World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
61
Citations
22637
World Ranking
1129
National Ranking
89

Xin-Guang Zhu 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 Xin-Guang Zhu 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: 186 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Xin-Guang Zhu 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 Xin-Guang Zhu 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: 61 D-Index — 83rd percentile

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

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Botany
  • Photosynthesis

The scientist’s investigation covers issues in Photosynthesis, Botany, RuBisCO, Crop yield and Agronomy. Photosynthetic efficiency and Photorespiration are among the areas of Photosynthesis where the researcher is concentrating his efforts. His work in Photosynthetic efficiency tackles topics such as Crop which are related to areas like Interception and Global warming.

Xin-Guang Zhu focuses mostly in the field of Botany, narrowing it down to matters related to Biological system and, in some cases, Sucrose. His RuBisCO study incorporates themes from Growing season, Stomatal conductance, Metabolite, Carbon dioxide and Metabolism. His work deals with themes such as Photosynthetic capacity, Arid, Carbon fixation, Oryza sativa and C-4, which intersect with Crop yield.

His most cited work include:

  • Improving Photosynthetic Efficiency for Greater Yield (966 citations)
  • Improving Photosynthetic Efficiency for Greater Yield (966 citations)
  • Can improvement in photosynthesis increase crop yields (893 citations)

What are the main themes of his work throughout his whole career to date?

Xin-Guang Zhu spends much of his time researching Photosynthesis, Botany, Agronomy, Gene and Canopy. Photosynthesis and Biophysics are commonly linked in his work. His research investigates the link between Botany and topics such as Horticulture that cross with problems in Oryza sativa.

His Agronomy research is multidisciplinary, incorporating perspectives in Biomass and Bioenergy. His biological study deals with issues like Growing season, which deal with fields such as Sowing. His studies examine the connections between Photosynthetic efficiency and genetics, as well as such issues in Crop, with regards to Biotechnology and Yield.

He most often published in these fields:

  • Photosynthesis (76.70%)
  • Botany (30.11%)
  • Agronomy (29.55%)

What were the highlights of his more recent work (between 2019-2021)?

  • Photosynthesis (76.70%)
  • Cultivar (13.07%)
  • Horticulture (9.66%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Photosynthesis, Cultivar, Horticulture, Agronomy and Biomass. In general Photosynthesis, his work in Photosystem II is often linked to Halophyte linking many areas of study. His Horticulture study integrates concerns from other disciplines, such as Respiration, Heritability, Molecular genetics, Oryza sativa and Candidate gene.

His study in the fields of Water-use efficiency and Productivity under the domain of Agronomy overlaps with other disciplines such as Precipitation and Yield. The Biomass study combines topics in areas such as Regulator, Photosynthetic efficiency, Germination and Drought tolerance. His Ideotype research includes elements of Endosperm and Crop yield.

Between 2019 and 2021, his most popular works were:

  • A wish list for synthetic biology in photosynthesis research. (6 citations)
  • Decomposition analysis on soybean productivity increase under elevated CO2 using 3-D canopy model reveals synergestic effects of CO2 and light in photosynthesis (4 citations)
  • Natural variation in the fast phase of chlorophyll a fluorescence induction curve (OJIP) in a global rice minicore panel (3 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Botany
  • DNA

Xin-Guang Zhu mainly focuses on Photosynthesis, Natural variation, Protein sequencing, Trait and Morphology. His Photosynthesis research is multidisciplinary, relying on both Chlorophyll a and Analytical chemistry. Xin-Guang Zhu has included themes like Data science, Emerging technologies and Synthetic biology in his Natural variation study.

His work in Protein sequencing incorporates the disciplines of Genus, Flaveria, Phylogenetic tree, Gene expression and Abundance. Xin-Guang Zhu integrates many fields in his works, including Trait and Evolutionary biology.

Best Publications

  • Improving Photosynthetic Efficiency for Greater Yield

    Xin Guang Zhu;Xin Guang Zhu;Stephen P. Long;Donald R. Ort

  • Can improvement in photosynthesis increase crop yields

    Stephen P. Long;Xin Guang Zhu;Shawna L. Naidu;Donald R. Ort

  • What is the maximum efficiency with which photosynthesis can convert solar energy into biomass

    Xin Guang Zhu;Stephen P. Long;Donald R. Ort;Donald R. Ort

  • Redesigning photosynthesis to sustainably meet global food and bioenergy demand

    Donald R. Ort;Donald R. Ort;Sabeeha S. Merchant;Jean Alric;Alice Barkan

  • Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential

    Stephen P. Long;Amy Marshall-Colon;Xin Guang Zhu

  • Raising yield potential of wheat. II. Increasing photosynthetic capacity and efficiency

