World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
55
Citations
13652
World Ranking
3566
National Ranking
90

Fangqing Zhao 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 Fangqing Zhao 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: 133 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Fangqing Zhao 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 Fangqing Zhao 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: 55 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Fangqing Zhao is affiliated with the Chinese Academy of Sciences in China. Their research activity spans several areas within biochemistry, genetics, and molecular biology, with notable contributions also in the field of medicine.

The main fields of study for this researcher include:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

The subfields of study they focus on cover:

  • Molecular Biology
  • Cancer Research
  • Infectious Diseases
  • Ecology
  • Genetics

Their research centers around several core topics, notably:

  • Gut microbiota and health
  • Circular RNAs in diseases
  • MicroRNA in disease regulation
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Microbial Community Ecology and Physiology

Fangqing Zhao has published extensively in various scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Gut
  • Genomics Proteomics & Bioinformatics
  • Nature Communications
  • Advanced Science

Among the notable recent papers with high citation counts are:

  • "CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes," 2020, Genome biology
  • "Large-Scale Comparative Analyses of Tick Genomes Elucidate Their Genetic Diversity and Vector Capacities," 2020, Cell
  • "Accurate quantification of circular RNAs identifies extensive circular isoform switching events," 2020, Nature Communications
  • "Comprehensive profiling of circular RNAs with nanopore sequencing and CIRI-long," 2021, Nature Biotechnology
  • "Translocation of vaginal microbiota is involved in impairment and protection of uterine health," 2021, Nature Communications

Fangqing Zhao's research collaborations include frequent co-authors such as:

  • Jinyang Zhang
  • Zhenqiang Zuo
  • Liwen Xiao
  • Peifeng Ji
  • Jinfeng Wang

In addition to journal articles, Fangqing Zhao has contributed to book publications, with a recent title being Insights in RNA: 2022 published by Frontiers Media in 2024.

Best Publications

  • Gut microbiota dysbiosis contributes to the development of hypertension.

    Jing-Jing Li;Jing-Jing Li;Fangqing Zhao;Yidan Wang;Junru Chen

  • CIRI: an efficient and unbiased algorithm for de novo circular RNA identification.

    Yuan Gao;Jinfeng Wang;Fangqing Zhao

  • Metagenome-wide analysis of antibiotic resistance genes in a large cohort of human gut microbiota

    Yongfei Hu;Xi Yang;Junjie Qin;Na Lu

  • Circular RNA identification based on multiple seed matching.

    Yuan Gao;Jinyang Zhang;Fangqing Zhao

  • Complete Khoisan and Bantu genomes from southern Africa

    Stephan C. Schuster;Webb Miller;Aakrosh Ratan;Lynn P. Tomsho

  • Dysbiosis Signature of Fecal Microbiota in Colorectal Cancer Patients

    Na Wu;Xi Yang;Ruifen Zhang;Jun Li

  • Sequencing the nuclear genome of the extinct woolly mammoth

    Webb Miller;Daniela I. Drautz;Aakrosh Ratan;Barbara Pusey

  • Convergent Evolution of Rumen Microbiomes in High-Altitude Mammals

    Zhigang Zhang;Dongming Xu;Dongming Xu;Li Wang;Junjun Hao

  • Polar and brown bear genomes reveal ancient admixture and demographic footprints of past climate change

    Webb Miller;Stephan C. Schuster;Stephan C. Schuster;Andreanna J. Welch;Aakrosh Ratan

  • Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus.

    Jinfeng Wang;Jiayong Zheng;Wenyu Shi;Nan Du

  • Metagenomic Profile of the Bacterial Communities Associated with Ixodes ricinus Ticks

    Giovanna Carpi;Francesca Cagnacci;Nicola E. Wittekindt;Fangqing Zhao

  • CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes

    Wanying Wu;Peifeng Ji;Fangqing Zhao

  • Large-Scale Comparative Analyses of Tick Genomes Elucidate Their Genetic Diversity and Vector Capacities

    Na Jia;Jinfeng Wang;Wenqiang Shi;Lifeng Du

  • Metagenomic sequencing reveals microbiota and its functional potential associated with periodontal disease

    Jinfeng Wang;Ji Qi;Hui Zhao;Shu He

  • Saccharina genomes provide novel insight into kelp biology

    Naihao Ye;Xiaowen Zhang;Miao Miao;Xiao Fan

  • Comprehensive identification of internal structure and alternative splicing events in circular RNAs

    Yuan Gao;Jinfeng Wang;Yi Zheng;Jinyang Zhang

  • Genetic diversity and population structure of the endangered marsupial Sarcophilus harrisii (Tasmanian devil).

    Webb Miller;Vanessa M. Hayes;Vanessa M. Hayes;Aakrosh Ratan;Desiree C. Petersen;Desiree C. Petersen

  • Database Resources of the National Genomics Data Center in 2020

    Partners;Zhang Zhang;Wenming Zhao

  • Expanded Expression Landscape and Prioritization of Circular RNAs in Mammals.

    Peifeng Ji;Wanying Wu;Shuai Chen;Yi Zheng

  • HTQC: a fast quality control toolkit for Illumina sequencing data

    Xi Yang;Di Liu;Fei Liu;Jun Wu

Frequent Co-Authors

Baoli Zhu
Baoli Zhu Chinese Academy of Sciences
Stephan C. Schuster
Stephan C. Schuster Nanyang Technological University
Yi Zheng
Yi Zheng Cincinnati Children's Hospital Medical Center
Webb Miller
Webb Miller Pennsylvania State University
Nick Patterson
Nick Patterson Harvard University
Yiming Bao
Yiming Bao Chinese Academy of Sciences
Arthur M. Lesk
Arthur M. Lesk Pennsylvania State University
George F. Gao
George F. Gao Chinese Center For Disease Control and Prevention
Ka Hou Chu
Ka Hou Chu Chinese University of Hong Kong
Qinghua Cui
Qinghua Cui Peking University

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