World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
76
Citations
28945
World Ranking
1803
National Ranking
827

David Fenyö 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 David Fenyö 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: 268 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

David Fenyö 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 David Fenyö 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: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

David Fenyö is affiliated with New York University in the United States. Their research spans a broad range of topics primarily within the domains of biochemistry, genetics, molecular biology, and medicine.

Their main fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these fields, their subfields of study further focus on:

  • Molecular Biology
  • Pulmonary and Respiratory Medicine
  • Oncology
  • Spectroscopy
  • Cancer Research

The key topics covered in their work include:

  • Cancer Genomics and Diagnostics
  • Advanced Proteomics Techniques and Applications
  • Chromosomal and Genetic Variations
  • Ferroptosis and cancer prognosis
  • CRISPR and Genetic Engineering
  • RNA modifications and cancer
  • AI in cancer detection

David Fenyö's frequent co-authors are:

  • Li Ding
  • Runyu Hong
  • Sarah Keegan
  • Henry Rodriguez
  • Mehdi Mesri

They have published extensively in several venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell
  • Cancer Research
  • Cancer Cell
  • Clinical and Translational Medicine

Some of their recent papers are:

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma, 2020, Cell
  • Proteogenomic and metabolomic characterization of human glioblastoma, 2021, Cancer Cell
  • Proteogenomic characterization of pancreatic ductal adenocarcinoma, 2021, Cell
  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy, 2020, Cell
  • Proteogenomic Characterization of Endometrial Carcinoma, 2020, Cell

Best Publications

  • Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

    Nicolas Coudray;Paolo Santiago Ocampo;Theodore Sakellaropoulos;Navneet Narula

  • Proteogenomics connects somatic mutations to signalling in breast cancer

    Philipp Mertins;D. R. Mani;Kelly V. Ruggles;Michael A. Gillette;Michael A. Gillette

  • Proteogenomic characterization of human colon and rectal cancer

    Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu

  • Sequence and structural convergence of broad and potent HIV antibodies that mimic CD4 binding.

    Johannes F. Scheid;Hugo Mouquet;Beatrix Ueberheide;Ron Diskin

  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

    Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

    Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

  • Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

    David J. Clark;Saravana M. Dhanasekaran;Francesca Petralia;Jianbo Pan

  • Proteogenomic and metabolomic characterization of human glioblastoma

    Liang-Bo Wang;Alla Karpova;Marina A. Gritsenko;Jennifer E. Kyle

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

    Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk

  • A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes.

    David Fenyö;Ronald C Beavis

  • A robust pipeline for rapid production of versatile nanobody repertoires

    Peter C Fridy;Yinyin Li;Sarah Keegan;Mary K Thompson

  • Four histone variants mark the boundaries of polycistronic transcription units in Trypanosoma brucei

    T. Nicolai Siegel;Doeke R. Hekstra;Louise E. Kemp;Luisa M. Figueiredo

  • Ischemia in Tumors Induces Early and Sustained Phosphorylation Changes in Stress Kinase Pathways but Does Not Affect Global Protein Levels

    Philipp Mertins;Feng Yang;Tao Liu;D. R. Mani

  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.

    Karsten Krug;Eric J. Jaehnig;Shankha Satpathy;Lili Blumenberg

  • Using Annotated Peptide Mass Spectrum Libraries for Protein Identification

    R. Craig;J. C. Cortens;D. Fenyo;R. C. Beavis

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Liwei Cao;Chen Huang;Daniel Cui Zhou;Yingwei Hu

  • Proteogenomic Characterization of Endometrial Carcinoma.

    Yongchao Dou;Emily A. Kawaler;Daniel Cui Zhou;Marina A. Gritsenko

  • RADARS, a bioinformatics solution that automates proteome mass spectral analysis, optimises protein identification, and archives data in a relational database

    Helen I. Field;David Fenyö;Ronald C. Beavis

  • A Systems Biology Approach Identifies FUT8 as a Driver of Melanoma Metastasis

    Praveen Agrawal;Barbara Fontanals-Cirera;Elena Sokolova;Samson Jacob

  • Protein indentification using mass spectrometric information

    David Fenyö;Jun Qin;Brian T. Chait

Frequent Co-Authors

Brian T. Chait
Brian T. Chait Rockefeller University
Li Ding
Li Ding Washington University in St. Louis
Jef D. Boeke
Jef D. Boeke New York University
Matthew J. Ellis
Matthew J. Ellis Baylor College of Medicine
Steven A. Carr
Steven A. Carr Broad Institute
Amanda G. Paulovich
Amanda G. Paulovich Fred Hutchinson Cancer Research Center
Bing Zhang
Bing Zhang Baylor College of Medicine
Karl R. Clauser
Karl R. Clauser Broad Institute
Pei Wang
Pei Wang Icahn School of Medicine at Mount Sinai
Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory

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