World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
9533
World Ranking
8230
National Ranking
3530

Lihong 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 Lihong 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: 122 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Lihong 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 Lihong 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Lihong Wang is affiliated with the University of Connecticut Health Center in the United States. Their research primarily lies within the broad field of Medicine, with a particular focus on Cardiology and Cardiovascular Medicine. They have also contributed to Cognitive Neuroscience, Experimental and Cognitive Psychology, Biomedical Engineering, and Surgery.

The core topics in Wang's research portfolio include Functional Brain Connectivity Studies, Mental Health Research Topics, Neural Dynamics and Brain Function, Cardiac Pacing and Defibrillation Studies, Cardiac Electrophysiology and Arrhythmias, Cardiac Arrhythmias and Treatments, and Heart Failure Treatment and Management.

Wang has published in various scientific venues, including:

  • Journal of Affective Disorders
  • BMC Cardiovascular Disorders
  • Perfusion
  • Medicine

Their recent papers represent a range of interests combining cardiology and mental health themes. Notable publications include:

  • "Increased prefrontal cortex connectivity associated with depression vulnerability and relapse," 2022, Journal of Affective Disorders
  • "Pacemaker implantation in patients with major depression, should it be of concern? A case report and literature review," 2020, BMC Cardiovascular Disorders
  • "Levosimendan administration is not associated with increased risk of bleeding and blood transfusion requirement in patients undergoing off-pump coronary artery bypass grafting: a retrospective study from single center," 2021, Perfusion
  • "Vasoactive-inotropic agents in pediatric patients undergoing cardiac surgery: A single-center retrospective study," 2025, Medicine

Among frequent collaborators, Wang has worked with several researchers multiple times, including Yun-tai Yao, Zhuqing Zhang, Minghao Yang, Zhi-Peng Guo, and Dan Liao.

Best Publications

  • Toward discovery science of human brain function

    Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel

  • Identification of MCI individuals using structural and functional connectivity networks

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Kevin Denny

  • Ventromedial Prefrontal Cortex Encodes Emotional Value

    Amy Winecoff;John A. Clithero;R. McKell Carter;Sara R. Bergman

  • Delivering Happiness: Translating Positive Psychology Intervention Research for Treating Major and Minor Depressive Disorders

    Kristin Layous;Joseph Chancellor;Sonja Lyubomirsky;Lihong Wang

  • Psychological and Neural Mechanisms of Trait Mindfulness in Reducing Depression Vulnerability

    Natalie A. Paul;Steven J. Stanton;Jeffrey M. Greeson;Moria J. Smoski

  • Prefrontal mechanisms for executive control over emotional distraction are altered in major depression.

    Lihong Wang;Kevin S. LaBar;Moria Smoski;M. Zachary Rosenthal

  • Scan-rescan reliability of subcortical brain volumes derived from automated segmentation.

    Rajendra A. Morey;Elizabeth S. Selgrade;Elizabeth S. Selgrade;Henry Ryan Wagner;Henry Ryan Wagner;Scott A. Huettel

  • Enriched white matter connectivity networks for accurate identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Wenbin Li;Kevin Denny

  • Cortical Deactivation in Mild Cognitive Impairment: High-Field-Strength Functional MR Imaging

    Jeffrey R Petrella;Lihong Wang;Sriyesh Krishnan;Melissa J Slavin

  • Role of the inferior frontal cortex in coping with distracting emotions.

    Florin Dolcos;Philip Kragel;Lihong Wang;Gregory McCarthy

  • Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification

    Chong Yaw Wee;Pew Thian Yap;Daoqiang Zhang;Daoqiang Zhang;Lihong Wang

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Role of inflammation in depression relapse.

    Chun-Hong Liu;Guang-Zhong Zhang;Bin Li;Meng Li

  • Neural networks and the anti-inflammatory effect of transcutaneous auricular vagus nerve stimulation in depression

    Chun-Hong Liu;Ming-Hao Yang;Guang-Zhong Zhang;Xiao-Xu Wang

  • Opposing influences of emotional and non-emotional distracters upon sustained prefrontal cortex activity during a delayed-response working memory task.

    Florin Dolcos;Paul Diaz-Granados;Lihong Wang;Gregory McCarthy;Gregory McCarthy;Gregory McCarthy

  • Amygdala activation to sad pictures during high-field (4 tesla) functional magnetic resonance imaging.

    Lihong Wang;Gregory McCarthy;Allen W. Song;Kevin S. LaBar

  • Altered cerebellar-cerebral functional connectivity in geriatric depression.

    Emmanuel Alalade;Kevin Denny;Guy Potter;David Steffens

  • Resting-state multi-spectrum functional connectivity networks for identification of MCI patients.

    Chong Yaw Wee;Pew Thian Yap;Kevin Denny;Jeffrey N. Browndyke

  • Prognostic Value of Posteromedial Cortex Deactivation in Mild Cognitive Impairment

    Jeffrey R. Petrella;Steven E. Prince;Lihong Wang;Caroline Hellegers

  • Mood alters amygdala activation to sad distractors during an attentional task.

    Lihong Wang;Kevin S. LaBar;Gregory McCarthy;Gregory McCarthy

Frequent Co-Authors

David C. Steffens
David C. Steffens University of Connecticut
Gregory McCarthy
Gregory McCarthy Yale University
Guy G. Potter
Guy G. Potter Duke University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Florin Dolcos
Florin Dolcos University of Illinois at Urbana-Champaign
Godfrey D. Pearlson
Godfrey D. Pearlson Yale University
F. Joseph McClernon
F. Joseph McClernon Duke University
Chong Yaw Wee
Chong Yaw Wee University of North Carolina at Chapel Hill
Ryusuke Kakigi
Ryusuke Kakigi National Institutes of Natural Sciences
Scott A. Huettel
Scott A. Huettel Duke University

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:

Related Online Degrees & Career Pathways

Exploring neuroscience opens doors to a wide range of career possibilities, both in research and applied fields. If you're considering a flexible and affordable route, many colleges online that accept fafsa can help you finance your education and pursue your passion remotely.

For those seeking a solid return on investment, consider how your chosen field compares with other college majors that make the most money. While neuroscience can lead to lucrative roles in healthcare, data science, and psychology, pairing your degree with relevant skills can be equally important.

If you want to boost your credentials quickly, look into online certification courses related to neuroscience, such as data analysis, mental health, or biotechnology. Certifications can make you stand out in a competitive job market.

Finally, if you prefer a smoother academic journey, you might also consider easy bachelor degrees online that align with your interests in neuroscience, giving you more flexibility while still opening doors to excellent career pathways.

Best Scientists Citing Lihong Wang

Trending Scientists

Recently Published Articles