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D-Index & Metrics

Genetics

D-Index
66
Citations
35554
World Ranking
2563
National Ranking
1139

Debora S. Marks 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 Debora S. Marks 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: 141 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Debora S. Marks 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 Debora S. Marks 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: 66 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Debora S. Marks is affiliated with Harvard University in the United States. Their research spans multiple disciplines within biochemistry, genetics, and molecular biology, with a particular emphasis on molecular biology and genetics. They have also contributed extensively to the intersection of artificial intelligence with biomedical sciences.

The primary fields of study in their research include:

  • Biochemistry, Genetics and Molecular Biology

Their work further focuses on several subfields, including:

  • Molecular Biology
  • Genetics
  • Artificial Intelligence
  • Infectious Diseases
  • Radiology, Nuclear Medicine and Imaging

Key research topics covered in their publications consist of:

  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Evolution and Genetic Dynamics
  • Genomics and Rare Diseases
  • Monoclonal and Polyclonal Antibodies Research

Marks has published a substantial number of papers across multiple renowned scientific venues. Among the most frequent are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature
  • Nature Communications
  • arXiv (Cornell University)

Recent significant papers include:

  • Scientific discovery in the age of artificial intelligence, 2023, Nature
  • Disease variant prediction with deep generative models of evolutionary data, 2021, Nature
  • Protein design and variant prediction using autoregressive generative models, 2021, Nature Communications
  • A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories, 2023, Nature Medicine
  • Machine learning for functional protein design, 2024, Nature Biotechnology

Frequent co-authors who have collaborated with Marks include:

  • Chris Sander
  • Pascal Notin
  • Joseph Min
  • Kelly P. Brock
  • Nathan Rollins

Best Publications

  • Human MicroRNA Targets

    Bino John;Anton James Enright;Anton James Enright;Alexei Aravin;Thomas Tuschl

  • MicroRNA targets in Drosophila

    Anton J Enright;Bino John;Ulrike Gaul;Thomas Tuschl

  • The microRNA.org resource: targets and expression

    Doron Betel;Manda Wilson;Aaron P Gabow;Debora S. Marks

  • Identification of Virus-Encoded MicroRNAs

    Sébastien Pfeffer;Mihaela Zavolan;Friedrich A. Grässer;Minchen Chien

  • Direct-coupling analysis of residue coevolution captures native contacts across many protein families

    Faruck Morcos;Andrea Pagnani;Bryan Lunt;Arianna Bertolino

  • Protein 3D structure computed from evolutionary sequence variation.

    Debora S. Marks;Lucy J. Colwell;Robert Sheridan;Thomas A. Hopf

  • The small RNA profile during Drosophila melanogaster development

    Alexei A. Aravin;Mariana Lagos-Quintana;Abdullah Yalcin;Mihaela Zavolan

  • miR-122, a mammalian liver-specific microRNA, is processed from hcr mRNA and may downregulate the high affinity cationic amino acid transporter CAT-1.

    Jinhong Chang;Emmanuelle Nicolas;Debora Marks;Chris Sander

  • Protein structure prediction from sequence variation

    Debora S Marks;Thomas A Hopf;Chris Sander

  • miRcode: A map of putative microRNA target sites in the long non-coding transcriptome

    Ashwini Jeggari;Debora S Marks;Erik Larsson

  • Mutation effects predicted from sequence co-variation.

    Thomas A Hopf;John B Ingraham;Frank J Poelwijk;Charlotta P I Schärfe;Charlotta P I Schärfe

  • Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs

    Aly A Khan;Doron Betel;Martin L Miller;Martin L Miller;Chris Sander

  • Three-dimensional structures of membrane proteins from genomic sequencing.

    Thomas A. Hopf;Lucy J. Colwell;Robert Sheridan;Burkhard Rost

  • Deep generative models of genetic variation capture the effects of mutations.

    Adam J. Riesselman;John B. Ingraham;Debora S. Marks

  • MicroRNA profiling of the murine hematopoietic system

    Silvia Monticelli;Silvia Monticelli;K Mark Ansel;Changchun Xiao;Nicholas D Socci

  • Sequence co-evolution gives 3D contacts and structures of protein complexes

    Thomas A Hopf;Charlotta P I Schärfe;Charlotta P I Schärfe;João P G L M Rodrigues;Anna G Green

  • Disease variant prediction with deep generative models of evolutionary data.

    Jonathan Frazer;Pascal Notin;Mafalda Dias;Aidan Gomez

  • Quantification of the effect of mutations using a global probability model of natural sequence variation

    Thomas A. Hopf;John B. Ingraham;Frank J. Poelwijk;Michael Springer

  • The developmental miRNA profiles of zebrafish as determined by small RNA cloning

    Po Yu Chen;Heiko Manninga;Krasimir Slanchev;Minchen Chien

  • MicroRNA control of protein expression noise

    Jörn M. Schmiedel;Jörn M. Schmiedel;Jörn M. Schmiedel;Sandy L. Klemm;Yannan Zheng;Apratim Sahay

Frequent Co-Authors

Chris Sander
Chris Sander Harvard University
Andrew C. Kruse
Andrew C. Kruse Harvard University
Thomas Tuschl
Thomas Tuschl Rockefeller University
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Thomas G. Bernhardt
Thomas G. Bernhardt Harvard University
Anton J. Enright
Anton J. Enright University of Cambridge
Alexandre M. J. J. Bonvin
Alexandre M. J. J. Bonvin Utrecht University
Kenneth T. Douglas
Kenneth T. Douglas University of Manchester
Robert L. Sheridan
Robert L. Sheridan Harvard University
Alexei A. Aravin
Alexei A. Aravin California Institute of Technology

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