World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
14906
World Ranking
10176
National Ranking
4446

Jian-Hua Mao 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 Jian-Hua Mao 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: 258 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Jian-Hua Mao 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 Jian-Hua Mao 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: 63 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Jian-Hua Mao is affiliated with the Lawrence Berkeley National Laboratory in the United States. Their research spans several interconnected domains within medicine and biochemistry, genetics, and molecular biology. The scientist's primary focus areas include the study of gut microbiota and its impact on health, radiation therapy and dosimetry, ferroptosis and cancer prognosis, cancer immunotherapy and biomarkers, laser-plasma interactions and diagnostics, nuclear physics and applications, and peptidase inhibition and analysis.

Their work has been published extensively in various venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Environment International
  • Research Square (Research Square)
  • SSRN Electronic Journal

Jian-Hua Mao has authored and contributed to multiple research papers over recent years. Some notable publications include:

  • "Resveratrol Modulates the Gut Microbiota and Inflammation to Protect Against Diabetic Nephropathy in Mice," 2020, published in Frontiers in Pharmacology
  • "Genetic and metabolic links between the murine microbiome and memory," 2020, published in Microbiome
  • "Prospective study reveals a microbiome signature that predicts the occurrence of post-operative enterocolitis in Hirschsprung disease (HSCR) patients," 2020, published in Gut Microbes
  • "A new platform for ultra-high dose rate radiobiological research using the BELLA PW laser proton beamline," 2022, published in Scientific Reports
  • "Gut microbiome partially mediates and coordinates the effects of genetics on anxiety-like behavior in Collaborative Cross mice," 2021, published in Scientific Reports

Collaborations form a significant aspect of Jian-Hua Mao's research output. Frequent co-authors include Antoine M. Snijders, Hang Chang, Bo Hang, S Celniker, and Yankai Xia.

The scientist's body of work primarily navigates the intersections of molecular biology, pulmonary and respiratory medicine, oncology, cancer research, and genetics. Within these broad disciplines, detailed subfields such as the molecular mechanisms behind cancer progression, immune system interactions with tumors, and the biological effects of radiation exposure are also explored.

Jian-Hua Mao continues to contribute to scientific advancement through interdisciplinary studies that integrate genetics, microbiology, and biophysics, coupling experimental research with emerging analytical technologies.

Best Publications

  • Dissection of mechanisms of Chinese medicinal formula Realgar-Indigo naturalis as an effective treatment for promyelocytic leukemia

    Lan Wang;Guang Biao Zhou;Guang Biao Zhou;Ping Liu;Jun Hong Song

  • FBXW7 targets mTOR for degradation and cooperates with PTEN in tumor suppression.

    Jian-Hua Mao;Il-Jin Kim;Di Wu;Joan Climent

  • RNA-seq analysis of prostate cancer in the Chinese population identifies recurrent gene fusions, cancer-associated long noncoding RNAs and aberrant alternative splicings

    Shancheng Ren;Zhiyu Peng;Jian-Hua Mao;Yongwei Yu

  • Identification of Stk6/STK15 as a candidate low-penetrance tumor-susceptibility gene in mouse and human

    Amanda Ewart-Toland;Paraskevi Briassouli;John P de Koning;John P de Koning;Jian-Hua Mao

  • Fbxw7 / Cdc4 is a p53-dependent, haploinsufficient tumour suppressor gene

    Jian-Hua Mao;Jesus Perez-losada;Di Wu;Reyno DelRosario

  • Amplification of PVT1 Contributes to the Pathophysiology of Ovarian and Breast Cancer

    Yinghui Guan;Wen Lin Kuo;Jackie L. Stilwell;Hirokuni Takano

  • Dissociation of Epithelial and Neuroendocrine Carcinoma Lineages in the Transgenic Adenocarcinoma of Mouse Prostate Model of Prostate Cancer

    Teresa Chiaverotti;Suzana S. Couto;Annemarie Donjacour;Jian-Hua Mao

  • A 12-Gene Set Predicts Survival Benefits from Adjuvant Chemotherapy in Non-Small-Cell Lung Cancer Patients

    Hao Tang;Guanghua Xiao;Carmen Behrens;Joan Schiller

  • A Mouse Skin Multistage Carcinogenesis Model Reflects the Aberrant DNA Methylation Patterns of Human Tumors

    Mario F. Fraga;Michel Herranz;Jesús Espada;Esteban Ballestar

  • Genome-wide detection of chromosomal imbalances in tumors using BAC microarrays.

    Wei-Wen Cai;Jian-Hua Mao;Chi-Wen Chow;Shamsha Damani

  • Platelet integrin αIIbβ3: signal transduction, regulation, and its therapeutic targeting

    Jiansong Huang;Xia Li;Xiaofeng Shi;Mark Zhu

  • The prostate cancer-up-regulated long noncoding RNA PlncRNA-1 modulates apoptosis and proliferation through reciprocal regulation of androgen receptor.

    Zilian Cui;Shancheng Ren;Ji Lu;Fubo Wang

  • From an old remedy to a magic bullet: molecular mechanisms underlying the therapeutic effects of arsenic in fighting leukemia

    Sai-Juan Chen;Guang-Biao Zhou;Xiao-Wei Zhang;Jian-Hua Mao

  • CUL4A Induces Epithelial–Mesenchymal Transition and Promotes Cancer Metastasis by Regulating ZEB1 Expression

    Yunshan Wang;Mingxin Wen;Yongwon Kwon;Yangyang Xu

  • A novel gene expression-based prognostic scoring system to predict survival in gastric cancer

    Pin Wang;Yunshan Wang;Bo Hang;Xiaoping Zou

  • Epigenome analyses using BAC microarrays identify evolutionary conservation of tissue-specific methylation of SHANK3

    Tsui Ting Ching;Alika K. Maunakea;Peter Jun;Chibo Hong

  • LD78β, A Non-allelic Variant of Human MIP-1α (LD78α), Has Enhanced Receptor Interactions and Potent HIV Suppressive Activity

    Robert J.B. Nibbs;Jinying Yang;Nathaniel R. Landau;Jian-Hua Mao

  • HIPK2 represses β-catenin-mediated transcription, epidermal stem cell expansion, and skin tumorigenesis

    Guangwei Wei;Stephen Ku;Gene K. Ma;Shin'ichi Saito

  • Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy

    Weiguo Zhang;Jian-Hua Mao;Wei Zhu;Anshu K. Jain

  • Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

    Hang Chang;Ju Han;Cheng Zhong;Antoine M. Snijders

Frequent Co-Authors

Allan Balmain
Allan Balmain University of California, San Francisco
David M. Jablons
David M. Jablons University of California, San Francisco
Yankai Xia
Yankai Xia Nanjing Medical University
Susan E. Celniker
Susan E. Celniker Lawrence Berkeley National Laboratory
Joe W. Gray
Joe W. Gray Oregon Health & Science University
Zhu Chen
Zhu Chen Shanghai Jiao Tong University
Gary H. Karpen
Gary H. Karpen University of California, Berkeley
Janet K. Jansson
Janet K. Jansson Pacific Northwest National Laboratory
David W. Threadgill
David W. Threadgill Texas A&M University
Marc E. Lenburg
Marc E. Lenburg Boston University

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