World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
48
Citations
7586
World Ranking
2439
National Ranking
230

Shaokun Li publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Shaokun Li sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 227 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Shaokun Li D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Shaokun Li sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 48 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Best Publications

  • High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

    Xiuliang Jin;Pablo J. Zarco-Tejada;Urs Schmidhalter;Matthew P. Reynolds

  • Grain yields in relation to N requirement: Optimizing nitrogen management for spring maize grown in China

    Peng Hou;Qiang Gao;Ruizhi Xie;Shaokun Li

  • Optimizing water use efficiency and economic return of super high yield spring maize under drip irrigation and plastic mulching in arid areas of China

    Guoqiang Zhang;Chaowei Liu;Chunhua Xiao;Ruizhi Xie

  • Research progress on reduced lodging of high-yield and -density maize

    Jun Xue;Rui-zhi Xie;Wang-feng Zhang;Ke-ru Wang

  • Variations in Maize Dry Matter, Harvest Index, and Grain Yield with Plant Density

    J. Li;R. Z. Xie;K. R. Wang;B. Ming

  • Canopy characteristics of high-yield maize with yield potential of 22.5 Mg ha−1

    Guangzhou Liu;Peng Hou;Ruizhi Xie;Bo Ming

  • Changes in the morphological traits of maize genotypes in China between the 1950s and 2000s

    D.L. Ma;R.Z. Xie;X.K. Niu;S.K. Li

  • Temporal and spatial variation in accumulated temperature requirements of maize

    Peng Hou;Yuee Liu;Ruizhi Xie;Bo Ming

  • How to increase maize production without extra nitrogen input

    Peng Hou;Yuee Liu;Wanmao Liu;Guangzhou Liu

  • Adjusting maize plant density to different climatic conditions across a large longitudinal distance in China

    Wenjuan Xu;Chaowei Liu;Keru Wang;Ruizhi Xie

  • Effects of deep vertical rotary tillage on dry matter accumulation and grain yield of summer maize in the Huang-Huai-Hai Plain of China

    Unknown

  • Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

    Xiuliang Jin;Zhenhai Li;Haikuan Feng;Zhibin Ren

  • Yield gap and resource utilization efficiency of three major food crops in the world – A review

    Unknown

  • Phenological responses of maize to changes in environment when grown at different latitudes in China

    Yuee Liu;Ruizhi Xie;Peng Hou;Shaokun Li

  • Traits of plant morphology, stalk mechanical strength, and biomass accumulation in the selection of lodging-resistant maize cultivars

    Jun Xue;Shang Gao;Yinghu Fan;Lulu Li

  • Quantifying contributions of leaf area and longevity to leaf area duration under increased planting density and nitrogen input regimens during maize yield improvement

    Unknown

  • A global analysis of dry matter accumulation and allocation for maize yield breakthrough from 1.0 to 25.0 Mg ha−1

    Unknown

  • Estimation of wheat agronomic parameters using new spectral indices.

    Xiu-liang Jin;Wan-ying Diao;Chun-hua Xiao;Fang-yong Wang

  • SPEIPM-based research on drought impact on maize yield in North China Plain

    Unknown

  • Contribution of total dry matter and harvest index to maize grain yield—A multisource data analysis

    Wanmao Liu;Peng Hou;Guangzhou Liu;Yunshan Yang

  • Improving maize grain yield by matching maize growth and solar radiation

    Yunshan Yang;Wenjuan Xu;Peng Hou;Guangzhou Liu

  • Using irrigation intervals to optimize water-use efficiency and maize yield in Xinjiang, northwest China

    Guoqiang Zhang;Dongping Shen;Bo Ming;Ruizhi Xie

  • Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model

    Xiuliang Jin;Zhenhai Li;Haikuan Feng;Zhibin Ren

  • Dry matter accumulation after silking and kernel weight are the key factors for increasing maize yield and water use efficiency

    Feng Wang;Ruizhi Xie;Bo Ming;Keru Wang

  • Influence of plastic film mulching and planting density on yield, leaf anatomy, and root characteristics of maize on the Loess Plateau

    Li Niu;Yanyan Yan;Peng Hou;Wenbo Bai

  • Genetic gains in maize yield and related traits for high-yielding cultivars released during 1980s to 2010s in China

    Guangzhou Liu;Haishun Yang;Ruizhi Xie;Yunshan Yang

  • Improving the yield potential in maize by constructing the ideal plant type and optimizing the maize canopy structure

    Rongfa Li;Guoqiang Zhang;Guangzhou Liu;Keru Wang

  • Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat

    Xiu-liang Jin;Ke-ru Wang;Chun-hua Xiao;Wan-ying Diao

  • Evaluating the severity level of cotton Verticillium using spectral signature analysis

    Bing Chen;Shaokun Li;Keru Wang;Guoqing Zhou

Frequent Co-Authors

Rajeev K. Varshney
Rajeev K. Varshney Murdoch University
Fusuo Zhang
Fusuo Zhang China Agricultural University
Xinping Chen
Xinping Chen Southwest University
Malcolm J. Hawkesford
Malcolm J. Hawkesford Rothamsted Research
Volker Römheld
Volker Römheld University of Hohenheim
Urs Schmidhalter
Urs Schmidhalter Technical University of Munich
Qingfeng Meng
Qingfeng Meng China Agricultural University
Torsten Müller
Torsten Müller University of Hohenheim
Matthew P. Reynolds
Matthew P. Reynolds International Maize and Wheat Improvement Center
Zhenling Cui
Zhenling Cui China Agricultural University

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