World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
79
Citations
26345
World Ranking
4255
National Ranking
2084

Jun Wei publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Jun Wei sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 436 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Jun Wei D-index placement in Biology and Biochemistry in 2026

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

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 79 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Jun Wei is affiliated with The University of Texas MD Anderson Cancer Center in the United States and has contributed extensively to research in the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Immunology and Microbiology. Their work spans key subfields, including Immunology, Molecular Biology, Biomedical Engineering, Oncology, and Cancer Research.

The main topics addressed in Jun Wei's research include:

  • Immune Cell Function and Interaction
  • T-cell and B-cell Immunology
  • Microfluidic and Bio-sensing Technologies
  • 3D Printing in Biomedical Research
  • Immune cells in cancer
  • CAR-T cell therapy research
  • Plant Gene Expression Analysis

Jun Wei has published research in several notable scientific venues, with the most frequent being:

  • Nature
  • Nature Communications
  • AMB Express
  • Cell
  • Blood

Some recent significant papers by Jun Wei include:

  • "Lipid signalling enforces functional specialization of Treg cells in tumours" (2021, Nature)
  • "In vivo CRISPR screening reveals nutrient signaling processes underpinning CD8+ T cell fate decisions" (2021, Cell)
  • "Metabolic control of TFH cells and humoral immunity by phosphatidylethanolamine" (2021, Nature)
  • "CRISPR screens unveil signal hubs for nutrient licensing of T cell immunity" (2021, Nature)
  • "Regnase-1 suppresses TCF-1+ precursor exhausted T-cell formation to limit CAR-T-cell responses against ALL" (2021, Blood)

In their collaborative work, Jun Wei frequently partners with several researchers, including:

  • Hongbo Chi
  • Yogesh Dhungana
  • Nicole M. Chapman
  • Hao Shi
  • Lingyun Long

Best Publications

  • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

    Javed Khan;Jun S. Wei;Markus Ringnér;Markus Ringnér;Lao H. Saal

  • The genetic landscape of high-risk neuroblastoma

    Trevor J Pugh;Olena Morozova;Edward F Attiyeh;Edward F Attiyeh;Shahab Asgharzadeh;Shahab Asgharzadeh

  • Comprehensive genomic analysis of rhabdomyosarcoma reveals a landscape of alterations affecting a common genetic axis in fusion-positive and fusion-negative tumors

    Jack F. Shern;Li Chen;Juliann Chmielecki;Jun S. Wei

  • Glioma cancer stem cells induce immunosuppressive macrophages/microglia

    Adam Wu;Jun Wei;Ling Yuan Kong;Yongtao Wang

  • PD-L1 expression and prognostic impact in glioblastoma.

    Edjah K. Nduom;Jun Wei;Nasser K. Yaghi;Neal Huang

  • Relapsed neuroblastomas show frequent RAS-MAPK pathway mutations

    Thomas F Eleveld;Derek A Oldridge;Virginie Bernard;Jan Koster

  • Glioblastoma-infiltrated innate immune cells resemble M0 macrophage phenotype.

    Konrad Gabrusiewicz;Benjamin Rodriguez;Jun Wei;Yuuri Hashimoto

  • The genomic landscape of the Ewing Sarcoma family of tumors reveals recurrent STAG2 mutation

    Andrew S. Brohl;David A. Solomon;Wendy Chang;Jianjun Wang

  • Identification of FGFR4-activating mutations in human rhabdomyosarcomas that promote metastasis in xenotransplanted models.

    James G. Taylor Vi;Adam T. Cheuk;Patricia S. Tsang;Joon-Yong Chung

  • The MYCN oncogene is a direct target of miR-34a.

    Jun Stephen Wei;Young Kook Song;Steffen Durinck;Qing-Rong Chen;Qing-Rong Chen

  • A survey of the anti-apoptotic Bcl-2 subfamily expression in cancer types provides a platform to predict the efficacy of Bcl-2 antagonists in cancer therapy

    W J Placzek;J Wei;S Kitada;D Zhai

  • Antagonistic nature of T helper 1/2 developmental programs in opposing peripheral induction of Foxp3+ regulatory T cells

    Jun Wei;Omar Duramad;Omar Duramad;Olivia A. Perng;Steven L. Reiner

  • Glioblastoma Cancer-Initiating Cells Inhibit T-Cell Proliferation and Effector Responses by the Signal Transducers and Activators of Transcription 3 Pathway

    Jun Wei;Jason Barr;Ling Yuan Kong;Yongtao Wang

  • Genetic predisposition to neuroblastoma mediated by a LMO1 super-enhancer polymorphism

    Derek A. Oldridge;Andrew C. Wood;Nina Weichert-Leahey;Ian Crimmins

  • Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target

    Jun Wei;Anantha Marisetty;Brett Schrand;Konrad Gabrusiewicz

  • Glioblastoma stem cell-derived exosomes induce M2 macrophages and PD-L1 expression on human monocytes

    Konrad Gabrusiewicz;Xu Li;Jun Wei;Yuuri Hashimoto

  • Glioma-Associated Cancer-Initiating Cells Induce Immunosuppression

    Jun Wei;Jason Barr;Ling Yuan Kong;Yongtao Wang

  • miR-124 inhibits STAT3 signaling to enhance T cell-mediated immune clearance of glioma.

    Jun Wei;Fei Wang;Ling Yuan Kong;Shuo Xu

  • Prediction of Clinical Outcome Using Gene Expression Profiling and Artificial Neural Networks for Patients with Neuroblastoma

    Javed Khan;Jun S. Wei;Braden T. Greer

  • PAX3-FOXO1 Establishes Myogenic Super Enhancers and Confers BET Bromodomain Vulnerability

    Berkley E. Gryder;Marielle E Yohe;Hsien-Chao Chou;Xiaohu Zhang

Frequent Co-Authors

Maurizio Pellecchia
Maurizio Pellecchia University of California, Riverside
Gregory N. Fuller
Gregory N. Fuller The University of Texas MD Anderson Cancer Center
John C. Reed
John C. Reed Johnson & Johnson (United States)
Waldemar Priebe
Waldemar Priebe The University of Texas MD Anderson Cancer Center
Raymond Sawaya
Raymond Sawaya The University of Texas MD Anderson Cancer Center
George A. Calin
George A. Calin The University of Texas MD Anderson Cancer Center
John M. Maris
John M. Maris Children's Hospital of Philadelphia
Ian L. Megson
Ian L. Megson University of the Highlands and Islands
Javed Khan
Javed Khan National Institutes of Health
Young Min Song
Young Min Song Korea Advanced Institute of Science and Technology

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