World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
10218
World Ranking
6396
National Ranking
1756

Wei-Min Shen publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Wei-Min Shen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 166 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Wei-Min Shen D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Wei-Min Shen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Wei-Min Shen is affiliated with the University of Southern California in the United States. Their research spans several areas within Biochemistry, Genetics, and Molecular Biology, with notable contributions to Molecular Biology, Neurology, Plant Science, Epidemiology, and Developmental Neuroscience.

Shen's work covers multiple key topics, including:

  • Neuroinflammation and Neurodegeneration Mechanisms
  • RNA Research and Splicing
  • Autophagy in Disease and Therapy
  • RNA modifications and cancer
  • Nuclear Structure and Function
  • RNA and protein synthesis mechanisms
  • Reproductive Biology and Fertility

Frequent collaborators in Shen's research include Anming Meng, Qingfeng Xie, Yao Lin, Luxi Chen, and Jing-Yan Cheng.

Shen's scientific publishing record shows a presence in several journals, with multiple works appearing in Life Sciences, Experimental Neurology, Frontiers in Cell and Developmental Biology, SSRN Electronic Journal, and Cell.

Recent significant publications authored or co-authored by Wei-Min Shen include:

  • "Comprehensive maturity of nuclear pore complexes regulates zygotic genome activation" (2022, Cell)
  • "Treadmill exercise promotes neurogenesis and myelin repair via upregulating Wnt/β-catenin signaling pathways in the juvenile brain following focal cerebral ischemia/reperfusion" (2020, International Journal of Molecular Medicine)
  • "5' Half of specific tRNAs feeds back to promote corresponding tRNA gene transcription in vertebrate embryos" (2021, Science Advances)
  • "Mapping putative enhancers in mouse oocytes and early embryos reveals TCF3/12 as key folliculogenesis regulators" (2024, Nature Cell Biology)
  • "Treadmill exercise enhances synaptic plasticity in the ischemic penumbra of MCAO mice by inducing the expression of Camk2a via CYFIP1 upregulation" (2021, Life Sciences)

The research activities of Wei-Min Shen demonstrate an interdisciplinary approach, connecting molecular biology techniques with neurological and developmental studies. This includes examining mechanisms underlying neurodegeneration, RNA processing, and the regulation of gene expression in embryos and brain injury models.

Best Publications

  • Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]

    M. Yim;Wei-Min Shen;B. Salemi;D. Rus

  • Adopt: asynchronous distributed constraint optimization with quality guarantees

    Pragnesh Jay Modi;Wei-Min Shen;Milind Tambe;Makoto Yokoo

  • Query reformulation for dynamic information integration

    Yigal Arens;Craig A. Knoblock;Wei-Min Shen

  • Data Preprocessing and Intelligent Data Analysis

    A. Famili;Wei-Min Shen;Richard Weber;Evangelos Simoudis

  • Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots

    Wei-Min Shen;B. Salemi;P. Will

  • SUPERBOT: A Deployable, Multi-Functional, and Modular Self-Reconfigurable Robotic System

    Behnam Salemi;Mark Moll;Wei-min Shen

  • Resource integration using a large knowledge base in Carnot

    C. Collet;M.N. Huhns;W.-M. Shen

  • An asynchronous complete method for distributed constraint optimization

    Pragnesh Jay Modi;Wei-Min Shen;Milind Tambe;Makoto Yokoo

  • Modular Self-Reconfigurable Robot Systems

    Mark Yim;Wei-Min Shen;Behnam Salemi;Daniela Rus

  • CONRO: Towards Deployable Robots with Inter-Robots Metamorphic Capabilities

    Andres Castano;Wei-Min Shen;Peter Will

  • Modular Self-reconfigurable Robot Systems: Challenges and Opportunities for the Future

    Mark H. Yim;Wei-min Shen;Benham Salemi;Daniela Rus

  • Multimode locomotion via SuperBot reconfigurable robots

    Wei-Min Shen;Maks Krivokon;Harris Chiu;Jacob Everist

  • Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms

    Wei-Min Shen;Peter Will;Aram Galstyan;Cheng-Ming Chuong

  • Distributed control and coordination of autonomous agents in a dynamic, reconfigurable system

    Wei-Min Shen;Behnam Salemi;Peter Will

  • A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation

    Pragnesh J. Modi;Hyuckchul Jung;Milind Tambe;Wei-Min Shen

  • Docking among independent and autonomous CONRO self-reconfigurable robots

    M. Rubenstein;K. Payne;P. Will;Wei-Min Shen

  • Integument pattern formation involves genetic and epigenetic controls: feather arrays simulated by digital hormone models.

    Ting Xin Jiang;Randall B. Widelitz;Wei Min Shen;Peter Will

  • Metaqueries for data mining

    Wei-Min Shen;KayLiang Ong;Bharat Mitbander;Carlo Zaniolo

  • Using role-based control to produce locomotion in chain-type self-reconfigurable robots

    K. Stoy;Wei-Min Shen;P.M. Will

  • Hormone-controlled metamorphic robots

    B. Salemi;Wei-Min Shen;P. Will

  • Docking in self-reconfigurable robots

    Wei-Min Shen;P. Will

Frequent Co-Authors

Milind Tambe
Milind Tambe Harvard University
Cheng-Ming Chuong
Cheng-Ming Chuong University of Southern California
Michael N. Huhns
Michael N. Huhns University of South Carolina
Eric Klavins
Eric Klavins University of Washington
Hod Lipson
Hod Lipson Columbia University
Mark Yim
Mark Yim University of Pennsylvania
Makoto Yokoo
Makoto Yokoo Kyushu University
Chih-Min Lin
Chih-Min Lin Yuan Ze University
Gregory S. Chirikjian
Gregory S. Chirikjian University of Delaware

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