World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
65
Citations
17498
World Ranking
9057
National Ranking
277

Jingyuan Song publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Jingyuan Song sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 225 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Jingyuan Song D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Jingyuan Song sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 65 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Jingyuan Song is affiliated with Peking Union Medical College Hospital in China, contributing extensively to the fields of biochemistry, genetics, and molecular biology. Their research spans 78 publications in these areas, with additional work intersecting medicine, represented by 36 publications.

Their main subfields of study include molecular biology, pharmacology, plant science, oncology, and complementary and alternative medicine. Song's research topics are diverse, focusing primarily on plant biochemistry and biosynthesis, genomics and phylogenetic studies, and saffron plant research. Other notable topics include plant gene expression analysis, natural product bioactivities and synthesis, ginseng biological effects and applications, and flavonoids in medical research.

Frequent publication venues where Song's work appears include:

  • Genomics Proteomics & Bioinformatics
  • Journal of Advanced Research
  • Measurement
  • The Plant Journal
  • Advanced Science

Collaborations are a significant aspect of Song's scientific output. The most frequent co-authors are Zhichao Xu, Ranran Gao, Xiangdong Pu, Tianyi Xin, and Shilin Chen, indicating a collaborative research environment.

Selected recent papers authored or co-authored by Song include:

  • The honeysuckle genome provides insight into the molecular mechanism of carotenoid metabolism underlying dynamic flower coloration, 2020, New Phytologist
  • Tandem gene duplications drive divergent evolution of caffeine and crocin biosynthetic pathways in plants, 2020, BMC Biology
  • Physiological and molecular mechanisms of medicinal plants in response to cadmium stress: Current status and future perspective, 2023, Journal of Hazardous Materials
  • Comparative Genome Analysis of Scutellaria Baicalensis and Scutellaria Barbata Reveals the Evolution of Active Flavonoid Biosynthesis, 2020, Genomics Proteomics & Bioinformatics
  • DNA barcoding in herbal medicine: Retrospective and prospective, 2023, Journal of Pharmaceutical Analysis

Best Publications

  • Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species.

    Shilin Chen;Hui Yao;Jianping Han;Chang Liu

  • Use of ITS2 Region as the Universal DNA Barcode for Plants and Animals

    Hui Yao;Jingyuan Song;Chang Liu;Kun Luo;Kun Luo

  • Genome sequence of the model medicinal mushroom Ganoderma lucidum

    Shilin Chen;Jiang Xu;Chang Liu;Yingjie Zhu

  • FastUniq: a fast de novo duplicates removal tool for paired short reads.

    Haibin Xu;Xiang Luo;Jun Qian;Xiaohui Pang

  • Full-length transcriptome sequences and splice variants obtained by a combination of sequencing platforms applied to different root tissues of Salvia miltiorrhiza and tanshinone biosynthesis.

    Zhichao Xu;Reuben J. Peters;Jason Weirather;Hongmei Luo

  • Ptr-miR397a is a negative regulator of laccase genes affecting lignin content in Populus trichocarpa.

    Shanfa Lu;Quanzi Li;Quanzi Li;Hairong Wei;Mao-Ju Chang

  • Identification of medicinal plants in the family Fabaceae using a potential DNA barcode ITS2

    Ting Gao;Hui Yao;Jingyuan Song;Chang Liu;Chang Liu

  • The complete chloroplast genome sequence of the medicinal plant Salvia miltiorrhiza.

    Jun Qian;Jingyuan Song;Huanhuan Gao;Yingjie Zhu

  • De Novo Sequencing and Analysis of the American Ginseng Root Transcriptome Using a GS FLX Titanium Platform to Discover Putative Genes Involved in Ginsenoside Biosynthesis

    Chao Sun;Ying Li;Qiong Wu;Hongmei Luo

  • A renaissance in herbal medicine identification: From morphology to DNA

    Shilin Chen;Xiaohui Pang;Jingyuan Song;Linchun Shi

  • Analysis of the Genome Sequence of the Medicinal Plant Salvia miltiorrhiza.

    Haibin Xu;Jingyuan Song;Hongmei Luo;Yujun Zhang

  • Evaluating the feasibility of using candidate DNA barcodes in discriminating species of the large Asteraceae family

    Ting Gao;Hui Yao;Jingyuan Song;Yingjie Zhu

  • Analysis of the transcriptome of Panax notoginseng root uncovers putative triterpene saponin-biosynthetic genes and genetic markers.

    Hongmei Luo;Chao Sun;Yongzhen Sun;Qiong Wu

  • Applying plant DNA barcodes for Rosaceae species identification

    Xiaohui Pang;Jingyuan Song;Yingjie Zhu;Hongxi Xu

  • Authentication of the family Polygonaceae in Chinese pharmacopoeia by DNA barcoding technique

    Jingyuan Song;Hui Yao;Ying Li;Xiwen Li

  • Identification of Dendrobium species by a candidate DNA barcode sequence: the chloroplast psbA-trnH intergenic region.

    Hui Yao;Jing-Yuan Song;Xin-Ye Ma;Chang Liu

  • Extensive Pyrosequencing Reveals Frequent Intra-Genomic Variations of Internal Transcribed Spacer Regions of Nuclear Ribosomal DNA

    Jingyuan Song;Linchun Shi;Dezhu Li;Yongzhen Sun

  • An authenticity survey of herbal medicines from markets in China using DNA barcoding.

    Jianping Han;Xiaohui Pang;Baosheng Liao;Hui-Ming Yao

  • 454 EST analysis detects genes putatively involved in ginsenoside biosynthesis in Panax ginseng.

    S. Chen;H. Luo;Y. Li;Y. Sun

  • Transcriptome analysis reveals ginsenosides biosynthetic genes, microRNAs and simple sequence repeats in Panax ginseng C. A. Meyer

    Chunfang Li;Yingjie Zhu;Xu Guo;Chao Sun

Frequent Co-Authors

Shilin Chen
Shilin Chen Peking Union Medical College Hospital
Songnian Hu
Songnian Hu Chinese Academy of Sciences
Hong-Xi Xu
Hong-Xi Xu Shanghai University
Reuben J. Peters
Reuben J. Peters Iowa State University
Yitao Wang
Yitao Wang University of Macau
Alice Hayward
Alice Hayward University of Queensland
David R. Nelson
David R. Nelson University of Tennessee Health Science Center
Luk H. Vandenberghe
Luk H. Vandenberghe Massachusetts Eye and Ear Infirmary
Patricia A. D'Amore
Patricia A. D'Amore Massachusetts Eye and Ear Infirmary
David C. Schwartz
David C. Schwartz University of Wisconsin–Madison

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:

Best Scientists Citing Jingyuan Song

Trending Scientists

Recently Published Articles