World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
86
Citations
23662
World Ranking
1261
National Ranking
25

Xianlong Zhang 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 Xianlong Zhang 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: 254 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Xianlong Zhang 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 Xianlong Zhang 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: 86 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Xianlong Zhang is affiliated with Huazhong Agricultural University in China. Their research primarily spans the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology, with a significant focus on plant science and molecular biology subfields.

Their work covers a diverse range of scientific topics, including:

  • Research in Cotton Cultivation
  • Plant Virus Research Studies
  • Plant Molecular Biology Research
  • Plant Reproductive Biology
  • CRISPR and Genetic Engineering
  • Chromosomal and Genetic Variations
  • Plant and Fungal Interactions Research

Xianlong Zhang has contributed extensively to the research literature, with publications in notable venues such as Plant Biotechnology Journal, The Crop Journal, Research Square, Advanced Science, and The Plant Journal.

Recent papers authored or co-authored by Xianlong Zhang include:

  • CRISPR/Cas Systems in Genome Editing: Methodologies and Tools for sgRNA Design, Off-Target Evaluation, and Strategies to Mitigate Off-Target Effects, 2020, Advanced Science
  • Cotton pan-genome retrieves the lost sequences and genes during domestication and selection, 2021, Genome Biology
  • Combined GWAS and eQTL analysis uncovers a genetic regulatory network orchestrating the initiation of secondary cell wall development in cotton, 2020, New Phytologist
  • A comprehensive overview of cotton genomics, biotechnology and molecular biological studies, 2023, Science China Life Sciences
  • Genomic innovation and regulatory rewiring during evolution of the cotton genus Gossypium, 2022, Nature Genetics

The scientist frequently collaborates with other researchers, including Shuangxia Jin, Maojun Wang, Longfu Zhu, Keith Lindsey, and Ling Min, reflecting a network of co-authorship spanning multiple studies and projects.

Best Publications

  • Genome sequence of cultivated Upland cotton ( Gossypium hirsutum TM-1) provides insights into genome evolution

    Fuguang Li;Guangyi Fan;Cairui Lu;Guanghui Xiao

  • Reference genome sequences of two cultivated allotetraploid cottons, Gossypium hirsutum and Gossypium barbadense

    Maojun Wang;Lili Tu;Daojun Yuan;Daojun Yuan;De Zhu

  • Lignin metabolism has a central role in the resistance of cotton to the wilt fungus Verticillium dahliae as revealed by RNA-Seq-dependent transcriptional analysis and histochemistry

    Li Xu;Longfu Zhu;Lili Tu;Linlin Liu

  • Asymmetric subgenome selection and cis -regulatory divergence during cotton domestication

    Maojun Wang;Lili Tu;Min Lin;Zhongxu Lin

  • Expression of an Arabidopsis vacuolar H+-pyrophosphatase gene (AVP1) in cotton improves drought- and salt tolerance and increases fibre yield in the field conditions.

    Vijaya Pasapula;Guoxin Shen;Sundaram Kuppu;Julio Paez-Valencia

  • CRISPR/Cas System: Recent Advances and Future Prospects for Genome Editing

    Hakim Manghwar;Keith Lindsey;Xianlong Zhang;Shuangxia Jin

  • Regulation of Somatic Embryogenesis in Higher Plants

    Xiyan Yang;Xianlong Zhang

  • Drought coping strategies in cotton: increased crop per drop.

    Abid Ullah;Heng Sun;Xiyan Yang;Xianlong Zhang

  • Proteomic and virus-induced gene silencing (VIGS) analyses reveal that Gossypol, Brassinosteroids and Jasmonic acid contribute to the resistance of cotton to Verticillium dahliae

    Wei Gao;Lu Long;Long-Fu Zhu;Li Xu

  • Overexpression of Rice NAC Gene SNAC1 Improves Drought and Salt Tolerance by Enhancing Root Development and Reducing Transpiration Rate in Transgenic Cotton

    Guanze Liu;Xuelin Li;Shuangxia Jin;Xuyan Liu

  • The genome sequence of Sea-Island cotton (Gossypium barbadense) provides insights into the allopolyploidization and development of superior spinnable fibres.

    Daojun Yuan;Zhonghui Tang;Maojun Wang;Wenhui Gao

  • Linkage map construction and mapping QTL for cotton fibre quality using SRAP, SSR and RAPD

    Z. Lin;D. He;X. Zhang;Y. Nie

  • High efficient multisites genome editing in allotetraploid cotton (Gossypium hirsutum) using CRISPR/Cas9 system.

    Pengcheng Wang;Jun Zhang;Lin Sun;Yizan Ma

  • Sugar and Auxin Signaling Pathways Respond to High-Temperature Stress during Anther Development as Revealed by Transcript Profiling Analysis in Cotton

    Ling Min;Yaoyao Li;Qin Hu;Longfu Zhu

  • Laccase GhLac1 Modulates Broad-Spectrum Biotic Stress Tolerance via Manipulating Phenylpropanoid Pathway and Jasmonic Acid Synthesis.

    Qin Hu;Ling Min;Xiyan Yang;Shuangxia Jin

  • CRISPR/Cas Systems in Genome Editing: Methodologies and Tools for sgRNA Design, Off-Target Evaluation, and Strategies to Mitigate Off-Target Effects.

    Hakim Manghwar;Bo Li;Xiao Ding;Amjad Hussain

  • A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton.

    Joseph I Said;Zhongxu Lin;Xianlong Zhang;Mingzhou Song

  • Small RNA and degradome sequencing reveal complex miRNA regulation during cotton somatic embryogenesis

    Xiyan Yang;Lichen Wang;Daojun Yuan;Keith Lindsey

  • QTL mapping for economic traits based on a dense genetic map of cotton with PCR-based markers using the interspecific cross of Gossypium hirsutum · Gossypium barbadense

    Dao-Hua He;Zhong-Xu Lin;Xian-Long Zhang;Yi-Chun Nie

  • Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs

    Cong Huang;Xinhui Nie;Xinhui Nie;Chao Shen;Chunyuan You

Frequent Co-Authors

Longfu Zhu
Longfu Zhu Huazhong Agricultural University
Keith Lindsey
Keith Lindsey Durham University
Fenglin Deng
Fenglin Deng Yangtze University
Henry Daniell
Henry Daniell University of Pennsylvania
Guoxin Shen
Guoxin Shen Texas Tech University
Fuguang Li
Fuguang Li Sanya University
Steven J. Klosterman
Steven J. Klosterman Agricultural Research Service
Paxton Payton
Paxton Payton Agricultural Research Service
Yijun Ruan
Yijun Ruan University of Connecticut Health Center
Jonathan F. Wendel
Jonathan F. Wendel Iowa State University

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