World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
15104
World Ranking
3261
National Ranking
1513

Xiaoqin Wang 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 Xiaoqin Wang 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: 148 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Xiaoqin Wang 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 Xiaoqin Wang 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: 64 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Xiaoqin Wang is affiliated with Johns Hopkins University School of Medicine in the United States. Their research primarily focuses on the field of Neuroscience, with 58 publications, emphasizing Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental Biology, Molecular Biology, and Social Psychology.

The main topics addressed in their work cover neural dynamics and brain function, neuroscience and music perception, mental health research topics, animal vocal communication and behavior, functional brain connectivity studies, child and adolescent psychosocial and emotional development, and issues related to anxiety, depression, psychometrics, treatment, and cognitive processes.

Frequent coauthors collaborating with Xiaoqin Wang include:

  • Chenggang Chen
  • Jiang Qiu
  • Yang Zhang
  • Dongtao Wei
  • Omar Dewidar

They have published extensively in venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Proceedings of the National Academy of Sciences, Journal of Affective Disorders, and American Psychologist.

Recent papers illustrate a range of topics and years of publication:

  • Large-scale production of extracellular vesicles: Report on the "massivEVs" ISEV workshop, 2022, Journal of Extracellular Biology
  • Individual differences in neuroticism personality trait in emotion regulation, 2020, Journal of Affective Disorders
  • Understanding a STEM teacher's emotions and professional identities: a three-year longitudinal case study, 2021, International Journal of STEM Education
  • Emotion regulation strategies and psychological health across cultures, 2023, American Psychologist
  • State loneliness is associated with emotional hypervigilance in daily life: A network analysis, 2020, Personality and Individual Differences

Best Publications

  • LANGUAGE COMPREHENSION IN LANGUAGE-LEARNING IMPAIRED CHILDREN IMPROVED WITH ACOUSTICALLY MODIFIED SPEECH

    P. Tallal;S. L. Miller;G. Bedi;G. Byma

  • The neuronal representation of pitch in primate auditory cortex

    Daniel Bendor;Xiaoqin Wang

  • Remodelling of hand representation in adult cortex determined by timing of tactile stimulation

    Xiaoqin Wang;Xiaoqin Wang;Michael M. Merzenich;Koichi Sameshima;Koichi Sameshima;William M. Jenkins

  • Neural substrates of vocalization feedback monitoring in primate auditory cortex

    Steven J. Eliades;Xiaoqin Wang

  • Temporal and rate representations of time-varying signals in the auditory cortex of awake primates.

    Thomas Lu;Li Liang;Xiaoqin Wang

  • Representation of a species-specific vocalization in the primary auditory cortex of the common marmoset: temporal and spectral characteristics

    Xiaoqin Wang;M. M. Merzenich;R. Beitel;C. E. Schreiner

  • Sustained firing in auditory cortex evoked by preferred stimuli

    Xiaoqin Wang;Thomas Lu;Ross K. Snider;Ross K. Snider;Li Liang

  • Sensory-Motor Interaction in the Primate Auditory Cortex During Self-Initiated Vocalizations

    Steven J. Eliades;Xiaoqin Wang

  • Marmosets: A Neuroscientific Model of Human Social Behavior

    Cory T. Miller;Winrich A. Freiwald;David A. Leopold;Jude F. Mitchell

  • Wireless multichannel biopotential recording using an integrated FM telemetry circuit

    P. Mohseni;K. Najafi;S.J. Eliades;Xiaoqin Wang

  • Neural representations of sinusoidal amplitude and frequency modulations in the primary auditory cortex of awake primates.

    Li Liang;Thomas Lu;Xiaoqin Wang

  • Neural coding of temporal information in auditory thalamus and cortex

    Xiaoqin Wang;Thomas Lu;Daniel Bendor;Edward Bartlett

  • Neural Response Properties of Primary, Rostral, and Rostrotemporal Core Fields in the Auditory Cortex of Marmoset Monkeys

    Daniel Bendor;Xiaoqin Wang

  • Acoustic analysis of vocal development in a New World primate, the common marmoset (Callithrix jacchus)

    Ashley L. Pistorio;Brett Vintch;Xiaoqin Wang

  • On cortical coding of vocal communication sounds in primates.

    Xiaoqin Wang

  • Cortical representations of pitch in monkeys and humans.

    Daniel Bendor;Xiaoqin Wang

  • Differential representation of species-specific primate vocalizations in the auditory cortices of marmoset and cat.

    Xiaoqin Wang;Siddhartha C. Kadia

  • Neural mechanisms underlying temporal integration, segmentation, and input sequence representation: some implications for the origin of learning disabilities.

    Michael M. Merzenich;Christoph Schreiner;William Jenkins;Xiaoqin Wang

  • Spectral integration in A1 of awake primates: neurons with single- and multipeaked tuning characteristics.

    Siddhartha C. Kadia;Xiaoqin Wang

  • Neural representations of temporally asymmetric stimuli in the auditory cortex of awake primates.

    Thomas Lu;Li Liang;Xiaoqin Wang

  • Opportunities and challenges in modeling human brain disorders in transgenic primates

    Charles G Jennings;Rogier Landman;Rogier Landman;Yang Zhou;Jitendra Sharma

Frequent Co-Authors

Michael M. Merzenich
Michael M. Merzenich University of California, San Francisco
Christoph E. Schreiner
Christoph E. Schreiner University of California, San Francisco
Srikantan S. Nagarajan
Srikantan S. Nagarajan University of California, San Francisco
Steven S. Hsiao
Steven S. Hsiao Johns Hopkins University
Charles C. Della Santina
Charles C. Della Santina Johns Hopkins University
Paula Tallal
Paula Tallal Rutgers, The State University of New Jersey
Shihab A. Shamma
Shihab A. Shamma University of Maryland, College Park
Khalil Najafi
Khalil Najafi University of Michigan–Ann Arbor

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 Xiaoqin Wang

Trending Scientists

Recently Published Articles