World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
10218
World Ranking
6394
National Ranking
1755

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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