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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 89 1101 1041 21 20 276 39930

Li Yang publications per year

The chart shows the history of publications by Li Yang between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li Yang published across 29 years, from 1997 to 2025, averaging 20 papers a year. Output peaked at 108 publications in 2023. 58 of the 581 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 108. Peak 108 publications in 2023. 1997: 2 publications 1998: 0 publications 1999: 3 publications 2000: 0 publications 2001: 3 publications 2002: 0 publications 2003: 5 publications 2004: 7 publications 2005: 3 publications 2006: 5 publications 2007: 7 publications 2008: 9 publications 2009: 4 publications 2010: 11 publications 2011: 16 publications 2012: 9 publications 2013: 22 publications 2014: 21 publications 2015: 30 publications 2016: 23 publications 2017: 42 publications 2018: 29 publications 2019: 37 publications 2020: 49 publications 2021: 40 publications 2022: 38 publications 2023: 108 publications 2024: 28 publications 2025: 30 publications
1997 2025

581 publications in total across all disciplines

View publications per year as a table
Li Yang: publications per year, 1997 to 2025
Year Publications
1997 2
1998 0
1999 3
2000 0
2001 3
2002 0
2003 5
2004 7
2005 3
2006 5
2007 7
2008 9
2009 4
2010 11
2011 16
2012 9
2013 22
2014 21
2015 30
2016 23
2017 42
2018 29
2019 37
2020 49
2021 40
2022 38
2023 108
2024 28
2025 30
Total 581
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Li Yang publications per year - data summary

  • Li Yang, a Genetics scholar from Chinese Academy of Sciences, has 581 publications recorded across 29 years, from 1997 to 2025.
  • The oldest publication on record dates to 1997 and the most recent to 2025.
  • The most productive year is 2023, with 108 publications.
  • The least productive year with any output is 1997, with 2 publications.
  • 3 of the 29 years in the span carry no publications at all (1998, 2000 and 2002).
  • The rate of publication averages 20.0 papers per year over the whole span, or 22.3 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 244 publications, 42% of the career total.
  • Split into equal eras - 1997-2006: 28 publications (2.8 per year); 2007-2016: 152 publications (15.2 per year); 2017-2025: 401 publications (44.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Li Yang 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 Yang sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 275–284 publications, is where this scientist sits. 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
45–54 publications 703+

This scientist: 276 publications — 72nd percentile

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

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

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87 276
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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Li Yang publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Li Yang, a Genetics scholar from Chinese Academy of Sciences, records 276 publications - the 72nd percentile of the discipline.
  • 72% of ranked Genetics scientists score the same or lower than Li Yang, and about 28% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Li Yang ranks above the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Li Yang 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 Yang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 88–89 D-Index, is where this scientist sits. 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
40–41 D-Index 160+

This scientist: 89 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102 89
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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Li Yang D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Li Yang, a Genetics scholar from Chinese Academy of Sciences, records 89 D-Index - the 75th percentile of the discipline.
  • 75% of ranked Genetics scientists score the same or lower than Li Yang, and about 25% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Li Yang ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Overview

Li Yang is affiliated with the Chinese Academy of Sciences in China and has a substantial research background in Agricultural and Biological Sciences as well as Biochemistry, Genetics and Molecular Biology. Their work spans multiple subfields including Plant Science, Molecular Biology, Genetics, Agronomy and Crop Science, and Endocrine and Autonomic Systems.

The scientist's research contributions primarily focus on Plant Molecular Biology Research, Wheat and Barley Genetics and Pathology, Plant Stress Responses and Tolerance, Plant Virus Research Studies, Plant nutrient uptake and metabolism, Plant Gene Expression Analysis, and Genetic Mapping and Diversity in Plants and Animals.

Li Yang's notable recent papers include:

  • Melatonin promotes Arabidopsis primary root growth in an IAA-dependent manner, 2021, Journal of Experimental Botany
  • Strigolactones inhibit auxin feedback on PIN-dependent auxin transport canalization, 2020, Nature Communications
  • Targeted creation of new mutants with compact plant architecture using CRISPR/Cas9 genome editing by an optimized genetic transformation procedure in cucurbit plants, 2022, Horticulture Research
  • Single cell atlas for 11 non-model mammals, reptiles and birds, 2021, Nature Communications
  • Akkermansia muciniphila Improves Host Defense Against Influenza Virus Infection, 2021, Frontiers in Microbiology

