World's Best Scientists 2026 revealed!
Feng Zhang

Feng Zhang

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Genetics
USA
2024
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Genetics and Molecular Biology
China
2024

D-Index & Metrics

Genetics

D-Index
102
Citations
200963
World Ranking
687
National Ranking
349

Feng Zhang publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Feng Zhang 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: 169 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Feng Zhang D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Feng Zhang 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: 102 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2024 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in China Leader Award
  • 2023 - Research.com Genetics in China Leader Award
  • 2023 - Research.com Genetics and Molecular Biology in China Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in China Leader Award

Overview

Feng Zhang is a researcher affiliated with MIT in the United States, with a primary focus on medicine and biochemistry, genetics, and molecular biology. Their work spans several subfields, including molecular biology, genetics, psychiatry and mental health, public health, environmental and occupational health, and biological psychiatry.

The scientist's research covers key topics such as genetic associations and epidemiology, tryptophan and brain disorders, gut microbiota and health, sleep and related disorders, genetics and neurodevelopmental disorders, migraine and headache studies, and diet and metabolism studies.

Frequent co-authors collaborating with Feng Zhang include Shiqiang Cheng, Yan Wen, Bolun Cheng, Yumeng Jia, and Li Liu.

Their published work often appears in venues like Research Square, SSRN Electronic Journal, Nutrients, PubMed, and International Journal of Molecular Sciences.

Notable recent papers authored or co-authored by Feng Zhang are:

  • Long-term efficacy and safety of erenumab in migraine prevention: Results from a 5-year, open-label treatment phase of a randomized clinical trial, 2021, European Journal of Neurology
  • Pulmonary embolism and 529 human blood metabolites: genetic correlation and two-sample Mendelian randomization study, 2022, BMC Genomic Data
  • Socioeconomic Deprivation Index Is Associated With Psychiatric Disorders: An Observational and Genome-wide Gene-by-Environment Interaction Analysis in the UK Biobank Cohort, 2020, Biological Psychiatry
  • Oroxylin a promotes PGC-1α/Mfn2 signaling to attenuate hepatocyte pyroptosis via blocking mitochondrial ROS in alcoholic liver disease, 2020, Free Radical Biology and Medicine
  • Long-term safety and efficacy of erenumab in patients with chronic migraine: Results from a 52-week, open-label extension study, 2020, Cephalalgia

Best Publications

  • Multiplex Genome Engineering Using CRISPR/Cas Systems

    Le Cong;Le Cong;F. Ann Ran;F. Ann Ran;David M. Cox;David M. Cox;Shuailiang Lin;Shuailiang Lin

  • Genome engineering using the CRISPR-Cas9 system

    F Ann Ran;Patrick D Hsu;Jason Wright;Vineeta Agarwala;Vineeta Agarwala

  • Development and applications of CRISPR-Cas9 for genome engineering.

    Patrick D. Hsu;Patrick D. Hsu;Patrick D. Hsu;Eric S. Lander;Feng Zhang;Feng Zhang

  • Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells

    Ophir Shalem;Ophir Shalem;Neville E Sanjana;Neville E Sanjana;Ella Hartenian;Xi-Shun Shi

  • Millisecond-timescale, genetically targeted optical control of neural activity.

    Edward S Boyden;Feng Zhang;Ernst Bamberg;Georg Nagel

  • DNA targeting specificity of RNA-guided Cas9 nucleases

    Patrick D Hsu;David Arthur Scott;David Arthur Scott;Joshua A Weinstein;Joshua A Weinstein;F. Ann Ran;F. Ann Ran;F. Ann Ran

  • Improved vectors and genome-wide libraries for CRISPR screening.

    Neville E Sanjana;Ophir Shalem;Feng Zhang

  • Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system.

    Bernd Zetsche;Jonathan S. Gootenberg;Omar O. Abudayyeh;Ian M. Slaymaker

  • One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering.

    Haoyi Wang;Hui Yang;Chikdu S. Shivalila;Meelad M. Dawlaty

  • Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity

    F. Ann Ran;Patrick D. Hsu;Chie Yu Lin;Jonathan S. Gootenberg

  • Driving fast-spiking cells induces gamma rhythm and controls sensory responses

    Jessica A. Cardin;Marie Carlén;Marie Carlén;Konstantinos Meletis;Konstantinos Meletis;Ulf Knoblich

  • Parvalbumin neurons and gamma rhythms enhance cortical circuit performance

    Vikaas S. Sohal;Feng Zhang;Ofer Yizhar;Karl Deisseroth

  • Nucleic acid detection with CRISPR-Cas13a/C2c2

    Jonathan S. Gootenberg;Omar O. Abudayyeh;Jeong Wook Lee;Patrick Essletzbichler

  • RNA-guided editing of bacterial genomes using CRISPR-Cas systems

    Wenyan Jiang;David Bikard;David R Cox;David R Cox;Feng Zhang;Feng Zhang

  • In vivo genome editing using Staphylococcus aureus Cas9

    F. Ann Ran;Le Cong;Winston X. Yan;David A. Scott

  • Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex

    Silvana Konermann;Mark D. Brigham;Alexandro E. Trevino;Julia Joung

  • Rationally Engineered Cas9 Nucleases With Improved Specificity

    Ian M. Slaymaker;Linyi Gao;Bernd Zetsche;David A. Scott

  • Crystal structure of Cas9 in complex with guide RNA and target DNA

    Takashi Yamano;Hiroshi Nishimasu;Hiroshi Nishimasu;Bernd Zetsche;Hisato Hirano

  • C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector

    Omar O. Abudayyeh;Jonathan S. Gootenberg;Silvana Konermann;Silvana Konermann;Silvana Konermann;Julia Joung;Julia Joung;Julia Joung

  • Genome engineering using CRISPR-Cas9 system.

    Le Cong;Feng Zhang

Frequent Co-Authors

Neville E. Sanjana
Neville E. Sanjana New York University
Junbo Ge
Junbo Ge Fudan University
Karl Deisseroth
Karl Deisseroth Stanford University
James R. Lupski
James R. Lupski Baylor College of Medicine
Hong-Wen Deng
Hong-Wen Deng Tulane University
Daniel F. Voytas
Daniel F. Voytas University of Minnesota
Cai-Zhuang Wang
Cai-Zhuang Wang Iowa State University
Kai-Ming Ho
Kai-Ming Ho Iowa State University
Tim D. Spector
Tim D. Spector King's College London
Eugene V. Koonin
Eugene V. Koonin National Institutes of Health

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