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D-Index & Metrics

Genetics

D-Index
84
Citations
66652
World Ranking
1330
National Ranking
28

Cheng Li publications per year

2000: 1 publications 2001: 6 publications 2002: 2 publications 2003: 6 publications 2004: 22 publications 2005: 19 publications 2006: 7 publications 2007: 12 publications 2008: 13 publications 2009: 15 publications 2010: 10 publications 2011: 15 publications 2012: 13 publications 2013: 11 publications 2014: 4 publications 2015: 2 publications 2016: 4 publications 2017: 12 publications 2018: 8 publications 2019: 16 publications 2020: 19 publications 2021: 21 publications 2022: 46 publications 2023: 58 publications 2024: 28 publications 2025: 37 publications
2000 2025

407 publications in total across all disciplines

Cheng Li publication distribution in Genetics in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2027. The highlighted bar marks where Cheng Li sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 227 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Cheng Li D-index placement in Genetics in 2027

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2027. The highlighted bar marks where Cheng Li sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 84 D-Index — 69th percentile

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

The last bar groups every scientist with 160 D-Index or more.

Overview

Cheng Li is affiliated with Peking University in China, focusing research primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work spans several specialized subfields, including Molecular Biology, Immunology, Cancer Research, Oncology, and Pulmonary and Respiratory Medicine. This interdisciplinary approach supports research into complex biological mechanisms across health and disease contexts.

The scientist's research addresses a variety of main topics such as Genomics and Chromatin Dynamics, RNA Research and Splicing, Pluripotent Stem Cells Research, CRISPR and Genetic Engineering, RNA modifications and cancer, Cancer-related molecular mechanisms research, and Single-cell and spatial transcriptomics. These topics reflect a significant focus on the molecular and genetic regulatory systems influencing cellular function and pathology.

Cheng Li has contributed to numerous publications in notable venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell Research
  • Cell Reports
  • Cell stem cell
  • Nature Communications

Selected papers showcasing their recent work include:

  • "Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection," published in 2020 in Nature Immunology
  • "Elimination of senescent cells by β-galactosidase-targeted prodrug attenuates inflammation and restores physical function in aged mice," published in 2020 in Cell Research
  • "Chemical reprogramming of human somatic cells to pluripotent stem cells," published in 2022 in Nature
  • "Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody," published in 2020 in bioRxiv (Cold Spring Harbor Laboratory)
  • "Genome-wide analyses of chromatin interactions after the loss of Pol I, Pol II, and Pol III," published in 2020 in Genome Biology

Frequent collaborators include:

  • Hongkui Deng
  • Yujie Sun
  • Yingping Hou
  • Jingyang Guan
  • Yulin Lyu

This network of coauthors suggests active involvement in collaborative research projects integrating various molecular and cellular biology disciplines.

Best Publications

  • Bioconductor: open software development for computational biology and bioinformatics

    Robert C Gentleman;Vincent J Carey;Douglas M. Bates;B.M. Bolstad

  • GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.

    Zefang Tang;Chenwei Li;Boxi Kang;Ge Gao

  • Adjusting batch effects in microarray expression data using empirical Bayes methods

    W. Evan Johnson;Cheng Li;Ariel Rabinovic

  • Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection

    Cheng Li;Wing Hung Wong

  • Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

    Arindam Bhattacharjee;William G. Richards;Jane Staunton;Cheng Li

  • Gene regulation and DNA damage in the ageing human brain.

    Tao Lu;Ying Pan;Shyan Yuan Kao;Cheng Li

  • Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma

    Levi A. Garraway;Hans R. Widlund;Mark A. Rubin;Gad Getz

  • Genome-wide expression analysis reveals dysregulation of myelination-related genes in chronic schizophrenia.

    Yaron Hakak;John R. Walker;Cheng Li;Wing Hung Wong

  • Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application

    Cheng Li;Wing Hung Wong

  • Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection

    Xuemei Xie;Qiang Shi;Peng Wu;Xiaoyu Zhang

  • An Integrated View of Copy Number and Allelic Alterations in the Cancer Genome Using Single Nucleotide Polymorphism Arrays

    Xiaojun Zhao;Cheng Li;J. Guillermo Paez;Koei Chin

  • Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer's disease

    Marta M. Lipinski;Bin Zheng;Tao Lu;Zhenyu Yan

  • Highly parallel identification of essential genes in cancer cells

    Biao Luo;Hiu Wing Cheung;Aravind Subramanian;Tanaz Sharifnia

  • Two supervised learning approaches for name disambiguation in author citations

    Hui Han;Lee Giles;Hongyuan Zha;Cheng Li

  • Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data

    Cheng Li;Wing Hung Wong

  • dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data

    Ming Lin;Lee-Jen Wei;William R. Sellers;Marshall Lieberfarb

  • Derivation of Pluripotent Stem Cells with In Vivo Embryonic and Extraembryonic Potency

    Yang Yang;Bei Liu;Jun Xu;Jinlin Wang

  • Genome coverage and sequence fidelity of ϕ29 polymerase‐based multiple strand displacement whole genome amplification

    J. Guillermo Paez;Ming Lin;Rameen Beroukhim;Jeffrey C. Lee

  • CRISPR-Edited Stem Cells in a Patient with HIV and Acute Lymphocytic Leukemia

    Lei Xu;Jun Wang;Yulin Liu;Liangfu Xie

  • Homozygous Deletions and Chromosome Amplifications in Human Lung Carcinomas Revealed by Single Nucleotide Polymorphism Array Analysis

    Xiaojun Zhao;Barbara A. Weir;Thomas Louis LaFramboise;Ming Lin

Frequent Co-Authors

Nikhil C. Munshi
Nikhil C. Munshi Harvard University
Wing Hung Wong
Wing Hung Wong Stanford University
Matthew Meyerson
Matthew Meyerson Harvard University
Kenneth C. Anderson
Kenneth C. Anderson Harvard University
Yu-Tzu Tai
Yu-Tzu Tai Harvard University
Rameen Beroukhim
Rameen Beroukhim Harvard University
William R. Sellers
William R. Sellers Harvard University
Hongkui Deng
Hongkui Deng Peking University
Faith E. Davies
Faith E. Davies New York University Langone Medical Center

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