    Martin A. J. Parry;Matthew Reynolds;Michael E. Salvucci;Christine Raines

  • Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

    Jisen Zhang;Xingtan Zhang;Haibao Tang;Qing Zhang

  • A meta-analysis of elevated [CO2] effects on soybean (Glycine max) physiology, growth and yield

    Elizabeth A. Ainsworth;Phillip A. Davey;Carl J. Bernacchi;Orla C. Dermody

  • The pineapple genome and the evolution of CAM photosynthesis

    Ray Ming;Ray Ming;Robert VanBuren;Robert VanBuren;Robert VanBuren;Ching Man Wai;Ching Man Wai;Haibao Tang;Haibao Tang

  • Optimizing the Distribution of Resources between Enzymes of Carbon Metabolism Can Dramatically Increase Photosynthetic Rate: A Numerical Simulation Using an Evolutionary Algorithm

    Xin Guang Zhu;Eric De Sturler;Stephen P. Long

  • The slow reversibility of photosystem II thermal energy dissipation on transfer from high to low light may cause large losses in carbon gain by crop canopies: a theoretical analysis

    Xin Guang Zhu;Donald R. Ort;John Whitmarsh;John Whitmarsh;Stephen P. Long

  • Setaria viridis: A Model for C4 Photosynthesis

    Thomas P. Brutnell;Lin Wang;Kerry Swartwood;Alexander Goldschmidt

  • Optimizing Antenna Size to Maximize Photosynthetic Efficiency

    Donald R. Ort;Xinguang Zhu;Anastasios Melis

  • Melatonin delays leaf senescence and enhances salt stress tolerance in rice.

    Chengzhen Liang;Guangyong Zheng;Wenzhen Li;Yiqin Wang

  • Chlorophyll a fluorescence induction kinetics in leaves predicted from a model describing each discrete step of excitation energy and electron transfer associated with Photosystem II

    Xin-Guang Zhu;Govindjee;Neil R. Baker;Eric deSturler

  • Exploiting the engine of C4 photosynthesis

    Rowan F. Sage;Xin-Guang Zhu

  • Comparative analyses of C-4 and C-3 photosynthesis in developing leaves of maize and rice

    Lin Wang;Angelika Czedik-Eysenberg;Rachel A Mertz;Yaqing Si

  • Would transformation of C3 crop plants with foreign Rubisco increase productivity? A computational analysis extrapolating from kinetic properties to canopy photosynthesis

    X.-G. Zhu;A. R. Portis;S. P. Long

  • The Mechanistic Basis of Internal Conductance: A Theoretical Analysis of Mesophyll Cell Photosynthesis and CO2 Diffusion

    Danny Tholen;Xin-Guang Zhu

  • Variable mesophyll conductance revisited: theoretical background and experimental implications

    Danny Tholen;Gilbert Ethier;Bernard Genty;Bernard Genty;Bernard Genty;Steeve Pepin

  • Source-sink interaction: a century old concept under the light of modern molecular systems biology.

    Tian-Gen Chang;Xin-Guang Zhu;Christine Raines

  • Optimal crop canopy architecture to maximise canopy photosynthetic CO2 uptake under elevated CO2 – a theoretical study using a mechanistic model of canopy photosynthesis

    Qingfeng Song;Guilian Zhang;Xin-Guang Zhu

  • An analysis of ozone damage to historical maize and soybean yields in the United States

    Justin M. McGrath;Amy M. Betzelberger;Shaowen Wang;Eric A Shook

  • Three distinct biochemical subtypes of C4 photosynthesis? A modelling analysis

    Yu Wang;Andrea Bräutigam;Andreas P. M. Weber;Xin-Guang Zhu

  • Opinion: Prospects for improving photosynthesis by altering leaf anatomy

    Danny Tholen;Carolina Boom;Xin-Guang Zhu

  • Optimizing the Distribution of Resources between Enzymes of Carbon Metabolism Can Dramatically Increase Photosynthetic Rate: A Numerical Simulation

    Xin-Guang Zhu;Eric de Sturler;Stephen P. Long

Frequent Co-Authors

Stephen P. Long
Stephen P. Long University of Illinois at Urbana-Champaign
Donald R. Ort
Donald R. Ort University of Illinois at Urbana-Champaign
Carl J. Bernacchi
Carl J. Bernacchi University of Illinois at Urbana-Champaign
Chengcai Chu
Chengcai Chu South China Agricultural University
Andreas P. M. Weber
Andreas P. M. Weber Heinrich Heine University Düsseldorf
Elizabeth A. Ainsworth
Elizabeth A. Ainsworth University of Illinois at Urbana-Champaign
Julian M. Hibberd
Julian M. Hibberd University of Cambridge
Martin A. J. Parry
Martin A. J. Parry Lancaster University
Ray Ming
Ray Ming University of Illinois at Urbana-Champaign
Rowan F. Sage
Rowan F. Sage University of Toronto

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