzibakiev;P A Underhill

  • Y-Chromosome Evidence for a Northward Migration of Modern Humans into Eastern Asia during the Last Ice Age

    Bing Su;Junhua Xiao;Peter Underhill;Ranjan Deka

  • Haplotypes vs single marker linkage disequilibrium tests: what do we gain?

    Joshua Akey;Li Jin;Momiao Xiong

  • Distribution of Recombination Crossovers and the Origin of Haplotype Blocks: The Interplay of Population History, Recombination, and Mutation

    Ning Wang;Joshua M. Akey;Kun Zhang;Ranajit Chakraborty

  • Genetic relationship of populations in China

    J. Y. Chu;W. Huang;S. Q. Kuang;J. M. Wang

  • Determination of ancestral alleles for human single-nucleotide polymorphisms using high-density oligonucleotide arrays

    J. G. Hacia;J.-B. Fan;O. Ryder;Li Jin;Li Jin

  • Limitations of the evolutionary parsimony method of phylogenetic analysis.

    Li Jin;Masatoshi Nei

  • A pre-Columbian Y chromosome-specific transition and its implications for human evolutionary history.

    Peter A. Underhill;Li Jin;Rachel Zemans;Peter J. Oefner

Frequent Co-Authors

Ranajit Chakraborty
Ranajit Chakraborty University of North Texas Health Science Center
Bing Su
Bing Su Chinese Academy of Sciences
Ranjan Deka
Ranjan Deka University of Cincinnati
Wei Huang
Wei Huang Northwestern Polytechnical University
Daru Lu
Daru Lu Fudan University
John D. Reveille
John D. Reveille The University of Texas Health Science Center at Houston
Joshua M. Akey
Joshua M. Akey Princeton University
Momiao Xiong
Momiao Xiong The University of Texas Health Science Center at Houston
Mark D. Shriver
Mark D. Shriver Pennsylvania State University
Peter A. Underhill
Peter A. Underhill Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring genetics often opens doors to a wide range of healthcare and science careers. If you’re interested in supporting medical professionals and gaining vital skills, consider medical coding courses. These programs provide foundational knowledge that’s in high demand across hospitals and clinics.

For those aiming to enter clinical settings, you might also be curious about what is the easiest nursing program to get into. Nursing remains a rewarding and stable profession for biology and genetics graduates seeking patient-focused roles.

Interested in the business side of healthcare? There are excellent options to earn a health administration degree online. Many students find accelerated programs help them step into management roles faster.

It’s also worth exploring a bachelors in healthcare administration. This pathway equips you with essential skills for overseeing operations in hospitals, research centers, and biotechnology companies.

Whether you’re aiming for lab research, clinical practice, or healthcare management, these related degrees and pathways can enhance your genetic science education and expand your career potential.

Best Scientists Citing Li Jin

Trending Scientists

Recently Published Articles