World's Best Scientists 2026 revealed!
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Feixiong Cheng

D-Index & Metrics

Biology and Biochemistry

D-Index
74
Citations
23149
World Ranking
5521
National Ranking
2624

Engineering and Technology

D-Index
66
Citations
19853
World Ranking
1389
National Ranking
460

Feixiong Cheng publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Feixiong Cheng sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 202 publications — 49th percentile

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

The last bar groups every scientist with 804 publications or more.

Feixiong Cheng D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Feixiong Cheng sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 66 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Feixiong Cheng is affiliated with Case Western Reserve University in the United States and has contributed extensively to the fields of biochemistry, genetics, and molecular biology as well as medicine. Their research portfolio includes a substantial number of publications, with a focus on molecular biology, computational theory and mathematics, neurology, genetics, and cardiology and cardiovascular medicine.

Their scientific work addresses a range of topics, including:

  • Bioinformatics and genomic networks
  • Computational drug discovery methods
  • Neuroinflammation and neurodegeneration mechanisms
  • Alzheimer's disease research and treatments
  • Immune cells in cancer
  • Single-cell and spatial transcriptomics
  • SARS-CoV-2 and COVID-19 research

Feixiong Cheng has collaborated frequently with coauthors such as Yadi Zhou, Andrew A. Pieper, Yuan Hou, Jeffrey L. Cummings, and Jielin Xu.

Their recent impactful publications include:

  • "Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2" (2020), published in Cell Discovery
  • "Artificial intelligence in COVID-19 drug repurposing" (2020), published in The Lancet Digital Health
  • "New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis" (2020), published in BMC Medicine
  • "Alzheimer's disease drug development pipeline: 2023" (2023), published in Alzheimer's & Dementia Translational Research & Clinical Interventions
  • "Target identification among known drugs by deep learning from heterogeneous networks" (2020), published in Chemical Science

The primary venues for their publications have included bioRxiv (Cold Spring Harbor Laboratory), Alzheimer's & Dementia, Circulation, SSRN Electronic Journal, and Alzheimer's & Dementia Translational Research & Clinical Interventions.

Best Publications

  • The Immune Landscape of Cancer

    Vésteinn Thorsson;David L Gibbs;Scott D Brown;Denise Wolf

  • Oncogenic Signaling Pathways in The Cancer Genome Atlas

    Francisco Sanchez-Vega;Marco Mina;Joshua Armenia;Walid K. Chatila

  • Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

    Katherine A. Hoadley;Christina Yau;Christina Yau;Toshinori Hinoue;Denise M. Wolf

  • Comprehensive Characterization of Cancer Driver Genes and Mutations.

    Matthew H Bailey;Collin Tokheim;Eduard Porta-Pardo;Sohini Sengupta

  • admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties.

    Feixiong Cheng;Weihua Li;Yadi Zhou;Jie Shen

  • Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

    Yadi Zhou;Yuan Hou;Jiayu Shen;Yin Huang

  • Genomic and Functional Approaches to Understanding Cancer Aneuploidy

    Alison M. Taylor;Alison M. Taylor;Juliann Shih;Gavin Ha;Gavin Ha;Galen F. Gao

  • Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

    Feixiong Cheng;Chuang Liu;Jing Jiang;Weiqiang Lu

  • Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

    André Kahles;Kjong-Van Lehmann;Nora C Toussaint;Matthias Hüser

  • Pathogenic Germline Variants in 10,389 Adult Cancers

    Kuan-Lin Huang;R Jay Mashl;Yige Wu;Deborah I Ritter

  • Network-based prediction of drug combinations.

    Feixiong Cheng;István A. Kovács;István A. Kovács;Albert László Barabási

  • Erratum: Comprehensive Characterization of Cancer Driver Genes and Mutations (ARTICLE (2018) 173(2) (371–385), (S009286741830237X), (10.1016/j.cell.2018.02.060))

    Matthew H. Bailey;Collin Tokheim;Eduard Porta-Pardo;Sohini Sengupta

  • Artificial intelligence in COVID-19 drug repurposing

    Yadi Zhou;Fei Wang;Jian Tang;Ruth Nussinov

  • Artificial intelligence in COVID-19 drug repurposing.

    Yadi Zhou;Fei Wang;Jian Tang;Ruth Nussinov;Ruth Nussinov

  • Network-based approach to prediction and population-based validation of in silico drug repurposing

    Feixiong Cheng;Feixiong Cheng;Rishi J. Desai;Diane E. Handy;Ruisheng Wang

  • deepDR: a network-based deep learning approach to in silico drug repositioning.