Frequent co-authors collaborating with Li Yang include:

  • Hongjun Zhang
  • Hongjie Li
  • Hongwei Liu
  • Yang Zhou
  • Jinghuang Hu

The scholar's publications are often featured in these venues:

  • Frontiers in Plant Science
  • Journal of Experimental Botany
  • Horticulture Research
  • Plant Science
  • Nature Communications

Best Publications

  • Circular Intronic Long Noncoding RNAs

    Yang Zhang;Xiao-Ou Zhang;Tian Chen;Jian-Feng Xiang

  • Complementary Sequence-Mediated Exon Circularization

    Xiao-Ou Zhang;Hai-Bin Wang;Hai-Bin Wang;Yang Zhang;Xuhua Lu

  • Regulation of circRNA biogenesis

    Ling-Ling Chen;Li Yang

  • The developmental transcriptome of Drosophila melanogaster

    Brenton R. Graveley;Angela N. Brooks;Joseph W. Carlson;Michael O. Duff

  • The Biogenesis, Functions, and Challenges of Circular RNAs.

    Xiang Li;Li Yang;Li Yang;Ling-Ling Chen;Ling-Ling Chen

  • Expansion of myeloid immune suppressor Gr+CD11b+ cells in tumor-bearing host directly promotes tumor angiogenesis

    Li Yang;Laura M. DeBusk;Koari Fukuda;Barbara Fingleton

  • Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

    Sushmita Roy;Jason Ernst;Peter V. Kharchenko;Pouya Kheradpour

  • TGF-β and immune cells: an important regulatory axis in the tumor microenvironment and progression

    Li Yang;Yanli Pang;Harold L. Moses

  • Abrogation of TGFβ signaling in mammary carcinomas recruits Gr-1+CD11b+ myeloid cells that promote metastasis

    Li Yang;Jianhua Huang;Xiubao Ren;Agnieszka E. Gorska

  • Diverse alternative back-splicing and alternative splicing landscape of circular RNAs

    Xiao-Ou Zhang;Rui Dong;Rui Dong;Yang Zhang;Jia-Lin Zhang

  • Structure and Degradation of Circular RNAs Regulate PKR Activation in Innate Immunity.

    Chu-Xiao Liu;Xiang Li;Fang Nan;Shan Jiang

  • Human colorectal cancer-specific CCAT1-L lncRNA regulates long-range chromatin interactions at the MYC locus

    Jian-Feng Xiang;Qing-Fei Yin;Tian Chen;Yang Zhang

  • Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries

    Yudong Wang;Chongfeng Wu;Li Yang

  • Coordinated circRNA Biogenesis and Function with NF90/NF110 in Viral Infection

    Xiang Li;Chu-Xiao Liu;Wei Xue;Yang Zhang

  • The Biogenesis of Nascent Circular RNAs

    Yang Zhang;Wei Xue;Xiang Li;Jun Zhang

  • Genomewide characterization of non-polyadenylated RNAs

    Li Yang;Michael O Duff;Brenton R Graveley;Gordon G Carmichael

  • Long Noncoding RNAs with snoRNA Ends

    Qing-Fei Yin;Li Yang;Yang Zhang;Jian-Feng Xiang

  • Gr-1+CD11b+ Myeloid Cells Tip the Balance of Immune Protection to Tumor Promotion in the Premetastatic Lung

    Hannah H. Yan;Michael Pickup;Yanli Pang;Agnieszka E. Gorska

  • Base editing with a Cpf1–cytidine deaminase fusion

    Xiaosa Li;Xiaosa Li;Ying Wang;Yajing Liu;Yajing Liu;Bei Yang

Frequent Co-Authors

Ling-Ling Chen
Ling-Ling Chen Chinese Academy of Sciences
Donald Lien
Donald Lien The University of Texas at San Antonio
Xianyou Wang
Xianyou Wang Xiangtan University
Brenton R. Graveley
Brenton R. Graveley University of Connecticut Health Center
Gordon G. Carmichael
Gordon G. Carmichael University of Connecticut Health Center
David P. Carbone
David P. Carbone The Ohio State University
Yudong Wang
Yudong Wang Nanjing University of Science and Technology
Xingxu Huang
Xingxu Huang First Affiliated Hospital Zhejiang University
Norbert Perrimon
Norbert Perrimon Harvard University
Susan E. Celniker
Susan E. Celniker Lawrence Berkeley National Laboratory

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