World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
86
Citations
33355
World Ranking
1245
National Ranking
590

Yufeng Shen 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 Yufeng Shen 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: 262 publications — 69th percentile

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

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

Yufeng Shen 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 Yufeng Shen 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: 86 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Yufeng Shen is affiliated with Columbia University in the United States. Their research spans several main fields of study, primarily Earth and Planetary Sciences and Biochemistry, Genetics and Molecular Biology. Within these broader fields, Shen has contributed substantially to subfields such as Geophysics, Molecular Biology, Environmental Chemistry, Astronomy and Astrophysics, and Oceanography.

The main topics addressed in Shen's work include:

  • Methane Hydrates and Related Phenomena
  • Geophysics and Gravity Measurements
  • Seismic Waves and Analysis
  • Earthquake Detection and Analysis
  • Ionosphere and magnetosphere dynamics
  • Astrophysics and Cosmic Phenomena
  • Immune Cell Function and Interaction

Shen's recent papers reflect a focus on both molecular biology and biophysical studies including immune cell function, genetic screening, and proteome analysis. Notable recent publications include:

  • "Tissue Determinants of Human NK Cell Development, Function, and Residence," 2020, Cell
  • "Functional interrogation of DNA damage response variants with base editing screens," 2021, Cell
  • "Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders," 2020, Nature Communications
  • "MVP predicts the pathogenicity of missense variants by deep learning," 2021, Nature Communications
  • "Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry," 2020, Analytical Chemistry

The scientist frequently collaborates with several coauthors who have substantial records, including Joshua Adkins, Mary Lipton, Anil Shukla, David Koppenaal, and Keqi Tang. Collectively, these collaborations cover a wide range of topics consistent with Shen's interdisciplinary focus on both Earth sciences and molecular biology.

Shen's work has been published extensively in various venues, with significant numbers of publications appearing in:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Transplantation
  • Nature Communications
  • Human Genetics and Genomics Advances

The distribution of Shen's output across these venues underscores a dual emphasis on fundamental scientific research in planetary sciences and biological systems. Their contributions reflect a multidisciplinary approach that integrates advanced analytical techniques and computational methods to address complex scientific problems across several domains.

Best Publications

  • The complete genome of an individual by massively parallel DNA sequencing

    David A. Wheeler;Maithreyan Srinivasan;Michael Egholm;Yufeng Shen

  • Evolutionary and biomedical insights from the rhesus macaque genome

    Richard A. Gibbs;Jeffrey Rogers

  • The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

    Christine G. Elsik;Christine G. Elsik;Christine G. Elsik;Ross L. Tellam;Kim C. Worley;Kim C. Worley;Richard A. Gibbs

  • The support of human genetic evidence for approved drug indications

    Matthew R Nelson;Hannah Tipney;Jeffery L Painter;Judong Shen

  • The genome of the sea urchin Strongylocentrotus purpuratus.

    Erica Sodergren;George M. Weinstock;Eric H. Davidson;R. Andrew Cameron

  • HLA-B*5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin.

    Ann K Daly;Peter T Donaldson;Pallav Bhatnagar;Yufeng Shen

  • Human Tissue-Resident Memory T Cells Are Defined by Core Transcriptional and Functional Signatures in Lymphoid and Mucosal Sites

    Brahma Vencel Kumar;Wenji Ma;Michelle Miron;Tomer Granot

  • De novo mutations in congenital heart disease with neurodevelopmental and other congenital anomalies.

    Jason Homsy;Samir Zaidi;Yufeng Shen;James S. Ware;James S. Ware;James S. Ware

  • Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands

    Sheng Chih Jin;Jason Homsy;Samir Zaidi;Qiongshi Lu

  • Reversed‐phase chromatography with multiple fraction concatenation strategy for proteome profiling of human MCF10A cells

    Yuexi Wang;Feng Yang;Marina A. Gritsenko;Yingchun Wang

  • Spatial map of human T cell compartmentalization and maintenance over decades of life

    Joseph J.C. Thome;Naomi Yudanin;Yoshiaki Ohmura;Masaru Kubota

  • Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells.

    Ying Zhu;Paul D. Piehowski;Rui Zhao;Jing Chen

  • An accurate mass tag strategy for quantitative and high-throughput proteome measurements.

    Richard D. Smith;Gordon A. Anderson;Mary S. Lipton;Ljiljana Pasa-Tolic

  • Susceptibility to Amoxicillin-Clavulanate-Induced Liver Injury is Influenced by Multiple HLA Class I and II Alleles

    M. Isabel Lucena;Mariam Molokhia;Yufeng Shen;Thomas J. Urban

  • Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags.

    Mary S. Lipton;Ljiljana Paša-Tolić;Gordon A. Anderson;David J. Anderson

  • SPARK: A US Cohort of 50,000 Families to Accelerate Autism Research

    Pamela Feliciano;Amy M. Daniels;LeeAnne Green Snyder;Amy Beaumont

  • Utilizing Human Blood Plasma for Proteomic Biomarker Discovery

    Jon M. Jacobs;Joshua N. Adkins;Wei Jun Qian;Tao Liu

  • Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses.

    Konstantinos Petritis;Lars J. Kangas;Patrick L. Ferguson;Gordon A. Anderson

  • Ultra-High-Efficiency Strong Cation Exchange LC/RPLC/MS/MS for High Dynamic Range Characterization of the Human Plasma Proteome

    Yufeng Shen;Jon M. Jacobs;David G. Camp;Ruihua Fang

  • Next-Generation Sequencing of Pulmonary Sarcomatoid Carcinoma Reveals High Frequency of Actionable MET Gene Mutations

    Xuewen Liu;Yuxia Jia;Mark B. Stoopler;Yufeng Shen

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Wendy K. Chung
Wendy K. Chung Columbia University
Gordon A. Anderson
Gordon A. Anderson Pacific Northwest National Laboratory
Christine E. Seidman
Christine E. Seidman Harvard University
Rui Zhao
Rui Zhao Environmental Molecular Sciences Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
Ljiljana Paša-Tolić
Ljiljana Paša-Tolić Environmental Molecular Sciences Laboratory
Megan Sykes
Megan Sykes Columbia University
David G. Camp
David G. Camp Pacific Northwest National Laboratory
Donna L. Farber
Donna L. Farber Columbia University

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