World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
35
Citations
3505
World Ranking
9242
National Ranking
681

Xuguang Liu publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Xuguang Liu sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 87 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Xuguang Liu D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Xuguang Liu sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 35 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Xuguang Liu was affiliated with Imperial College London in the United Kingdom. Their research primarily focused on materials science and engineering, with significant contributions to materials chemistry and electrical and electronic engineering.

The scientist's work covered various subfields including water science and technology, renewable energy, sustainability and the environment, and analytical chemistry. Their main research topics included analytical chemistry methods development, adsorption and biosorption for pollutant removal, extraction and separation processes, advancements in battery materials, carbon and quantum dots applications, advanced photocatalysis techniques, and 2D materials and applications.

Frequent publication venues for Liu's work included:

  • Separation and Purification Technology
  • Chemical Engineering Journal
  • SSRN Electronic Journal
  • New Carbon Materials
  • Journal of Materials Chemistry C

Regular collaborators in Liu's research were Yongzhen Yang, Weifeng Liu, Meiling Wang, Lei Qin, and Dongju Fu.

Some of Liu's recent publications included:

  • Magnetic surface molecularly imprinted polymer for selective adsorption of quinoline from coking wastewater, 2020, Chemical Engineering Journal
  • A novel robust adsorbent for efficient oil/water separation: Magnetic carbon nanospheres/graphene composite aerogel, 2020, Journal of Hazardous Materials
  • Magnetic Fe3O4/ZIF-8 composite as an effective and recyclable adsorbent for phenol adsorption from wastewater, 2022, Separation and Purification Technology
  • Specific countermeasures to intrinsic capacity decline issues and future direction of LiMn2O4 cathode, 2023, Energy Storage Materials
  • Porous carbon nanospheres aerogel based molecularly imprinted polymer for efficient phenol adsorption and removal from wastewater, 2021, Separation and Purification Technology

Best Publications

  • Detecting time-dependent coherence between non-stationary electrophysiological signals--a combined statistical and time-frequency approach.

    Yang Zhan;David Halliday;Ping Jiang;Xuguang Liu

  • The sensory and motor representation of synchronized oscillations in the globus pallidus in patients with primary dystonia

    Xuguang Liu;Shouyan Wang;John Yianni;Dipankar Nandi

  • Involvement of the medial pallidum in focal myoclonic dystonia: A clinical and neurophysiological case study

    Xuguang Liu;Ivan C. Griffin;Simon G. Parkin;R. Christopher Miall

  • Deep brain stimulation of the pedunculopontine region in the normal non-human primate.

    Dipankar Nandi;Xuguang Liu;Jonathan L. Winter;Tipu Z. Aziz

  • Deep brain stimulation for generalised dystonia and spasmodic torticollis.

    Richard G. Bittar;John Yianni;ShouYan Wang;Xuguang Liu

  • Deep brain stimulation can regulate arterial blood pressure in awake humans.

    Alexander L. Green;Shouyan Wang;Sarah L. F. Owen;Kangning Xie

  • Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor.

    Shou-Yan Wang;Tipu Z. Aziz;John F. Stein;Xuguang Liu;Xuguang Liu;Xuguang Liu

  • The oscillatory activity in the Parkinsonian subthalamic nucleus investigated using the macro-electrodes for deep brain stimulation.

    X Liu;H L Ford-Dunn;G N Hayward;D Nandi

  • Quantifying drug-induced dyskinesias in the arms using digitised spiral-drawing tasks.

    Xuguang Liu;Camille B. Carroll;Shou-Yan Wang;John Zajicek

  • Thalamotomy versus thalamic stimulation for multiple sclerosis tremor.

    Richard G Bittar;Jonathan Hyam;Dipankar Nandi;ShouYan Wang

  • Different mechanisms may generate sustained hypertonic and rhythmic bursting muscle activity in idiopathic dystonia

    Xuguang Liu;John Yianni;Shouyan Wang;Peter G. Bain

  • Operative and hardware complications of deep brain stimulation for movement disorders

    A. Paluzzi;A. Belli;P. Bain;X. Liu

  • Electrophysiological confirmation of the zona incerta as a target for surgical treatment of disabling involuntary arm movements in multiple sclerosis: use of local field potentials

    D Nandi;M Chir;X Liu;P Bain

  • Analysis of action tremor and impaired control of movement velocity in multiple sclerosis during visually guided wrist-tracking tasks.

    Xuguang Liu;R. Christopher Miall;Tipu Z. Aziz;Jackie A. Palace

  • The influence of reactivity of the electrode–brain interface on the crossing electric current in therapeutic deep brain stimulation

    Nada Yousif;Richard Bayford;Xuguang Liu;Xuguang Liu

  • Localisation of the subthalamic nucleus using Radionics Image Fusion and Stereoplan combined with field potential recording. A technical note.

    X. Liu;J. Rowe;D. Nandi;G. Hayward

  • Neuronal Activity Related to the Visual Representation of Arm Movements in the Lateral Cerebellar Cortex

    Xuguang Liu;Edwin Robertson;R. Christopher Miall

  • Optimising coherence estimation to assess the functional correlation of tremor-related activity between the subthalamic nucleus and the forearm muscles

    Shou-Yan Wang;Xuguang Liu;Xuguang Liu;John Yianni;R. Christopher Miall

  • Brainstem motor loops in the control of movement.

    Dipankar Nandi;Tipu Z. Aziz;Xuguang Liu;John F. Stein

  • Targeting the subthalamic nucleus.

    T Z Aziz;D Nandi;S Parkin;X Liu

Frequent Co-Authors

John F. Stein
John F. Stein University of Oxford
Peter G. Bain
Peter G. Bain Imperial College London
Alexander L. Green
Alexander L. Green University of Oxford
Richard Bayford
Richard Bayford Middlesex University
R. C. Miall
R. C. Miall University of Birmingham
Werner Helsen
Werner Helsen KU Leuven
Bart Nuttin
Bart Nuttin KU Leuven
Jianfeng Feng
Jianfeng Feng Fudan University

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