World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 76 1803 1715 827 779 268 28945

David Fenyö publications per year

The chart shows the history of publications by David Fenyö between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Fenyö published across 38 years, from 1989 to 2026, averaging 11 papers a year. Output peaked at 68 publications in 2023. 22 of the 417 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 68. Peak 68 publications in 2023. 1989: 6 publications 1990: 2 publications 1991: 6 publications 1992: 2 publications 1993: 3 publications 1994: 7 publications 1995: 1 publication 1996: 4 publications 1997: 5 publications 1998: 1 publication 1999: 1 publication 2000: 5 publications 2001: 2 publications 2002: 3 publications 2003: 2 publications 2004: 4 publications 2005: 6 publications 2006: 7 publications 2007: 6 publications 2008: 8 publications 2009: 3 publications 2010: 7 publications 2011: 4 publications 2012: 2 publications 2013: 7 publications 2014: 10 publications 2015: 9 publications 2016: 26 publications 2017: 19 publications 2018: 23 publications 2019: 20 publications 2020: 35 publications 2021: 34 publications 2022: 25 publications 2023: 68 publications 2024: 22 publications 2025: 21 publications 2026: 1 publication
1989 2026

417 publications in total across all disciplines

View publications per year as a table
David Fenyö: publications per year, 1989 to 2026
Year Publications
1989 6
1990 2
1991 6
1992 2
1993 3
1994 7
1995 1
1996 4
1997 5
1998 1
1999 1
2000 5
2001 2
2002 3
2003 2
2004 4
2005 6
2006 7
2007 6
2008 8
2009 3
2010 7
2011 4
2012 2
2013 7
2014 10
2015 9
2016 26
2017 19
2018 23
2019 20
2020 35
2021 34
2022 25
2023 68
2024 22
2025 21
2026 1
Total 417
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 265–274 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88 268
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 76–77 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127 76
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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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
Pei Wang
Pei Wang Icahn School of Medicine at Mount Sinai
Karl R. Clauser
Karl R. Clauser Broad Institute
Tao Liu
Tao Liu Pacific Northwest National Laboratory

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