    Xiangxiang Zeng;Siyi Zhu;Xiangrong Liu;Yadi Zhou

  • Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

    Franz X. Schaub;Varsha Dhankani;Ashton C. Berger;Mihir Trivedi

  • SoNar, a Highly Responsive NAD+/NADH Sensor, Allows High-Throughput Metabolic Screening of Anti-tumor Agents

    Yuzheng Zhao;Qingxun Hu;Feixiong Cheng;Ni Su

  • New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis.

    Yuan Hou;Junfei Zhao;William Martin;Asha Kallianpur;Asha Kallianpur

  • Estimation of ADME properties with substructure pattern recognition.

    Jie Shen;Feixiong Cheng;You Xu;Weihua Li

  • Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.

    Feixiong Cheng;Zhongming Zhao

  • Suppression of the SLC7A11/glutathione axis causes synthetic lethality in KRAS-mutant lung adenocarcinoma

    Kewen Hu;Kun Li;Jing Lv;Jie Feng

  • Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers.

    Xinxin Peng;Zhongyuan Chen;Farshad Farshidfar;Xiaoyan Xu

  • Target identification among known drugs by deep learning from heterogeneous networks.

    Xiangxiang Zeng;Siyi Zhu;Weiqiang Lu;Zehui Liu

  • Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

    Unknown

  • In silico ADMET prediction: recent advances, current challenges and future trends.

    Feixiong Cheng;Weihua Li;Guixia Liu;Yun Tang

  • Deep generative molecular design reshapes drug discovery

    Unknown

  • In silico Prediction of Chemical Ames Mutagenicity

    Congying Xu;Feixiong Cheng;Lei Chen;Zheng Du

  • Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer’s disease

    Unknown

Frequent Co-Authors

Yun Tang
Yun Tang East China University of Science and Technology
Ruth Nussinov
Ruth Nussinov National Institutes of Health
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Weihua Li
Weihua Li East China University of Science and Technology
Justin D. Lathia
Justin D. Lathia Cleveland Clinic Lerner College of Medicine
Charis Eng
Charis Eng Cleveland Clinic Lerner College of Medicine
Lara Jehi
Lara Jehi Cleveland Clinic
Mingyao Liu
Mingyao Liu University Health Network
Andrew A. Pieper
Andrew A. Pieper University of Iowa
Joseph Loscalzo
Joseph Loscalzo Harvard Medical School

External Links

Personal website of Feixiong Cheng Google Scholar page

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Related Online Degrees & Career Pathways

Choosing to study Engineering and Technology in the USA opens the door to diverse career opportunities. For students looking to broaden their skill set or accelerate their professional growth, exploring related online programs can be a smart move. Many industries value multidisciplinary knowledge, and online learning offers flexibility and a wide range of choices.

Those interested in the financial or business aspects of engineering projects may benefit from enrolling in an online finance degree. Combining technical know-how with financial acumen can set candidates apart in project management roles. Alternatively, professionals who want to move quickly into leadership positions could consider fast track MBA programs to gain strategic, high-level business skills in less time.

For those who are interested in the legal or administrative side of technology, fast track paralegal programs provide foundational legal knowledge that can be valuable in regulatory or compliance roles. Likewise, anyone looking to enhance their understanding of financial documentation can consider a bookkeeping course.

Exploring these related pathways online allows students and professionals to customize their education and advance their careers alongside their engineering and technology studies.

Best Scientists Citing Feixiong Cheng

Yun Tang

Yun Tang

East China University of Science and Technology

Publications: 54

Weihua Li

Weihua Li

East China University of Science and Technology

Publications: 51

Zhongming Zhao

Zhongming Zhao

The University of Texas Health Science Center at Houston

Publications: 44

Joseph Loscalzo

Joseph Loscalzo

Harvard Medical School

Publications: 34

Andrew D. Cherniack

Andrew D. Cherniack

Broad Institute

Publications: 23

Justin D. Lathia

Justin D. Lathia

Cleveland Clinic Lerner College of Medicine

Publications: 22

Kunwar P. Singh

Kunwar P. Singh

National Institute of Technology Tiruchirappalli

Publications: 22

Peilin Jia

Peilin Jia

The University of Texas Health Science Center at Houston

Publications: 21

Dong-Sheng Cao

Dong-Sheng Cao

Central South University

Publications: 20

Jianxin Wang

Jianxin Wang

Central South University

Publications: 20

Hualiang Jiang

Hualiang Jiang

Chinese Academy of Sciences

Publications: 19

Zhu-Hong You

Zhu-Hong You

Chinese Academy of Sciences

Publications: 19

Marinka Zitnik

Marinka Zitnik

Harvard University

Publications: 19

Matthew Meyerson

Matthew Meyerson

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Rameen Beroukhim

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Xing Chen

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