World's Best Scientists 2026 revealed!
Sheng-Cai Lin

Sheng-Cai Lin

D-Index & Metrics

Molecular Biology

D-Index
69
Citations
23842
World Ranking
1451
National Ranking
29

Sheng-Cai Lin publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Sheng-Cai Lin sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 122 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Sheng-Cai Lin D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Sheng-Cai Lin sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 69 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Sheng-Cai Lin is affiliated with Xiamen University in China and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and medicine. Their research encompasses molecular biology, surgery, physiology, cancer research, and epidemiology, reflecting a broad scope within life sciences.

The main topics covered in Sheng-Cai Lin's work include metabolism, diabetes, and cancer; pancreatic function and diabetes; cancer, hypoxia, and metabolism; adipose tissue and metabolism; autophagy in disease and therapy; calcium signaling and nucleotide metabolism; and cancer, lipids, and metabolism.

Some of the prominent recent papers by Sheng-Cai Lin include:

  • AMPK and TOR: The Yin and Yang of Cellular Nutrient Sensing and Growth Control, 2020, Cell Metabolism
  • Low-dose metformin targets the lysosomal AMPK pathway through PEN2, 2022, Nature
  • Proto-oncogene Src links lipogenesis via lipin-1 to breast cancer malignancy, 2020, Nature Communications
  • The aldolase inhibitor aldometanib mimics glucose starvation to activate lysosomal AMPK, 2022, Nature Metabolism
  • Aldolase is a sensor for both low and high glucose, linking to AMPK and mTORC1, 2020, Cell Research

Frequent collaborators in their work include Chen-Song Zhang, Mengqi Li, Cixiong Zhang, Xiaoyan Wei, and Hai-long Piao. These co-authors have contributed to multiple publications alongside Sheng-Cai Lin, suggesting ongoing research partnerships.

Sheng-Cai Lin's work has been published across several high-impact venues, with the most frequent publication venues being:

  • Cell Research
  • Nature
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell Metabolism
  • Nature Metabolism

Best Publications

  • A CBP Integrator Complex Mediates Transcriptional Activation and AP-1 Inhibition by Nuclear Receptors

    Yasutomi Kamei;Lan Xu;Thorsten Heinzel;Joseph Torchia

  • RIP3, an energy metabolism regulator that switches TNF-induced cell death from apoptosis to necrosis

    Duan Wu Zhang;Jing Shao;Juan Lin;Na Zhang

  • Molecular basis of the little mouse phenotype and Implications for cell type-specific growth

    Sheng-Cai Lin;Chijen R. Lin;Ilya Gukovsky;Aldons J. Lusis

  • Involvement of microRNA in AU-rich element-mediated mRNA instability.

    Qing Jing;Shuang Huang;Sabine Guth;Tyler Zarubin

  • Characterization of the Structure and Function of a New Mitogen-activated Protein Kinase (p38β)

    Yong Jiang;Canhe Chen;Zhuangjie Li;Wei Guo

  • AMPK: Sensing Glucose as well as Cellular Energy Status

    Sheng-Cai Lin;D. Grahame Hardie

  • Fructose-1,6-bisphosphate and aldolase mediate glucose sensing by AMPK

    Chen-Song Zhang;Simon A. Hawley;Yue Zong;Mengqi Li

  • The lysosomal v-ATPase-Ragulator complex is a common activator for AMPK and mTORC1, acting as a switch between catabolism and anabolism.

    Chen-Song Zhang;Bin Jiang;Mengqi Li;Mingjiang Zhu

  • Cidea-deficient mice have lean phenotype and are resistant to obesity

    Zhihong Zhou;Shen Yon Toh;Zhengming Chen;Ke Guo

  • AMPK and TOR: the Yin and Yang of cellular nutrient sensing and growth control

    Asier González;Michael N. Hall;Sheng-Cai Lin;D. Grahame Hardie

  • Cytosporone B is an agonist for nuclear orphan receptor Nur77

    Yanyan Zhan;Xiping Du;Hangzi Chen;Jingjing Liu

  • Pit-1-dependent expression of the receptor for growth hormone releasing factor mediates pituitary cell growth.

    Chijen Lin;Sheng-Cai Lin;Chia-Ping Chang;Michael G. Rosenfeld

  • Impaired microRNA processing causes corpus luteum insufficiency and infertility in mice

    Motoyuki Otsuka;Min Zheng;Masaaki Hayashi;Jing-Dwan Lee

  • GSK3-TIP60-ULK1 signaling pathway links growth factor deprivation to autophagy.

    Shu-Yong Lin;Terytty Yang Li;Qing Liu;Cixiong Zhang

  • Apoptosis signaling pathway in T cells is composed of ICE/Ced-3 family proteases and MAP kinase kinase 6b

    Shuang Huang;Yong Jiang;Zhuangjie Li;Eisuke Nishida

  • A tissue-specific enhancer confers Pit-1-dependent morphogen inducibility and autoregulation on the pit-1 gene.

    Simon Rhodes;Ruoping Chen;Gabriel E. DiMattia;Kathleen M. Scully

  • Kinases Mst1 and Mst2 positively regulate phagocytic induction of reactive oxygen species and bactericidal activity

    Jing Geng;Xiufeng Sun;Ping Wang;Shihao Zhang

  • AMP as a Low-Energy Charge Signal Autonomously Initiates Assembly of AXIN-AMPK-LKB1 Complex for AMPK Activation

    Ya-Lin Zhang;Huiling Guo;Chen-Song Zhang;Shu-Yong Lin

  • Pituitary ontogeny of the snell dwarf mouse reveals Pit-1-independent and Pit-1-dependent origins of the thyrotrope

    Sheng-Cai Lin;Sen Li;D. W. Drolet;M. G. Rosenfeld

  • Thymosin beta 10 and thymosin beta 4 are both actin monomer sequestering proteins.

    Fu Xin Yu;Sheng Cai Lin;Sheng Cai Lin;Marcelle Morrison-Bogorad;Mark A L Atkinson

Frequent Co-Authors

Jiahuai Han
Jiahuai Han Xiamen University
Yi Zhang
Yi Zhang Harvard University
Michael G. Rosenfeld
Michael G. Rosenfeld University of California, San Diego
Anming Meng
Anming Meng Tsinghua University
D. Grahame Hardie
D. Grahame Hardie University of Dundee
Nancy Y. Ip
Nancy Y. Ip Hong Kong University of Science and Technology
Yuemao Shen
Yuemao Shen Shandong University
Simon A. Hawley
Simon A. Hawley University of Dundee
Huiyong Yin
Huiyong Yin Chinese Academy of Sciences
Elizabeth J. Goldsmith
Elizabeth J. Goldsmith The University of Texas Southwestern Medical Center

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